The alloy-design strategy of combining multiple elements in near-equimolar ratios has shown great potential for producing exceptional engineering materials, often known as ‘high-entropy alloys’. Understanding the elemental distribution, and, thus, the evolution of the configurational entropy during solidification, is undertaken in the present study using the Al1.3CoCrCuFeNi model alloy. Here we show that, even when the material undergoes elemental segregation, precipitation, chemical ordering and spinodal decomposition, a significant amount of disorder remains, due to the distributions of multiple elements in the major phases. The results suggest that the high-entropy alloy-design strategy may be applied to a wide range of complex materials, and should not be limited to the goal of creating single-phase solid solutions.
Intermetallic compounds—ordered structures of two or more metallic elements—have long been studied and developed for high-temperature applications1,2,3,4. More recently, the high-entropy alloy-design strategy has emerged5,6,7,8, in which five or more elements are mixed in near-equimolar ratios, such that the high configurational entropy of mixing could promote solution formation. At high temperatures, disordered solid solutions are especially favoured in such alloys because of the high mixing entropy effect. As temperature decreases, the high-entropy effect becomes less important in relation to the enthalpy effect, and phases with a higher degree of order are favoured, including ordered solid solutions9. However, there is still an enhancement of the overall disorder due to the entropy effect, as reflected in the multi-element composition in most phases.
Depending on the detailed entropy–enthalpy balance, a number of phases may evolve as the alloy cools from high temperatures, including a random solid solution, partially ordered solid solution, ordered solid solution or even a stoichiometric compound. The present work examines the structural evolution of the Al1.3CoCrCuFeNi alloy, from the liquid to the room temperature phases, using integrated experimental to theoretical techniques. The observed phases, including the disordered and partially ordered solid solution structures, are quantitatively described within a unified structural model. This approach goes beyond the common practice of discretely categorizing the phases as ordered versus disordered structures and may lead to a better understanding of the temperature-dependent structures in a wide variety of complex alloys.
The term ‘high-entropy’ has been used for alloys with multiple principal elements (that is, five or more elements, with concentrations between 5 and 35 atomic percents) because of their inherent high configurational entropy of mixing in the random solution state and because of the emphasis on enhancing the formation of solid solution phases5,6. However, to avoid the possible confusion in the discussion of entropy and enthalpy effects on phase separation, or the degree of ordering, the phrase, ‘multi-principal-element alloy’, will be substituted for high-entropy alloy in the discussion below.
Many multi-principal-element alloys have shown exceptional properties, including high strengths at elevated temperatures6,8,10,11,12,13,14,15, ductility16,17, toughness18, resistance to corrosion19,20, wear21 and fatigue22. These favourable properties are sometimes associated with the locally strained solid solution structures, especially those with simple, single-phase microstructures5,23,24. Given the importance of these structures, and the frequent deviations from them, there is a need to rigorously characterize the atomic distributions, going beyond a basic ‘ordered’ versus ‘disordered’ categorization, to understand the temperature-dependent ordering behaviour. This understanding may be achieved by combining advanced techniques, such as in situ neutron scattering, high-energy synchrotron X-ray diffraction, atom-probe tomography (APT), high-resolution electron microscopy and ab initio molecular dynamics (AIMD) simulations.
A randomly mixed solid solution will have a high configurational entropy of mixing , given for ideal solutions by25
Here, R is the ideal gas constant and xi is the molar fraction concentration of the ith element. For equimolar alloys, this equation reduces to , where n is the number of elements. This simple relationship between the configurational entropy of mixing and the number of principal elements serves as the basis for defining high-entropy alloys as having five or more multiple principal elements6.
Although the random mixing of n≥5 elements would result in large values of , the presence of all of these elements does not always ensure that such mixing is achievable or thermodynamically stable26,27. Phase stability depends on both the entropy and enthalpy, according to the Gibbs free energy, ΔG, which has the general form,
where the ΔH is the total enthalpy change, relative to a standard state, and the ΔS is the total entropy change, including both configurational and dynamical contributions28. The stable phase always has the lowest ΔG, but not necessarily the largest ΔS (or ). However, is an essential consideration in the design of alloys with multiple principal elements and it is the main focus of the present work.
For binary intermetallic compounds, the quantity may be expressed as a function of a site-ordering parameter, η, which ranges from 0 to 1. This model includes the random (η=0) and fully ordered (η=1) configurations as limiting cases1,29,30. Here this approach is extended to the case of a multi-principal-element phase by applying a set of order parameters, ηi, for i=1 to n elements, which are distributed on two equivalent sublattices (see Methods). The order parameters will now range from −1 to 1, and Equation (1) may then be rewritten, as
In the case of a multiphase material, such as the present alloy, the total may be found by the weighted sum of each phase, particularly if no significant volume change occurs due to the phase separation25.
In the present study, the Al1.3CoCrCuFeNi alloy is shown to deviate from the random mixing behaviour, even in the liquid state, according to both simulations and experiments. The solid alloy contains partially ordered phases, where , using equation (3) with the experimental values of ηi, measured over a wide temperature range. Although the values are diminished from that of a random solid solution, their finite values demonstrate that the high-entropy alloy-design strategy has significantly influenced the formation of the ordered phases. We conclude that the high-entropy alloy-design strategy should be considered for a broad range of alloy-development problems, far beyond the recent emphasis on single-phase solid solutions.
Room temperature microstructures
On the scale of hundreds of microns, the microstructure appears as large (~200 μm) crystal grains, representing 95% of the volume fraction, with irregular-shaped islands dispersed throughout the matrix, representing the remaining 5% of the volume (Fig. 1a). Although dendritic growth is not obvious from the present microstructure, it is known to occur in the AlxCoCrCuFeNi system, over a wide range of aluminium contents, x (ref. 31). Here it is inferred that the dendrites have grown and merged, during cooling from the melt, to form the large-grain microstructure. The irregular-shaped islands represent the remnants of the interdendritic regions.
Several grains were individually analysed using a scanning electron microscope, electron-backscatter diffraction (SEM–EBSD) method. The cubic structures and the orientations of individual grains were measured, as shown by the colour coding in Fig. 1b. The crystal structure of these large grains is basically body-centred cubic (BCC), although further details are found on closer examinations, as discussed below. The interdendritic regions have the face-centred cubic (FCC) structure (Supplementary Fig. 1).
On the tens-of-microns scale, the X-ray energy-dispersive spectrometry (EDS) reveals that the crystal grains contain an inhomogeneous mixture of all the constituent elements and that interdendritic regions are Cu rich (Fig. 1c). The inhomogeneity of the crystal grains is partly due to the presence of hundreds of Cu-rich precipitates, which are distinct from the interdendritic regions (Fig. 1d). The combined area fraction of these Cu-rich features (interdendritic regions and rod-shaped precipitates) in Fig. 1d is 15%. The corresponding volume fractions of the interdendritic regions and rods, found by analysing multiple images (Supplementary Fig. 2), are 5 and 10%, respectively.
