Introduction

Multifunctional thermal and environmental barrier coatings (TEBC) are attracting much attention in the gas turbine technology, which are expected to protect the turbine components made of SiCf/SiC ceramic matrix composites (CMCs) from environmental degradation and thermal attack in the high-temperature water-vapor-rich combustion environment, and thus allow for higher inlet temperature, higher core-power, and higher fuel efficiency of turbine engines1. Rare-earth disilicates are among the most promising candidates that have been considered and tested for the TEBC applications2,3. For instance, a highly potential TEBC system is conceptualized in multilayer architectures, wherein the rare-earth disilicates (RE2Si2O7) having matched coefficient of thermal expansion (CTE = (4–5) × 10−6 K−1)4,5 with that of SiCf/SiC CMCs substrates (CTE = (4.5–5.5) × 10−6 K−1)6 are necessarily used as an intermediate layer to buffer the CTE gap between the substrates and the top coats (typically, rare-earth monosilicates RE2SiO5 with CTE = (6–10) × 10−6 K−1)7, for the purpose of minimizing the inter-layer thermal stress and thus prevent coating delamination during thermal cycling8. Nevertheless, most RE2Si2O7 disilicates undergo complex phase transformations (α, β, γ, δ, A, F and G) with the variation of temperatures9, wherein the associated volume change or the CTE mismatch of the product phases will cause catastrophic cleaving or delamination of the coatings; except for RE2Si2O7 (RE = Yb, Lu and Sc), which exhibit good stability of β-type polymorph up to their melting points. Consequently, the list of conventional single-RE-component RE2Si2O7 ceramics suitable for TEBC applications are narrowed down to β-type RE2Si2O7 (RE = Yb, Lu and Sc) compounds, and some co-doped solid solutions containing these RE elements1; yet previous research has shown that their performance under aggressively coupled attacks from hot steam, molten CMAS and thermal stress cannot meet the requirements of advanced TEBC systems10. Therefore, RE2Si2O7 materials with optimized overall performance, including good phase stability, are in high demands.

Very recently, the concept of multicomponent (or high-entropy) modification of RE2Si2O7 candidates brings new opportunities. It enables the search and property-optimization of single-phase multi-RE-principal-component RE2Si2O7 (thereafter denoted as (nRExi)2Si2O7) with high compositional disorder over a massively expanded and unexplored compositional space, beyond the already-known single-RE-principal-component RE2Si2O7 compounds. The concept of multicomponent materials was originally proposed in metallic alloys by Yeh et al. in 200411, then extended into ceramics by Rost et al. in 201512, and has since penetrated to include borides13, carbides14,15,16,17,18, nitrides19, sulfides20, silicides21, and other complex oxides22,23,24,25,26,27. Multicomponent systems tend to have interesting qualities, including high mixing entropy, sluggish diffuson kinetics, severe lattice distortions and the cocktail effect28; which lead to remarkable properties, such as high melting points, superior phase stability, high hardness, amorphous-like thermal conductivity, and excellent wear and corrosion resistance, etc.29. For RE2Si2O7 materials, previous explorations have shown that some rare-earth elements act as the key RE ingredients to improve specific properties, such as the element Ho to the enhanced water-vapor resistance, and Lu to the enhanced CMAS resistance, just to name a few30. Therefore, a promising outcome, which is also the prime goal, of designing (nRExi)2Si2O7 materials lie in the anticipation of synergistic optimization on the structural stability, mechanical, thermal and corrosion-resistant properties, by mix-and-matching the key RE ingredients; and the overall performance of the (nRExi)2Si2O7 materials can further be fine-tuned by elaborately tailoring the compositions. To date, several (nRExi)2Si2O7 solid solutions have been synthesized and examined to show improved high-temperature thermal stability, lower thermal conductivity, excellent CTE match with SiCf/SiC CMC, and enhanced resistance to water-vapor corrosion or CMAS attack, which outperform or at least on a par with the conventional single-RE-principal-component RE2Si2O7 counterparts for TEBC applications31,32,33.

A crucial challenge for the design of (nRExi)2Si2O7 materials is the intricacy to pinpoint whether a given composition could be synthesized into a single phase having a specifically controlled structure, i.e., hopefully the β-type structure showing good high-temperature phase stability and matched CTE with SiCf/SiC CMC. Hitherto, the design of β-type (nRExi)2Si2O7 compounds has been largely led by the rule-of-thumb manner, whereas the fundamental mechanisms governing their phase formation capability remains unveiled. The obstacle mainly comes from the versatile combinations of multiple rare-earth elements, as well as the abundant polymorphic types with low energy barriers upon polymorphic transformation, such as the β-to-γ polymorphic transformation. To address this issue, one could find some inspirations from previous works on multicomponent binary metal oxides, carbides, diborides, etc., which have revealed that the formation and stabilization of these materials might be influenced by various factors, such as the differences in atomic radius, molar content, lattice constants, valence electron concentration of the doping sites; or the doping sequence, the number of formulas in a unit cell, the mixing enthalpy, the configurational entropy, etc.13,25,34,35,36,37,38. These findings cast light on the phase formation and stabilization of multicomponent materials; however, the understandings are derived from materials with relatively simple crystal structures, and thus cannot be directly applied in the (nRExi)2Si2O7 materials showing complex crystal structures and various polymorphic types with low transformation barrier. Therefore, it remains an imperative demand to investigate the mechanisms of phase formation for β-type (nRExi)2Si2O7 materials. Four-RE-principal-component RE2Si2O7 could be used as model materials to represent the (nRExi)2Si2O7 family, as their configurational entropy of mixing are considered high enough to bring substantially tuned mechanical, thermal and corrosion-resistant properties39,40. The mechanisms of phase formation obtained from these model materials can be generalized to guide the compositional design of other (nRExi)2Si2O7 compounds.

In this study, twenty-one four-RE-principal-component (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 (RE = Y, La, Ce, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu) are synthesized, and their phase compositions are examined through X-ray diffraction (XRD) measurements, Rietveld refinement analysis, scanning electron microscope (SEM) observation as well as transmission electron microscope (TEM) characterizations. The phase formation capability is investigated, and its dependencies with respect to the average RE3+ radius (\(\bar{r}\)) and the deviations (σr) of different RE3+ combinations are analyzed. Subsequently, the distribution of mixing energy for four prototype compositions is calculated via high-throughput density functional theory (DFT) calculations, by constructing ensembles that contain several hundreds of representative configurations. The configurational entropy of mixing is calculated, which leads to a descriptor that could describe whether a given composition can form β-type structure with homogeneous RE elemental distributions, and simultaneously captures whether the configurational entropy of mixing has a positive or negative contribution to the β → γ polymorphic transformation. Finally, the strategies to design (nRExi)2Si2O7 materials with controlled phase formation capability and high-temperature stability are discussed.

Results

Phase formation of (REI 0.25REII 0.25REIII 0.25REIV 0.25)2Si2O7

Twenty-one four-RE-principal-component RE2Si2O7 samples are synthesized according to the stoichiometry of (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 (RE = Y, La, Ce, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu). As inferred from the phase diagram of single-RE-principal-component RE2Si2O79, Yb3+ or Lu3+ seem to be necessary ingredients to drive the formation of β-type polymorphic structure. And hence, the different multi-RE3+ combinations are designed to include either Yb3+ or Lu3+, or both; while the other RE3+ species, which do not exhibit β-type single-RE-principal-component RE2Si2O7 per se, are sampled across the lanthanides and yttrium. In this way, we might be able to pinpoint the extent to which the randomness/disorder brought by the “alien” RE elements can be tolerated in the β-type lattice, while maintaining systematic discrepancy in the average RE3+ cationic radius as well as their deviations. The rationale of designing these compositions is extensively explained in the Supplementary Note 1.