On the submicron level, the microstructure is determined using the high-resolution SEM (Fig. 2a), transmission electron microscopy (TEM) and selected area diffraction (Supplementary Fig. 3). The large crystal grains are actually composed of coherent BCC/B2 phase mixtures, where B2 is an ordered variant of the BCC structure, often associated with intermetallics30,32. The rod-shaped FCC precipitates are dispersed in BCC/B2 grains (Figs 1d and 2a). The X-ray EDS shows that Al and Ni are found almost exclusively in the B2 regions, Cr in the BCC regions and Cu in the FCC regions (interdendritic regions and rod-shaped precipitates). Co and Fe, however, are found in both the B2 and BCC regions (Fig. 2b). Thus, the room temperature B2 phase contains four principal elements (that is, having concentrations >5 atomic percents)6 of Al, Ni, Co and Fe. The BCC phase has three principal elements (Cr, Co and Fe), and the FCC phases mainly contain Cu.
The BCC/B2 phase mixture is formed by periodic composition modulations within the coherent crystal grains, which is a characteristic feature of spinodal decomposition25. The resulting plate-like microstructure has a ~0.2 μm periodicity (Fig. 2a) and a significantly-reduced configuration entropy of mixing, compared with a homogeneous BCC phase. Note that similar modulated microstructures have previously been identified in the AlxCoCrCuFeNi alloys and are attributed to spinodal decomposition31. These features occur in the high aluminium content compositions (0.8<x<3.0) below the spinodal decomposition temperatures near 600 °C.
The Cu segregation occurs on different length scales. The largest Cu-rich structures are the interdendritic regions (Fig. 1c), comparable to those previously reported in the AlxCoCrCuFeNi system, which contain between 60 and 80 atomic percent Cu33. The interdendritic regions form directly from the Cu-rich liquid, which coexists with the primary BCC phase. The present SEM–EBSD analyses indicate that the interdendritic regions are FCC structures (Supplementary Fig. 1), and EDS shows that they are Cu rich (Fig. 1c,d). Two types of submicron Cu-rich precipitates are identified, particularly the rod-shaped (Fig. 2a) and spherical nanoprecipitates (Fig. 2b). The rods are dispersed throughout the dendrites (that is, the BCC/B2 matrix), but the spheres are found only in the spinodal B2 phase. Given that the total volume of Cu in the material is 16%, it may be inferred that the volume fraction of the Cu nanoprecipitates is on the order of 1% (from above, the Cu-rich rods and interdendritic regions account for 15%). Taking all of the above Cu-rich FCC phases into account, the adjusted volume phase fractions of the alloy are 50% B2, 34% BCC and 16% FCC structures.
Despite the distinct types of Cu-rich precipitates observed, the neutron diffraction patterns contain only a single family of FCC peaks (in addition to the B2/BCC peaks), with a room temperature lattice parameter a=3.624±0.003 Å. This structure is similar to the pure Cu (ref. 34), which is FCC, with a=3.615 Å. Furthermore, the intensities of the FCC neutron diffraction peaks are consistent with an FCC phase fraction formed by all (or most) of the Cu in the alloy. Because of the above observations, the Cu-rich regions (large and small) are approximated as the pure Cu, having .
Several types of Cu-rich precipitates have been reported in the AlxCoCrCuFeNi system, including the FCC, BCC, L12 and B2 structures31,33. Thus, the present approximation may overlook many details of the Cu-segregation behaviour, which is obviously quite complex. Regardless of the details, however, it may be inferred that the Cu segregates in stages during cooling and serves as an important indicator of the overall temperature dependence of .
APT provides further details of the elemental distributions, allowing individual atoms to be resolved and colour coded according to the elemental type (Fig. 3a). Features, such as the elemental partitioning of the room temperature B2 phase and the appearance of Cu-rich precipitates, much smaller than those described above, are shown in a proximity histogram constructed across the B2–FCC interface (Fig. 3b). The Cr-rich precipitates are visible in the atom map (Fig. 3a), consistent with other studies33. In general, the APT studies verify the multi-component nature of the major phases and detect both copper and chromium nanoprecipitates. These detailed results reveal a seemingly complex microstructure, particularly at room temperature. However, the main trends (composition modulations and elemental precipitations within a solid solution) are quite simple.
The above results establish the important details of the room temperature microstructure and the phase compositions (Table 1). The crucial information about the site ordering, and the structural evolution with respect to temperature, is obtained through the additional experimental and theoretical analyses, described below.
Complementary neutron and X-ray scattering studies
We were unable to directly solve the atomic distributions by performing diffraction experiments and applying Rietveld refinements35. There are too many fitting parameters, without a strong refinement convergence. However, here we show that the problem may be reduced to that of refining a single ‘contrast’ parameter (see Methods), which is directly related to the intensity ratio of the superstructure and fundamental reflections. These intensity ratios are generally different for X-rays versus neutrons. Thus, the two experimental techniques provide complementary information. Ultimately, the actual elemental distributions may be inferred from the integrated analyses of the contrast parameters and the microscopy results, described above.
Several neutron and synchrotron X-ray diffraction scans were collected in the temperature range of 20 to 800 °C, which are of great interest, because the spinodal transformation possibly occurs31 near 600 °C. The spinodal microstructure produces overlapping BCC and B2 Bragg reflections, particularly those marked by the solid squares in Fig. 4a, which are common to both the BCC and B2 structures (that is, the fundamental peaks). Peaks marked by the open squares are exclusive to the B2 structure (that is, the superstructure peaks). The Cu-rich interdendritic regions and rods produce the FCC peaks, marked by the solid triangles, which coexist with the BCC/B2 peaks throughout the present temperature range (Fig. 4a–c).
As the alloy is heated to 800 °C, the main features of the diffraction patterns persist, including the synchrotron X-ray (Fig. 4b) and neutron (Fig. 4c) superstructure reflections. The ratios of the BCC/B2 (1 0 0) superstructure and the BCC/B2 (1 1 0) fundamental integrated peak intensities (Iratio) were examined using both synchrotron X-ray and neutron diffraction (Fig. 4d). The difference between the X-ray and the neutron Iratio values arises from their different scattering behaviours (Fig. 4e).
Several atomic distribution models were constructed and compared against the observed Iratio values. The best match to the room temperature data is a distribution in which the Al atoms preferentially occupy the α sublattice (ηAl=0.73), the Fe atoms weakly prefer the α sublattice (ηFe=0.24) and the Ni and Co atoms preferentially occupy the β sublattice (ηCo,Ni=−0.60). No significant amounts of Cr or Cu are present in the spinodal B2 phase. The present order parameters satisfy the constraint that both sublattices have an equal number of atoms (equation 13) and give a good empirical fit to the observed data.