The XRD patterns for all the prepared samples are presented in Fig. 1 and Supplementary Figs. 14, which are collected after phase formation at relatively lower temperature (i.e., 1550 °C) followed by sufficient polymorphic transformation at elevated temperature (i.e., above 1800 °C). SEM energy dispersive spectrometer (EDS) point analysis are performed on the hot-pressed bulk samples to quantitatively illustrate the distribution of RE elements, and results are presented in Table 1. Interestingly, the twenty-one compositions could be divided into three categories, based on their finally stabilized polymorphic types at the highest synthesis temperature: (I) single-phase β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution (Fig. 1a and Supplementary Fig. 1); (II) single-phase γ-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution (Fig. 1b, c and Supplementary Figs. 2, 3); (III) the designed composition cannot form any polymorphic type of (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution (Fig. 1d and Supplementary Fig. 4).

Fig. 1: XRD patterns of the synthesized samples.
figure 1

Results for the composition of a (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7, b (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7, c (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7, and d (Lax1Cex2Ybx3Lux4)2Si2O7 (x1 + x2 + x3 + x4 = 1) samples prepared at 1550, 1650, or 1860 °C. “HP” denotes the XRD patterns for bulk samples fabricated via hot-pressing sintering method.

Table 1 The atomic percentage of RE elements (%) in different samples

As shown in Fig. 1a, all the detected peaks for (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7 samples could be indexed to β-Yb2Si2O7 (PDF#25-1345). The homogeneous distribution of the RE elements is further confirmed by the SEM-EDS analysis, wherein the atomic ratios of Dy:Tm:Yb:Lu are measured to be nearly 1:1:1:1. These observations illustrate that both the as-synthesized powders and the corresponding hot-pressed bulk material are pure single-phase β-(Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7 solid solutions.

For the composition of (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 (Fig. 1b), the powders synthesized at 1550 °C contain dual-phase mixture of β-type solid solution as major phase, together with a decent amount of γ-type solid solution (indexed to γ-Y2Si2O7, PDF#42-0167). Quantitative phase analysis based on the Rietveld method (Fig. 2a) shows that, the β-phase accounts for 61.15 wt% in the mixture, whereas the γ-phase accounts for 38.85 wt%. Fabricating the sample via hot-pressing sintering method at 1650 °C results in decreased amount of β-phase down to 33.16 wt%, compensated by increased amount of γ-phase up to 66.84 wt% (Fig. 2b). After hot-pressed at 1860 °C for 2 h, the bulk material turns into a single-phase γ-type solid solution. According to the SEM-EDS results (Table 1), both β-phase and γ-phase in the 1650 °C hot-pressed bulk samples exhibit homogeneous RE elemental distributions, i.e., the atomic ratios of Dy:Ho:Yb:Lu are approximately 1:1:1:1. In addition, aberration-corrected scanning transmission electron microscopy (STEM) observations are performed on the 1650 °C hot-pressed (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 bulk sample (Fig. 3a–h), which enables the characterization of phase constitution and RE elemental distribution at the atomic scale. Figure 3a, b presents the bright-field image and STEM high-angle annular dark-field (HAADF) image of a chosen area in the sample (marked as “phase 1” in Fig. 3a). Figure 3c is the fast Fourier transform (FFT) patten of Fig. 3b, which is resolved to be β-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 phase, taken in the [\(\bar{1}\)12] zone axis. Figure 3e–g present the results of another chosen area in the sample (marked as “phase 2” in Fig. 3e). Figure 3g is the FFT patten of phase 2 in Fig. 3f, which is resolved to be γ-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 phase, taken in the [100] zone axis. Figure 3d, h present the selected compositional maps from EDS, respectively for β- and γ-phases, which directly visualizes the compositional homogeneity of RE elements (Dy, Ho, Yb and Lu) on the lattices of both β-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 and γ-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 phases. And, Supplementary Table 1 presents the atomic ratios of RE elements analyzed based on the TEM-EDS mapping results, which confirms the Dy:Ho:Yb:Lu being approximately 1:1:1:1.

Fig. 2: Rietveld refinement of room-temperature XRD patterns for the studied materials.
figure 2

a Results for the as-synthesized powders of (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 prepared at 1550 °C. b Results for the bulk sample of (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 fabricated via hot-pressing sintering method at 1650 °C. c Results for the as-synthesized powders of (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 prepared at 1550 °C. d Results for the as-synthesized powders of (Lax1Cex2Ybx3Lux4)2Si2O7 prepared at 1550 °C. e Results for the bulk sample of (Lax1Cex2Ybx3Lux4)2Si2O7 fabricated via hot-pressing sintering method at 1650 °C. The reliability factors Rp and Rwp are also presented in the figures. The short vertical lines in dark cyan, magenta and dark yellow color at the bottom of each panel denote the positions of XRD peaks of β-RE2Si2O7, γ-RE2Si2O7, and G-RE2Si2O7, respectively.

Fig. 3: TEM characterization results of (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 and (Lax1Cex2Ybx3Lux4)2Si2O7 bulk samples.
figure 3

a, e The bright-field images of phase 1 and phase 2 in (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 sample. b, f The Scanning transmission electron microscopic high-angle annular dark-field (HAADF-STEM) images of phase 1 and phase 2 in (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7. c, g The Fast Fourier transform (FFT) of the HAADF-STEM images of (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 in b and f, taken in the [\(\bar{1}\)12] zone axis and [100] zone axis, respectively. d, h The corresponding atomic-resolution EDS elemental maps for Dy, Ho, Yb and Lu of β-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 and γ-(Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7. i, m The bright-field images of phase 1 and phase 2 in (Lax1Cex2Ybx3Lux4)2Si2O7 sample. j, n The HAADF-STEM images of phase 1 and phase 2 in (Lax1Cex2Ybx3Lux4)2Si2O7. k, o The Fast Fourier transform (FFT) of the HAADF-STEM images of (Lax1Cex2Ybx3Lux4)2Si2O7 in j, n, taken in the [\(\bar{1}\bar{1}\)2] zone axis and [100] zone axis, respectively. l, p The corresponding atomic-resolution EDS elemental maps for La, Ce, Yb and Lu of β-(Lax1Cex2Ybx3Lux4)2Si2O7 and G-(Lax1Cex2Ybx3Lux4)2Si2O7. The blue circles in a, e, i, and m locate the observed grains in (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 and (Lax1Cex2Ybx3Lux4)2Si2O7 samples that correspond to different phases (marked as “Phase 1” or “Phase 2”). The cyan circles and numbers in c, g, k, and o denote the Miller indices of corresponding patterns.

For the composition of (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7, Fig. 1c shows that the as-synthesized powders exhibit γ-(Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 solid solution with very few β-(Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7; wherein the homogeneous distribution of RE elements, i.e., Gd:Ho:Yb:Lu being nearly 1:1:1:1, is confirmed by the SEM-EDS results (Table 1). Quantitative phase analysis (Fig. 2c) shows that the γ-phase accounts for 91.21 wt% in the mixture, whereas the β-phase accounts for 8.79 wt%. And, the small amount of β-phase is completely eliminated after hot-pressed at 1860 °C, due to the β → γ polymorphic transformation.