The Iratio values (Fig. 4d) increase with temperature, except for the dip around 600 °C, which is most pronounced in the neutron data. The Iratio trend indicates a gradual strengthening of the B2 order, and decrease in the , as the spinodal microstructure is heated. This entropy decrease is thermodynamically favourable only if it produces an offsetting benefit, such as lattice-strain minimization, as may be expected in multi-element spinodal alloys36. The overlapping B2 and BCC peaks in the present diffraction data indicate that close lattice–parameter matching is indeed maintained in the spinodal microstructure, even as the lattice parameters change with temperature (Fig. 4f).
The BCC/B2 phases undergo a smaller thermal expansion than the Cu-rich FCC phases, based on the diffraction peak positions and associated d-spacings. The dashed line (Fig. 4f) represents a linear fit to the BCC/B2 results, from room temperature to 600 °C. Although the slope increases above 600 °C, no discontinuity in the d-spacing trend is observed. This finding is consistent with the expected spinodal transformation, which occurs by a continuous redistribution of elements on the cubic lattice37.
Significant changes in the atomic distributions are expected in the temperature range where the Iratio dip is observed (Fig. 4d), in the neighbourhood of 600 °C, corresponding to a transition from the spinodal BCC/B2 microstructure to a high-temperature B2 matrix. The dip is much more pronounced in the neutron data, indicating that the transition-metal (TM) elements undergo a significant redistribution.
Despite the increased mixing at temperatures above 600 °C, inhomogeneity may persist in the high-temperature ‹B2› matrix, possibly in the form of BCC and B2 domains, as found in the room temperature AlCoCrCuFeNi alloys solidified by rapid quenching33. Thus, the notation ‹B2› is used to emphasize that the space-averaged B2 structure is being reported here. In particular, the ‹B2›-order parameters are ηAl=0.93 and ηTM=−0.29. The negative value of ηTM indicates that the TM elements preferentially occupy the β sublattice. The resulting ‹B2› configurational entropy of mixing, , is considerably greater than that of the spinodal microstructure, where .
High-temperature neutron scattering studies
Neutron scattering on Al1.3CoCrCuFeNi was conducted from ambient temperature to 1,400 °C (Fig. 5a), a liquid state, using aerodynamic levitation and laser heating (Supplementary Fig. 4)38,39. The B2 superstructure reflection persists all the way to 1,150 °C (Fig. 5b). At higher temperatures, the diffraction intensities (superstructure and fundamental reflections) are too weak to analyze the long-range structure. The primary phase is, therefore, identified as a disordered BCC solid solution. However, the solid solution may have local B2 ordering, similar to the AIMD-simulated results for the liquid phase, discussed below.
To understand the local-ordering behaviour, pair distribution function (PDF) analyses of the neutron diffraction data were carried out40,41,42. At room temperature (Fig. 6a), the observed PDF approximately matches the periodic atomic arrangement associated with the present cubic crystal structures (B2, BCC and FCC). Here, the fitting model, implemented using the PDFgui software package43, represents the ideal structure, where the equilibrium position of each atom falls exactly on its assigned lattice site. Comparing with the observed PDF, the greatest mismatch occurs at short distances, less than 10 Å, suggesting the presence of local lattice distortions due to different atomic sizes in the solid solution24. Over long distances, the cumulative effect of the local static distortions is similar to that of thermal displacements, which do not destroy the periodicity of the crystal structure. Thus, the observed PDF matches well with the ideal model (which includes random, thermal displacements) at large distances (Fig. 6a).
At the highest temperature studied, 1,400 °C, the observed PDF peaks diminish at distances beyond r~15 Å, consistent with a liquid phase (Fig. 6b). The observed profile at 1,400 °C shows reasonably good agreement with a model having short- and medium-range order, as recently found in ternary liquid metals containing aluminium44. The local structure of the liquid is similar to that of the solid, which is modelled using a mixture of BCC and FCC unit cell clusters. It is significant to note that the BCC or FCC cell clusters, alone, do not provide a good fit. Only in combination do they provide a reasonable fit, consistent with recent studies of binary liquid alloys containing mixed cluster types45. Interestingly, the mixed clusters in the liquid may be viewed as precursors to the phase segregation in the solid.
The mixed cluster model was implemented in PDFgui using the spherical shape factor option. The cluster diameter was used as a fitting parameter, producing the best fits in the range of 5–20 Å. The BCC and FCC cells are randomly populated by all six elements in the alloy, with lattice parameters of 3.00 and 3.801 Å, respectively. The BCC volume phase fraction of 62% and FCC fraction of 38% yield a calculated density of 6.28 g cm−3.
The present PDF experiments show an interesting connection between the short- and medium-range structures of the liquid and solid phases. Many questions remain, however, about the details of the structural and chemical order. For example, the experimentally observed peak splitting in the liquid is not yet well matched by the models. This challenging problem will likely be the subject of many future studies.
The AIMD simulations can predict the local atomic structure of the liquid and give insight into the solidification behaviour of complex alloys46,47. In the present study, AIMD simulations were run, both with and without constraints from the experimental input. An AIMD ‘snapshot’ of the liquid structure at 1,400 °C is shown in Fig. 6c. The simulated PDF gives a reasonable match with the observed one (Fig. 6d), when constrained to match the density (6.28 g cm−3) obtained from the experimental fit (Fig. 6b). The unconstrained AIMD predicts a higher density, with peaks shifted to smaller pair separations, r. Both the constrained and unconstrained AIMDs, however, predict the same chemical short-range order (CSRO) trends, described below.
The AIMD-simulated PDF may be separated into the partial pair correlation functions (gαβ) for all possible atom pairs (Supplementary Fig. 5). The gαβ values, at 1,400 °C, predict that certain nearest-neighbour pairs (for example, Al-Ni, Cr-Fe and Cu-Cu) occur much more frequently than others (for example, Al-Al and Cr-Ni) and have slightly different separations (Fig. 6e). Similar results are seen at different temperatures47. These CSRO trends in the liquid can be viewed as precursors for nucleating the segregated Al-Ni-enriched, Cr-Fe-enriched and Cu-rich phases (Fig. 2a)48. The predictive nature of AIMD simulations suggests that they can be used to qualitatively guide screening single-phase HEA compositions that should minimize short-range chemical ordering or segregation in the liquid.
The diffusion constants (Supplementary Table 1) were obtained by plotting the mean-square displacement versus time (Fig. 7a) according to the equation:
where Di is the self-diffusion constant of a species, i, and Ri(t) and Ri(0) denote the atomic positions of the species, i, at times t and t=0, respectively. The brackets denote an average over all the same species.
The simulated diffusion constant for Cu is the fastest (Fig. 7b); it is about 60% faster than Co, which has the slowest diffusivity at T=1,400 °C, despite the fact that Cu has the highest atomic weight and similar metallic radius as Cr, Fe, Co and Ni. Similar trends in the diffusion constants was observed at T=1,600 °C (ref. 47). This high diffusion rate for Cu may facilitate its precipitation from the matrix, as observed in the present microscopy studies (Figs 1 and 2).
Combined results revealing structural evolution while cooling
The present Al1.3CoCrCuFeNi alloy is a liquid above 1,315 °C (Supplementary Fig. 6), with CSRO, revealed through both experimental PDF studies and AIMD simulations. These local structures observed in the liquid are preserved in the primary phase of the high-entropy solid solution during the initial solidification and dendritic growth31. It undergoes a series of microstructural changes during further cooling, progressing from a simple high-temperature structure to more complex microstructures at lower temperatures (Table 2).
During the earliest stages of solidification (1,230–1,315 °C), the primary BCC phase is in equilibrium with a Cu-enriched liquid31, and its composition may be written as Al1.3CoCrCu1-zFeNi, where z represents the Cu depletion. The upper bound of the configurational entropy, where , corresponds to z=0 and random mixing. The ‘BCC’ subscript denotes that is per mole of the BCC phase.
Although the temperature dependence of z within the range of 1,230–1,315 °C was not determined, the value approaches z=0.31, based on the volume fraction of Cu-rich interdendrites observed in the room temperature microstructure. The entropy reduction, due only to the Cu depletion, is slight, such that decreases from 1.79R to 1.78R. A greater reduction occurs, however, due to the CSRO, which may originate from the preferred nearest-neighbour pairing in the liquid. Equation (19) was used to calculate the CSRO entropy reduction, corresponding to the case of strongly enhanced Al-TM pairs (ηAl=1, ηTM=−0.28). Thus, the combination of CSRO and Cu depletion gives the lower bound, and the case of random mixing without Cu depletion gives the upper bound of the range, .
In the temperature range of 1,080–1,230 °C (Table 2, row 3), long-range B2 ordering is detected by the presence of superstructure neutron diffraction peaks (Fig. 5b), in addition to the B2/BCC fundamental peaks. No other crystal phases are detected, indicating that the Cu-rich interdendrites have not yet solidified into an FCC structure. Thus, a Cu-rich liquid coexists with a Cu-depleted solid phase, identified as the high-temperature B2 phase. The solid composition is estimated as Al1.3CoCrCu0.7FeNi, such that the amount of Cu absent from the high-temperature solid is sufficient to produce the 5% interdendrite volume fraction observed in the room temperature microstructure (Fig. 1a). The notation B2 is used to emphasize that an average B2 structure has been determined, but the homogeneity of the phase is uncertain, and is the subject of ongoing studies.
On the basis of the neutron superstructure reflections (Fig. 5b), the strength of the B2 long-range ordering increases as the temperature decreases, at least down to 800 °C. The lower limit is calculated using equation (3), with ηAl=0.93, ηTM=−0.26 (from equation 15), and the phase composition, Al1.3CoCrCu0.7FeNi. Finally, the upper limit is taken from the above CSRO calculation, giving a range of per mole of ‹B2› phase in the present temperature range of 1,080–1,230 °C (Table 2, row 3).
In the temperature range of 600–1,080 °C (Table 2, row 4), the existence of the FCC diffraction peaks (Fig. 5a) indicates that a large fraction of the Cu has solidified, with a structure similar to that of pure Cu. Note that the melting point of pure Cu is 1,085 °C. Because the combined volume fraction of the Cu-rich interdendrites and rod-shaped precipitates is about 15% at room temperature, the present FCC diffraction peaks are attributed to the solidification of these two types of structures. In this simplified model (more detailed characterizations of the room temperature phases in the Al-Co-Cr-Cu-Fe-Ni system are found in the literature)33,49, the present B2 phase composition, in the temperature range of 600–1,080 °C, is given by Al1.3CoCrCu0.1FeNi. From equation (3), , for the ordering based on ηAl=0.93 and ηTM=−0.29.
A spinodal structure exists below 600 °C (Table 2, row 5), more complex than the high-temperature structures. Using the elemental analyses obtained from X-ray EDS and APT (Table 1), the spinodal B2 phase composition is Al1.3Co0.79Fe0.51Ni and the spinodal BCC phase composition is Co0.21CrFe0.49. The phase fractions, FBCC and FB2, are 34 and 50%, respectively. The remaining 16% of the alloy volume is the unmixed Cu, in the form of interdendrites, rod-shaped precipitates and nanoparticles. The overall configurational entropy of mixing may be calculated as
where FBCC, FB2 and FB2 represent the volume fractions of the individual phases, identified by the subscripts. As determined by comparing structural models with the diffraction trend shown in Fig. 4d, the ordering of the B2 phase (Al1.3Co0.79Fe0.51Ni) may be characterized by ηAl=0.73, ηCo=ηNi=−0.60 and ηFe=0.24. These order parameters give per mole of spinodal B2 phase, which is actually greater than the ‘disordered’ phase, where . Since the Cu-rich FCC phases give , the overall configurational entropy of mixing, per mole of the alloy, is .
Table 2 summarizes all of the above microstructures, compositions, relative abundances and major features of the atomic distributions.
Alloys containing several elements mixed in near-equimolar ratios, also known as high-entropy alloys, have shown exceptional engineering properties, such as high strengths at elevated temperatures6,8,10, ductility16, toughness18, and resistance to corrosion20, wear21 and fatigue22. These findings have generated great interest, and intense efforts are underway to further develop high-entropy alloys for practical applications. The goal is increasingly focused on obtaining single-phase solid solution microstructures26,27,47,50. However, multiphase microstructures should not be dismissed, not only because they provide valuable test cases for understanding phase separation in high-entropy alloys, but also because many are technologically significant in their own right. For example, high-strength spinodal alloys have recently been developed using four principal elements (Al, Fe, Mn and Ni)36,51, which potentially enhances their . The success of using multiple principal elements in the development of these spinodal alloys is relevant to the high-entropy alloy research community and encouraging because it demonstrates that the strategy of using multiple principal elements is effective for developing a broad range of disordered and partially ordered alloys.
Here the Al1.3CoCrCuFeNi material has served as a test case for studying phase separation and structural evolution, using integrated experimental and theoretical techniques. Experimental studies included high-resolution SEM, TEM and APT, revealing microstructural features across many length scales. The abundances and compositions of the individual phases were determined, using techniques such as X-ray EDS, and these results were integrated into the analyses of synchrotron X-ray and neutron scattering experiments. Ultimately, the main features of the atomic distributions, and their evolution with temperature, were experimentally determined. Theoretical AIMD studies shed further light on the atomic configurations and dynamics, showing, for example, that preferred nearest-neighbour pairing in the liquid may seed the formation of ordered B2 phases in the solid.
The ordering behaviour of Al1.3CoCrCuFeNi was expressed in a quantitative and unambiguous fashion, instead of simply categorizing the phases according to the general structure type, such as B2. This quantitative expression is especially important in multi-element alloys, where there are several non-equivalent ways in which the elements may order to form a given structure type. In contrast to binary alloys, which may be characterized using a single-order parameter, multiple-order parameters may be required to characterize the atomic distributions. Here the complementary neutron and synchrotron X-ray scattering studies played a key role in determining these structural-order parameters, over a wide temperature range (room temperature to 1,400 °C).