For the composition of (Lax1Cex2Ybx3Lux4)2Si2O7 (x1 + x2 + x3 + x4 = 1), XRD results (Fig. 1d) shows that, both the as-synthesized powders and the hot-pressed bulk material are mixtures of β-type and G-type (indexed to G-Ce2Si2O7, PDF#48-0058) disilicates. Quantitative phase analysis (Fig. 2d, e) further reveals that the as-synthesized powders contain G-phase in 72.60 wt% and β-phase in 27.40 wt%, respectively; and, the phase composition remains almost unchanged after hot-pressed at 1650 °C for 2 h (G-phase in 72.15 wt% and β-phase in 27.85 wt%). This means that no phase transition reaction between β-type and G-type happens when we increase the sintering temperature or pressure, indicating the good phase stability of the mixture. SEM-EDS analysis (Table 1) shows obvious elemental segregation in both phases, i.e., the β-phase is enriched with Yb and Lu elements, whereas the G-phase is enriched with La and Ce elements. That is to say, it is easier to dope Yb and Lu (with smaller RE3+ radius) elements into the G-phase (La2Si2O7- or Ce2Si2O7-dominated); whereas highly difficult to dope La and Ce (with larger RE3+ radius) elements into the β-phase (Yb2Si2O7- or Lu2Si2O7-dominated). This could be understood from the perspective of atomic packing. When larger RE3+ cations are doped into a solvent dominated by smaller RE3+ cations, there is less room in the solvent polymorphic lattice to incorporate the larger solute polymorphic lattice, resulting in lower solubility; which is just the opposite if the doping sequence is reversed. In order to characterize the atomic distribution of RE elements in β-type and G-type (Lax1Cex2Ybx3Lux4)2Si2O7, STEM observations are performed on the 1650 °C hot-pressed bulk sample. Figure 3i, m are the bright-field images of two different areas in the (Lax1Cex2Ybx3Lux4)2Si2O7 sample, which are marked as “phase 1” and “phase 2” respectively. Figure 3j, n show the HAADF-STEM images of the two phases; and the corresponding FFT patterns in Fig. 3k, o are resolved to be β-(Lax1Cex2Ybx3Lux4)2Si2O7 phase taken in the [\(\bar{1}\bar{1}\)2] zone axis, as well as G-(Lax1Cex2Ybx3Lux4)2Si2O7 phase taken in the [100] zone axis, respectively. In addition, the selected atomic-resolution EDS elemental maps in Fig. 3l, p confirm the compositional uniformity of La, Ce, Yb and Lu elements in both β-(Lax1Cex2Ybx3Lux4)2Si2O7 and G-(Lax1Cex2Ybx3Lux4)2Si2O7 lattices, despite their non-stoichiometric distributions in different phases. The non-stoichiometric RE distributions could also be analyzed from the TEM-EDS mapping results, which are summarized in the Supplementary Table 1.

Analysis on the average RE3+ cationic radius and the deviation

Based on the above results, it would be interesting to summarize how the finally stabilized polymorphic types of the (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 compositions, after phase formation and the possible phase transformation at sufficiently high temperatures, depend on the average RE3+ cationic radius (\(\bar{r}\)) as well as the deviation (σr) of multiple RE elements. The statistics are summarized in Fig. 4a. Herein, the parameters \(\bar{r}\) and σr are calculated as the average and standard deviation of the radius for each RE3+ cation, respectively, weighted by the molar fraction of the RE3+ cations in the target composition. Several interesting features are worth of noticing as follow.

Fig. 4: The average RE3+ radius (\(\bar{r}\)) and the deviations (σr) for (nRExi)2Si2O7 compounds.
figure 4

a The \(\bar{r}\) versus σr diagram for (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 compositions. The crosses represent the calculated \(\bar{r}\) and σr parameters for all the possible REI0.25REII0.25REIII0.25REIV0.25 combinations, wherein RE elements varies from the lanthanides (La~Lu) and Y elements. b The \(\bar{r}\) versus σr diagram for some equimolar or non-equimolar (nRExi)2Si2O7 (n = 2, 5 and 6; 0 ≤ xi ≤ 1) materials, according to the works of ref. 31, 41,42,43,44,45,46,47. The red hexagon mark and the orange star represent the data for (Yb0.2Y0.2Lu0.2Sc0.2Gd0.2)2Si2O7 and (Gd1/6Tb1/6Dy1/6Tm1/6Yb1/6Lu1/6)2Si2O7 compounds, respectively; and “2-RE”, “5-RE” and “6-RE” represent the two-, five- and six-RE-principal-component disilicates. The β-γ boundary at \(\bar{r}\)~0.885 Å is marked in dash lines for emphasis.

Firstly, the β-phase-dominated zone rests in the far left of the Fig. 4a, corresponding to small \(\bar{r}\) values; and as the \(\bar{r}\) values increase, the γ-phase-dominated zone starts to take over. The potential boundary between the β- and γ-phase-dominated zone is estimated to be around \(\bar{r}\)~0.885 Å, which indicates that in order to design β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7, the \(\bar{r}\) parameter of the multi-RE3+ combination should be kept below 0.885 Å. Interestingly, this value coincides with our analysis on many other (nRExi)2Si2O7 systems (Fig. 4b), including two-RE-principal-component disilicates, i.e., (YxYb1−x)2Si2O741, (YxLu1−x)2Si2O742,43, (YbxHo1−x)2Si2O744, (YxSc1−x)2Si2O745, and (LuxSc1−x)2Si2O7 (0 ≤ x ≤ 1)46 solid solutions; as well as five- and six-RE-principal-component disilicates, i.e., (Yb0.2Y0.2Lu0.2Sc0.2Gd0.2)2Si2O747 and (Gd1/6Tb1/6Dy1/6Tm1/6Yb1/6Lu1/6)2Si2O731 solid solutions. Detailed analysis on these compounds is presented in the Supplementary Note 2. Therefore, the \(\bar{r}\)~0.885 Å criterion, although herein extracted from the equimolar four-RE-principal-component (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 systems, may also applies to other equimolar or non-equimolar (nRExi)2Si2O7 (n denotes the total number of RE components, xi denotes the molar fraction of the ith RE species, and \(\mathop{\sum }\nolimits_{i=1}^{n}{x}_{i}=1\)) systems. And, the fact that the \(\bar{r}\)~0.885 Å criterion is applicable to multi-RE3+ combinations including Sc3+, which has considerably smaller cationic radius (0.745 Å) as compared with the other RE3+ cations (ranging systematically from 0.861 to 1.032 Å for RE = lanthanides and yttrium), further verifies the good generality of this criterion.

Secondly, as indicated from Fig. 4a, the single-phase (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 compounds could be formed only if the σr values are sufficiently small; while larger σr values will result in elemental segregation and phase separation, such as σr = 0.079 for (Lax1Cex2Ybx3Lux4)2Si2O7 and σr = 0.034 for (Eux1Tmx2Ybx3Lux4)2Si2O7 (x1 + x2 + x3 + x4 = 1) systems. In fact, when multiple RE elements, which do not exhibit a certain polymorph of single-RE-principal-component RE2Si2O7 per se, are hosted into the target lattice, the so-called “imperfect isomorphism” will take place9. Hosting RE elements other than Yb and Lu into the β-type lattice is a good example of this situation. As such, the size mismatch and chemical difference amongst multiple RE3+ cations are expected to introduce extensive perturbations into the lattice, causing different phases to compete against each other during the formation of solid solutions. Small difference amongst multiple RE3+ cations could be tolerated in the lattice, and thus form single-phase multicomponent solid solution in a thermodynamically favored polymorphic type; whereas too large of the difference will cause elemental segregation and phase separation. Moreover, in order to approach the potential upper-limit of σr for β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7, we calculate the \(\bar{r}\) and σr parameters for all the possible REI0.25REII0.25REIII0.25REIV0.25 combinations (i.e., in equimolar), wherein RE elements varies from the lanthanides and yttrium. The data are presented by cross-marks in the Fig. 4a. Particularly, for all the equimolar REI0.25REII0.25REIII0.25REIV0.25 combinations falling in the β-phase-dominated zone, as bounded by the \(\bar{r} \) < 0.885 criterion discussed above, their σr parameters are not high enough to reach the potential upper-limits; herein, the highest σr value corresponds to our synthesized β-(Tb0.25Tm0.25Yb0.25Lu0.25)2Si2O7 (σr = 0.024). This means that, pinpointing the potential upper-limit of σr parameter for β-type four-RE-principal-component RE2Si2O7 materials requires extending the compositional design into the non-equimolar cases.

Additional attention should be paid for the compositions lying in the vicinity of the β-γ boundary, such as \(\bar{r}\,\) = 0.886 Å and σr = 0.016 for (Y0.25Ho0.25Tm0.25Lu0.25)2Si2O7, and \(\bar{r}\,\) = 0.886 Å and σr = 0.024 for (Tb0.25Er0.25Yb0.25Lu0.25)2Si2O7. The trend of phase formation and transformation for these two compositions could be described as the formation of β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution followed by the occurrence of β → γ polymorphic transformation, only that the β → γ polymorphic transformation is quite sluggish. And therefore, higher reaction temperature, higher reaction pressure or longer holding time is needed to accelerate the β → γ transformation and ensure the stabilization of single-phase γ-type solid solutions for these compositions. Detailed discussions are presented in the Supplementary Note 3 and Supplementary Fig. 5.