AIMD simulations are emerging as a predictive tool for the phase formation from the liquid47 and have served here to identify the local-ordering trends in the liquid, particularly the CSRO, which influence the formation of the solid phases in Al1.3CoCrCuFeNi. Strong evidence of the local structural similarity between the liquid and solid phases has been provided by the present combined AIMD, experimental PDF and complementary temperature-dependent neutron and synchrotron X-ray diffraction studies. However, much work remains in the challenging new area of multi-element liquid alloys and their solidification behaviour.
Intense research efforts are underway to develop high-entropy alloys with exceptional engineering properties. The present work addresses the fundamental need to understand the temperature-dependent elemental distributions in these multi-principal-element alloys. It was demonstrated that a set of complementary experimental and theoretical techniques could be applied to solve even the complex atomic mixing (and unmixing) behaviours of the Al1.3CoCrCuFeNi alloy. The observed phases, including the disordered and partially ordered solid solution structures, were quantitatively described within a unified structural model, going beyond the common practice of discretely categorizing the phases as ordered versus disordered structures. The results suggest that the high-entropy alloy-design strategy (that is, using multiple principal elements) should be considered, not only for the goal of producing single-phase solid solutions, but also for producing more complex multiphase materials with the benefit of the entropy-enhanced stability.
Specimens were fabricated by Sophisticated Alloys (Butler, PA) using a standard arc-melting technique8. The composition of Al1.3CoCrCuFeNi (molar fraction) was selected for the present study, due to its B2-ordering tendencies. Compositional analysis was performed by Sherry Laboratories (Daleville, IN), using a direct-current plasma technique3, and verified that the actual composition was very close to the nominal composition.
Microscopy and atom-probe tomography
High-resolution SEM and TEM were performed at the Oak Ridge National Laboratory (ORNL) Center for Nanophase Materials Sciences (CNMS)52. The focused ion beam lamella preparation for TEM was performed using the standard liftout technique53. The SEM and TEM measurements were combined with the X-ray EDS to measure the elemental distribution, and EBSD to determine the crystal type and orientation of individual phases.
Tomography studies were conducted at the CNMS using a local electrode atom probe (LEAP) with 37% detection efficiency. The LEAP evaporates individual atoms from a needle-shaped specimen, and computational post-processing provides a reconstruction of the atom identity (including the isotope) and location in the specimen. All samples used in the current work were derived from the same bulk ingot. Although only 37% of the evaporated atoms reach the detector and are counted, the detection sensitivity is the same for all elements, and large numbers of atoms are counted54. The present material, for example, has ~80 atoms within a 1-nm3 volume and will yield about 30 counts per nm3. Therefore, the LEAP provides an accurate characterization of the present atomic distributions.
The AIMD simulations were performed at the National Energy Technology Laboratory55 using the plane-wave pseudopotential software, Vienna Ab-Initio Simulation Package (VASP)46,56. Projector-augmented wave potentials57 were used as supplied with VASP. The revised Perdew–Burke–Ernzerhof58 gradient approximation to the exchange-correlation functional was used. All the calculations were carried out in a canonical ensemble, that is, a constant mole, volume and temperature, with the atomic configuration relaxation and temperature controlled by a Nose thermostat59. This arrangement requires the accurate determination of the densities of the liquid and solid. A cubic supercell of 200 atoms that corresponds to the Al1.25CoCrCuFeNi composition was built. The volume of the cell was adjusted so that the pressure is zero to reach equilibrium. The simulations were performed at the Γ point only (that is, the origin of the first Brillion zone), with a time step of 1 fs. The total simulation time is 30 ps. A ‘medium’ precision setting, as described in VASP, was used. The plane-wave cutoff energy was set at 273.2 eV. The electronic energy convergence criterion was set to 1 × 10−4 eV per atom. The AIMD simulations were performed at temperatures of 2,000, 1,800, 1,600 and 1,400 °C in the liquid state. Previously AIMD simulations have been carried out to study the atomic structures of a variety of liquid melts60,61,62,63.
Applying ordering parameters to a multi-component B2-ordered structure
The B2 crystal structure may be treated as two inter-penetrating sublattices, designated by α and β29,32. In the binary B2 alloys, where the chemical formula may be written as AB, the fully ordered condition is where the A atoms reside exclusively on the α sublattice and the B atoms reside on the β sublattice. Varying degrees of ordering may be described using
where η is the order parameter, xAα is the molar fraction of the A atoms on the α sublattice, xAβ is the molar fraction of A atoms on the β sublattice, xBα is the molar fraction of B atoms on the α sublattice and xββ is the molar fraction of B atoms on the β sublattice. The sublattice molar fractions (xAα, xAβ, xBα and xAβ) are related to the overall molar fractions, xA and xB, by
Because the molar fractions cannot be negative, η must be within the range of −1 to 1. However, the range, η=0–1, is sufficient to describe all possible ordering scenarios. Thermodynamic quantities, such as the enthalpy and configuational entropy, may be expressed in terms of xA, xB and η and calculated using the nearest-neighbour approximations29,30. Here a similar approach is used to describe multi-component alloys.
Consider a B2 alloy composed of n different elements, where the overall molar fractions are given by xi, for i=1 to n. Equations (7)–(10), , , may be replaced by
where xiα and xiβ are the molar fractions of the element, i, on the α and β sublattices, respectively, and ηi is the order parameter of the element, i. Because the molar fractions, xiα and xiβ, cannot be negative, all ηi must be within the range of −1 to 1. Furthermore, to ensure the balanced occupation of both sublattices, the ηi must satisfy
Finally, the total order parameter, η, may be defined by
Several different ordering scenarios are possible in the multi-component B2 phases, which may be expressed in terms of the relationships among the order parameters, ηi. In the present Al1.3CoCrCuFeNi alloy, one scenario, which gives good agreement with the experimental data at high temperatures, has the five transition metals (Co, Cr, Cu, Fe and Ni) sharing the same ordering parameter, ηTM, which is related to the Al-ordering parameter, ηAl, by
where xAl is the molar fraction of Al in the B2 phase. The resulting total order parameter, η, reduces to
If the B2 phase has the same composition as the overall alloy, then the maximum value of η is 0.5. In general, the maximum value of η is <1, except for special compositions, such as equimolar concentrations with an even number of elements.
Extending the treatment used for binary alloys29, thermodynamic quantities for multi-component B2 phases may be expressed using the above defined parameters, ηi and xi. The molar configurational entropy of mixing is given by equation (3). Similarly, the mixing enthalpy may be calculated by summing the nearest-neighbour pairs, such that
where Ωij is the binary mixing parameter and the factor of 4 arises from the number of bonds per atom in the B2 structure25.