The configurational entropy of mixing

As indicated in the above results, the phase formation capability of β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 is closely related to the size or chemical mismatch of the multi-RE3+ combinations; and this could be translated into the level of randomness/disorders that the multicomponent system can tolerates, which echoes the concept of configurational entropy of mixing. In this section, we will probe into this issue from the perspective of thermodynamics.

The configuration ensembles of four prototype compositions are constructed, i.e., (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7, (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7, (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7, and (La0.25Ce0.25Yb0.25Lu0.25)2Si2O7, and each includes hundreds of possible stochastically generated configurations, as illustrated in the Supplementary Fig. 6. Mind that there might be low energy barrier for β → γ polymorphic transformation, as suggested by their similarities in crystal structures and a collection of macroscopic properties; and therefore, both β-type and γ-type polymorphic ensembles are constructed. For each ensemble, the mixing energy (Ei) for all configurations is calculated under the zero-temperature ground states, and their distributions are presented in Fig. 5a. In order to quantitatively analyze the features of the energy spread, the Ei distribution curves are fitted into the Gaussian function: \(f\left(x\right)=a\cdot {{{{{\rm{exp }}}}}}\left(-\frac{{\left(x-b\right)}^{2}}{{c}^{2}}\right)\), wherein a determines the height of the peak of the distribution curve; b represents the position of the center of the peak; and c controls the width of the bell-shaped distribution curve, which is related to the full width at half maximum (FWHM) of the peak according to FWHM = \(c\cdot 2\sqrt{{{{{{\rm{ln}}}}}}2}\). In this scheme, the FWHM measures the dispersity of Ei for all the microstates in the ensemble, and, therefore, can be used to depict the formation capability a multicomponent material. That is, a smaller FWHM (narrower Ei distribution spectrum) indicates lower energy barrier for the ergodicity of metastable configurations, and thus promotes high configurational randomness into the multicomponent system; whereas a larger FWHM (wider Ei distribution spectrum) indicates higher energy cost to access different configurations, and thus prefers elemental segregation or phase separation.

Fig. 5: Statistical parameters for the Gaussian-fitted mixing energy (Ei) distribution spectrum for β-type and γ-type ensembles.
figure 5

a The distribution of mixing energy (Ei) for all the studied ensembles. The scatters are the normalized density for Ei analyzed by breaking the entire range of Ei values into small intervals ΔE, and then adding up the number of Ei that falls with each interval; herein, \(\triangle E=\frac{5}{{N}^{'}}\left({E}_{{{{{{\rm{max }}}}}}}-{E}_{{{{{{\rm{min }}}}}}}\right)\) is used, and N′ is the total number of the sampled microstates in an ensemble. The solid lines are the Gaussian fitting of the Ei distribution spectrum. b The full width at half maximum (FWHM) of the Gaussian-fitted Ei distribution spectrum. c The standard deviation of mixing energy (σE) for all the configurations in each ensemble.