The case of CSRO in multicomponent solid solutions may be treated using the pair-approximation method, which may be applied to crystal structures with two sublattices64. An essential feature of this method is to determine the molar fractions of first nearest-neighbour atom pairs, Xi/j, for all possible combinations of the elements, i and j, on sublattices α and β, respectively. Because of the CSRO, the values of the Xi/j are expected to fall between those of the randomly mixed and the long-range-ordered cases. Here the Xi/j are calculated based on a mixture of random and ordered domains, where half of the atoms lie in random domains and half in the ordered domains. Similar mixtures of random and ordered domains have been observed in quenched multicomponent alloys33. Following the same approach as in equations (6)–(10), , , , , the Xi/j may be expressed using the order parameters, ηi, such that
Finally, adapting the treatment of Chartrand and Pelton64, equation (1) may be rewritten, for the case of CSRO in a B2 structure, as
Neutron diffraction experiments were performed at the ORNL Spallation Neutron Source (SNS)65 using instruments optimized for studies of local structures (NOMAD, Nanoscale-ordered Materials Diffractometer)40 and long-range crystal ordering (POWGEN)66. The use of both NOMAD and POWGEN was motivated by the expectation that the present HEAs have distinct local features (for example, lattice distortions and local ordering), as well as long-range crystal order. The temperature dependence of these structures was investigated using neutron diffraction. The experiments were conducted over a wide temperature range, from room temperature to 800 °C on POWGEN and up to 1,400 °C on NOMAD, using an aerodynamic levitator (Supplementary Fig. 4a,b)38,39,67. This levitator provides a containerless environment, in which small samples (~2-mm-diameter spheres) are suspended above a conical nozzle with the flowing argon gas and heated with a 250-W CO2 laser operating at a wavelength of 10.6 μm. For the POWGEN experiments, a conventional neutron furnace, with vanadium foil-heating elements, was used. A large sample (a 7-g polycrystalline solid) was chosen, compatible with the neutron-beam size (4 cm high and 1 cm wide).
The complications of solving the multi-element B2 structure were greatly simplified, using a single parameter (δ) to represent the scattering contrast between the two sites in the B2 unit cell and fitting the observed data to the simplified unit cell. Here the two sites in the unit cell are characterized in terms of the average neutron scattering length
where xi is the molar fraction and bi is the neutron scattering length of the ith element. In particular, the neutron scattering lengths of the two sites, α and β, are represented as
respectively. Thus, δ serves as a unitless parameter, which may be incorporated into a Rietveld refinement, and is directly related to the neutron structure factors of the B2 phase
where is the structure factor of the B2 fundamental reflections, that is, those which satisfy the condition that the sum of the Miller indices (h+k+l) is an even number, and is the structure factor of the B2 superstructure reflections, which satisfy the condition that the sum (h+k+l) is an odd number. Thus, the δ parameter is equal to the ratio of the superstructure and fundamental structure factors
The contrast parameter may be explicitly related to the order parameters, according to
where the ηi are the order parameters defined in equation (11). The observed parameter, δobs, may be found by fitting the experimental diffraction data to a B2 crystal model, where the site occupancy is expressed in terms of δ. Thus, in accordance with equations (21) and (22), the occupancy of the site at the origin of the unit cell is given by 1+δ and the occupancy of the site at the centre of the unit cell, (½, ½, ½), is given by 1−δ. Both sites are occupied, nominally, by the same element (here Al is chosen). This unit cell, which is clearly fictitious, reproduces the essential feature of the actual multiple principal element unit cell: a scattering contrast between the α and β lattice sites. The value of δobs is then taken as the value of δ that gives the best fit to the experimental data.
Synchrotron X-ray powder diffraction
High-energy synchrotron X-ray diffraction experiments were conducted at the Argonne National Laboratory, Advanced Photon Source using beamline 6-ID-D68. This beamline provides monochromatic X-ray beams, using a Si (3 3 1) monochromator, in the energy range of 70–130 keV. The present powder diffraction study was conducted using 79.865 keV (0.15524 Å) X-rays, with a beam size of 1-mm2 cross section.
The Al1.3CoCrCuFeNi samples were ground into fine powders (<20-μm particle size) and placed in unsealed quartz capillary tubes, compatible with the high-temperature furnace provided by the beamline. The small particle size is necessary for obtaining a powder-average diffraction pattern with the small beam. Note that neutron experiments, described above, were performed with larger beam sizes, using solid, polycrystalline samples. The X-ray powder samples were heated from room temperature to 800 °C, in regular increments, to obtain the series of diffraction patterns shown in Fig. 4b.
How to cite this article: Santodonato, L. J. et al. Deviation from high-entropy configurations in the atomic distributions of a multi-principal-element alloy. Nat. Commun. 6:5964 doi: 10.1038/ncomms6964 (2015).
Bragg, W. L. & Williams, E. J. The effect of thermal agitation on atomic arrangement in alloys. Proc. R. Soc. Lond. A 145, 699–730 (1934).
Liu, C. T. & Stiegler, J. O. Ductile ordered intermetallic alloys. Science 226, 636–642 (1984).
Fleischer, R. L., Dimiduk, D. M. & Lipsitt, H. A. Intermetallic compounds for strong high-temperature materials: status and potential. Annu. Rev. Mater. Sci. 19, 231–263 (1989).
Morris, D. G., Muñoz-Morris, M. A. & Chao, J. Development of high strength, high ductility and high creep resistant iron aluminide. Intermetallics 12, 821–826 (2004).
Yeh, J. W. Recent progress in high-entropy alloys. Ann. Chim. Sci. Mat. 31, 633–648 (2006).
Yeh, J. W. et al. Nanostructured high-entropy alloys with multiple principal elements: Novel alloy design concepts and outcomes. Adv. Eng. Mater. 6, 299–303 (2004).
Zhang, Y. et al. Microstructures and properties of high-entropy alloys. Prog. Mater. Sci. 61, 1–93 (2013).
Zhang, Y., Yang, X. & Liaw, P. K. Alloy design and properties optimization of high-entropy alloys. JOM 64, 830–838 (2012).
Pike, L. M., Anderson, I. M., Liu, C. T. & Chang, Y. A. Site occupancies, point defect concentrations, and solid solution hardening in B2 (Ni,Fe)Al. Acta Mater. 50, 3859–3879 (2002).
Senkov, O. N., Scott, J. M., Senkova, S. V., Miracle, D. B. & Woodward, C. F. Microstructure and room temperature properties of a high-entropy TaNbHfZrTi alloy. J. Alloy. Compd. 509, 6043–6048 (2011).
Tang, Z. et al. Aluminum alloying effects on lattice types, microstructures, and mechanical behavior of high-entropy alloy systems. JOM 65, 1848–1858 (2013).
Zuo, T. T., Ren, S. B., Liaw, P. K. & Zhang, Y. Processing effects on the magnetic and mechanical properties of FeCoNiAl0.2Si0.2 high entropy alloy. Int. J. Miner. Metall. Mater. 20, 549–555 (2013).
Yang, X., Zhang, Y. & Liaw, P. K. inIUMRS International Conference in Asia 2011, Procedia Engineering Vol. 36 (eds Wang C. M., Peng C. J. 292–298Elsevier Science BV (2012).
Senkov, O. N., Wilks, G. B., Miracle, D. B., Chuang, C. P. & Liaw, P. K. Refractory high-entropy alloys. Intermetallics 18, 1758–1765 (2010).
Antonaglia, J. et al. Temperature effects on deformation and serration behavior of high-entropy alloys (HEAs). JOM 66, 2002–2008 (2014).
Zhang, Y., Zuo, T., Cheng, Y. & Liaw, P. K. High-entropy alloys with high saturation magnetization, electrical resistivity, and malleability. Sci. Rep. 3, 1455 (2013).
Laktionova, M. A., Tabchnikova, E. D., Tang, Z. & Liaw, P. K. Mechanical properties of the high-entropy alloy Ag0.5CoCrCuFeNi at temperatures of 4.2-300K. Low Temp. Phys. 39, 630–632 (2013).
Gludovatz, B. et al. A fracture-resistant high-entropy alloy for cryogenic applications. Science 345, 1153–1158 (2014).
Tang, Z., Huang, L., He, W. & Liaw, P. Alloying and processing effects on the aqueous corrosion behavior of high-entropy alloys. Entropy 16, 895–911 (2014).
Lee, C. P., Chen, Y. Y., Hsu, C. Y., Yeh, J. W. & Shih, H. C. Enhancing pitting corrosion resistance of Al(x)CrFe(1.5)MnNi(0.5) high-entropy alloys by anodic treatment in sulfuric acid. Thin Solid Films 517, 1301–1305 (2008).
Chuang, M. H., Tsai, M. H., Wang, W. R., Lin, S. J. & Yeh, J. W. Microstructure and wear behavior of Al(x)Co(1.5)CrFeNi(1.5)Ti(y) high-entropy alloys. Acta Mater. 59, 6308–6317 (2011).
Hemphill, M. A. et al. Fatigue behavior of Al0.5CoCrCuFeNi high entropy alloys. Acta Mater. 60, 5723–5734 (2012).
Zhang, Y., Zhou, Y. J., Lin, J. P., Chen, G. L. & Liaw, P. K. Solid-solution phase formation rules for multi-component alloys. Adv. Eng. Mater. 10, 534–538 (2008).
Guo, W. et al. Local atomic structure of a high-entropy alloy: an X-ray and neutron scattering study. Metall. Mater. Trans. A 44, 1994–1997 (2013).
Porter, D., Easterling, K. & Sherif, M. Phase Transformations in Metals and Alloys 3rd edn 13, 34, 302–309, 358CRC Press (2009).
Guo, S. & Liu, C. T. Phase selection rules for complex multi-component alloys with equiatomic or close-to-equiatomic compositions. Chin. J. Nat. 35, 85–96 (2013).
Otto, F., Yang, Y., Bei, H. & George, E. P. Relative effects of enthalpy and entropy on the phase stability of equiatomic high-entropy alloys. Acta Mater. 61, 2628–2638 (2013).
Fultz, B. Vibrational thermodynamics of materials. Prog. Mater. Sci. 55, 247–352 (2010).
Ikeda, T., Numakura, H. & Koiwa, M. A Bragg–Williams model for the thermodynamic activity and the thermodynamic factor in diffusion for ordered alloys with substitutional defects. Acta Mater. 46, 6605–6613 (1998).
Assadi, H. & Greer, A. L. Site-ordering effects on element partitioning during rapid solidification of alloys. Nature 383, 150–152 (1996).
Tong, C. J. et al. Microstructure characterization of AlxCoCrCuFeNi high-entropy alloy system with multiprincipal elements. Metall. Mater. Trans. A 36, 881–893 (2005).
Miracle, D. B. The physical and mechanical properties of NiAl. Acta Metall. Mater. 41, 649–684 (1993).
Singh, S., Wanderka, N., Murty, B. S., Glatzel, U. & Banhart, J. Decomposition in multi-component AlCoCrCuFeNi high-entropy alloy. Acta Mater. 59, 182–190 (2011).
Straumanis, M. E. & Yu, L. S. Lattice parameters, densities, expansion coefficients and perfection of structure of Cu and of Cu-In α phase. Acta Crystallogr. A25, 676–682 (1969).
Rietveld, H. A profile refinement method for nuclear and magnetic structures. J. Appl. Crystallogr. 2, 65–71 (1969).
Hanna, J. A., Baker, I., Wittman, M. W. & Munroe, P. R. A new high-strength spinodal alloy. J. Mater. Res. 20, 791–795 (2005).
Hillert, M., Cohen, M. & Averbach, B. L. Formation of modulated structures in copper-nickel-iron alloys. Acta Metall. 9, 536–546 (1961).
Weber, J. K. R., Felten, J. J., Cho, B. & Nordine, P. C. Glass fibres of pure and erbium- or neodymium-doped yttria-alumina compositions. Nature 393, 769–771 (1998).
Wall, J. J., Weber, R., Kim, J., Liaw, P. K. & Choo, H. Aerodynamic levitation processing of a Zr-based bulk metallic glass. Mater. Sci. Eng. A 445-446, 219–222 (2007).
Neuefeind, J., Feygenson, M., Carruth, J., Hoffmann, R. & Chipley, K. K. The nanoscale ordered materials diffractometer NOMAD at the Spallation Neutron Source SNS. Nucl. Instrum. Methods B 287, 68–75 (2012).
Proffen, T., Billinge, S. J. L., Egami, T. & Louca, D. Structural analysis of complex materials using the atomic pair distribution function - a practical guide. Z. Kristallogr. 218, 132–143 (2003).
Juhás, P., Cherba, D. M., Duxbury, P. M., Punch, W. F. & Billinge, S. J. L. Ab initio determination of solid-state nanostructure. Nature 440, 655–658 (2006).
Farrow, C. L. et al. PDFfit2 and PDFgui: computer programs for studying nanostructure in crystals. J. Phys. Condens. Matter 19, 335219 (2007).
Roik, O. S., Kazimirov, V. P. & Galushko, S. M. The structure of the liquid Al62Cu25.5TM12.5 (TM=Mn, Ni, Fe) alloys. Phys. Chem. Liq. 51, 21–32 (2013).
Guo, F. et al. Structure of liquid Cu–Sb alloys by ab initio molecular dynamics simulations, high temperature X-ray diffraction, and resistivity. J. Mater. Sci. 48, 4438–4445 (2013).
Kresse, G. & Hafner, J. Ab initio molecular dynamics for liquid metals. Phys. Rev. B 47, 558–561 (1993).
Gao, M. C. & Alman, D. E. Searching for next single-phase high-entropy alloy compositions. Entropy 15, 4504–4519 (2013).
Roik, A. S., Anikeenko, A. V. & Medvedev, N. N. Polytetrahedral order and chemical short-range order in metallic melts. J. Struct. Chem. 54, 332–340 (2013).
Welk, B. A. et al. Nature of the interfaces between the constituent phases in the high entropy alloy CoCrCuFeNiAl. Ultramicroscopy 134, 193–199 (2013).
Lucas, M. S. et al. Absence of long-range chemical ordering in equimolar FeCoCrNi. Appl. Phys. Lett. 100, 2519071–2519074 (2012).
Loudis, J. A. & Baker, I. α- and β-Mn precipitates in the spinodal Fe30Ni20Mn25Al25 alloy. Philos. Mag. 87, 5639–5656 (2007).
Oak Ridge National Laboratory, Center for Nanophase Materials Sciences http://www.cnms.ornl.gov (2014).
Langford, R. M. & Petford-Long, A. K. Preparation of transmission electron microscopy cross-section specimens using focused ion beam milling. J. Vac. Sci. Technol. A Vac. Surf. Films 19, 2186–2193 (2001).
Kelly, T. F. & Miller, M. K. Atom probe tomography. Rev. Sci. Instrum. 78, 031101 (2007).
USDOE. National Energy Technology Laboratory http://www.netl.doe.gov/ (2013).
Kresse, G. & Furthmueller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).
Blochl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953 (1994).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).
Nose, S. A unified formulation of the constant temperature molecular-dynamics methods. J. Chem. Phys. 81, 511–519 (1984).
Alfe, D., Gillan, M. J. & Price, G. D. The melting curve of iron at the pressures of the Earth's core from ab initio calculations. Nature 401, 462–464 (1999).
Sheng, H. W., Luo, W. K., Alamgir, F. M., Bai, J. M. & Ma, E. Atomic packing and short-to-medium-range order in metallic glasses. Nature 439, 419–425 (2006).
Stixrude, L. & Karki, B. Structure and freezing of MgSiO3 liquid in earth's lower mantle. Science 310, 297–299 (2005).
Raty, J.-Y., Schwegler, E. & Bonev, S. A. Electronic and structural transitions in dense liquid sodium. Nature 449, 448–451 (2007).
Chartrand, P. & Pelton, A. The modified quasi-chemical model: Part III. Two sublattices. Metall. Mater. Trans. A 32, 1397–1407 (2001).
The Spallation Neutron Source http://neutrons.ornl.gov (2014).
Huq, A., Hodges, J. P., Gourdon, O. & Heroux, L. Powgen: a third-generation high-resolution high-throughput powder diffraction instrument at the Spallation Neutron Source. Z. Kristallogr. Proc. 1, 127–135 (2011).
Weber, J. K. R. et al. Neutron diffraction from levitated liquids - a technique for measurements under extreme conditions. Phys. Chem. Glasses 46, 487–491 (2005).
APS Beamline 6-ID-D http://www.aps.anl.gov/Sectors/Sector6/6idd/ (2014).
We greatly appreciate the following support: Dr Daniel Miracle, Acting Chief Scientist at the U.S. Air Force Research Laboratory, gave scientific guidance and prevented us from committing the error of confusing mixing enthalpy with the enthalpy of formation. Dr Ashfia Huq, Instrument Scientist at the Oak Ridge National Laboratory (ORNL) Spallation Neutron Source (SNS), provided valuable instruction and guidance in the neutron diffraction data reduction and analyses. Dr Michael K. Miller, of the ORNL Materials Science and Technology Division, conducted APT studies. SNS scientific associates, John Carruth and Luke Heroux, provided expert technical assistance during the neutron experiments. SNS Sample Environment technicians, Bruce Hill and Cory Fletcher, played a major role in the development and set up of the aerodynamic sample levitator. Dr Lawrie Skinner and engineer, Ms Sonia Tumber, of Materials Development, Inc. (MDI), had key roles in the development of the levitator and set up of the neutron experiments. The instruction and guidance for conducting the high-energy synchrotron X-ray diffraction studies was given by Professor Wojciech Dmouski of The University of Tennessee and Dr Douglas Robinson of the Advanced Photon Source, Argonne National Laboratory. Professor Michael Widom at Carnegie Mellon University provided useful discussions on AIMD simulations. Neutron scattering and microscopy experiments were conducted at ORNL, through user programs at the SNS and Center for Nanophase Materials Sciences (CNMS) facilities, respectively, which are sponsored by the Office of Basic Energy Sciences, US Department of Energy under contract DE-AC05-00OR22725 with UT-Battelle, LLC. The synchrotron X-ray diffraction research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under contract no. DE-AC02-06CH11357. The development of the aerodynamic levitator system was supported by DOE grant number DE-SC0004684. The present research was performed in support of the Innovative Processing and Technologies Program of the National Energy Technology Laboratory’s (NETL) Strategic Center for Coal under the Research and Engineering Services (RES) contract DE-FE-0004000. Partial computing support was provided under The Extreme Science and Engineering Discovery Environment (XSEDE) Award No. DMR120048. The National Science Foundation (DMR-0909037, CMMI-0900291 and CMMI-1100080), the Department of Energy (DOE) Office of Nuclear Energy’s Nuclear Energy University Programs (NEUP, grant #00119262) and the DOE Office of Fossil Energy, NETL (DE-FE0008855 and DE-FE-0011194), with Drs C.V. Cooper, A. Ardell, Z.M. Taleff, R.O. Jenseng Jr, L. Tian, V. Cedro, S. Lesica and S. Markovich as program managers, provided additional funding, particularly for P.K.L. (NSF) and the student (Z.T., DOE) at The University of Tennessee. P.K.L. very much appreciates the support from the U.S. Army Office Project (W911NF-13-1-0438) with the program manager, Dr S.N. Mathaudhu. This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness or usefulness of any information, apparatus, product or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process or service by trade name, trademark, manufacturer or otherwise does not necessarily constitute or imply its endorsement, recommendation or favouring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.
The authors declare no competing financial interests.
Supplementary Figures 1-6, Supplementary Table 1, and Supplementary References (PDF 1599 kb)
Rights and permissions
About this article
Cite this article
Santodonato, L., Zhang, Y., Feygenson, M. et al. Deviation from high-entropy configurations in the atomic distributions of a multi-principal-element alloy. Nat Commun 6, 5964 (2015). https://doi.org/10.1038/ncomms6964
This article is cited by
Electronic structures and strengthening mechanisms of superhard high-entropy diborides
Rare Metals (2023)
Effects of Al on Structure Evolution and Mechanical Performance of AlxCrFeNi (x > 1) Eutectic High-Entropy Alloys
Transactions of the Indian Institute of Metals (2023)
Effect of Copper on Mechanical Properties and Corrosion Behavior of Powder Metallurgy Processed Ni–Co–Cr–Fe–Mn–Cux High Entropy Alloy
Arabian Journal for Science and Engineering (2022)
Novel ultra-high aluminum content eutectic high entropy alloys with duplex-reinforced phases and labyrinthine structure
Journal of Materials Science (2022)
Investigation of microstructure, mechanical and corrosion resistance properties of Cu–Al–Zn–Sn high-entropy alloy for kitchen utensils and other industrial applications
Chemical Papers (2022)
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.