The FWHM parameter for each ensemble is analyzed in Fig. 5b. It is shown that the hypothetically constructed β-type and γ-type (La0.25Ce0.25Yb0.25Lu0.25)2Si2O7 ensembles have notably wider Ei distribution curve than the other ensembles, and the FWHM values are overwhelmingly higher than those of others, indicative of the least possibility to form homogeneous (La0.25Ce0.25Yb0.25Lu0.25)2Si2O7 solid solutions. In comparison, both β-type and γ-type polymorphic ensembles of the (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7, (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7, and (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 compositions show smaller FWHM values, ranging from 0.36121 to 1.23961 (Table 2), indicative of their relatively higher tendency of being formed. In fact, the FWHM parameter of the Ei distribution curve is in close relation with the standard deviation of mixing energy (σE), which has been proposed as a descriptor of entropy in Sarker et al.’s work14. Herein, the σE values of each ensemble are also calculated and plotted in Fig. 5c, which shows similar trends as the FWHM parameter. Meanwhile, we find a positive correlation between the FWHM and σr parameters, i.e., the smaller σr, the smaller FWHM (results are presented in Table 2) and the Pearson correlation coefficient (ρ) between the two parameters is calculated to be 99.54% for the β-type ensembles and 99.45% for the γ-type ensembles. This could be reasonably understood that large mismatch in the RE3+ cationic radius (stemming from the discrepancies in RE3+ electronic configurations) might increase the misfit of strain field for each RE3+ sublattice, and therefore significantly raise the energy fluctuations among the metastable configurations in the ensemble, making it energetically unfavorable to accommodate disorders into the designed polymorphic structures. And, it well explains why the formation of (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 compounds with homogeneous RE elemental distribution requires the σr parameter to be sufficiently small.

Table 2 The FWHM and σr parameters for the studied ensembles

In addition, by processing the Ei distribution profiles, the configurational entropy of mixing (Sconfig) for each ensemble is calculated as a function of thermal-energy excitation (quantified by kBT, and kB is the Boltzmann constant), which can be equated with the thermodynamic temperature (T) on the physical basis. Fundamentally, the Sconfig~kBT (or Sconfig~T) curve measures the number of microstates that a system may assume at a given amount of thermal-energy excitation beyond the ground state. As shown in Fig. 6, the Sconfig of (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7, (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7, and (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 systems converge to 18.70 J·mol−1·K−1. This is 18.8% lower than the ideal value of \({S}_{{{{{{\rm{config}}}}}}}^{{{{{{\rm{\infty }}}}}}}\) = 23.04 J·mol−1·K−1, which is estimated from ideal (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution system, i.e., perfectly disordered crystalline with infinitely large lattice and totally random occupations on the doping sites. This deviation is probably due to the under-sampling of the configurational landscape prohibited by the size of the supercells used for simulation. Detailed explanation on the \({S}_{{{{{{\rm{config}}}}}}}^{{{{{{\rm{\infty }}}}}}}\) parameter is presented in the Supplementary Note 4. Therefore, if considered from the perspective of statistical mechanics and given sufficient thermal-energy excitations, the solid solutions of (Dy0.25Tm0.25Yb0.25Lu0.25)2Si2O7, (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 and (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 could be formed. By contrast, the Sconfig of (La0.25Ce0.25Yb0.25Lu0.25)2Si2O7 system is far from approaching the convergence at physically realizable temperatures, which means that it is highly impossible to form (La0.25Ce0.25Yb0.25Lu0.25)2Si2O7 solid solution with homogeneous RE distribution. What worthy of noticing is that, under the framework of statistical mechanics, the thermodynamic temperature “T” characterizes the thermal motion of molecules upon thermal excitation, and it is herein incorporated in the Sconfig~kBT (or Sconfig~T) curve to measure the amount of thermal-energy excitation that is needed for the ergodicity of metastable configurations in an ensemble. Any characteristic temperature extracted from the Sconfig~T curve might not be directly compared to the real temperature that observed from the material synthesis process, because the latter is determined by many processing issues, such as the diffusion of elements, etc.

Fig. 6: The configurational entropy of mixing for the β-type and γ-type ensembles.
figure 6

The calculated configurational entropy of mixing (Sconfig) as a function of thermal-energy excitation (kBT) as well as the temperature (T) for each configuration ensemble.

Another interesting point is that, the convergence tendency of Sconfig~kBT (or Sconfig~T) curve at relatively low thermal-energy excitation levels illustrates whether the β-type or γ-type crystal lattice would have higher possibility of being achieved upon forming homogeneous solid solution. Or rather, it qualitatively implies whether the configurational entropy of mixing has a positive or negative contribution to the β → γ polymorphic transformation. For instance, the (Dy0.25Ho0.25Yb0.25Lu0.25)2Si2O7 system shows Sconfig(β-type) > Sconfig(γ-type) within T < 300 K, which indicates that β-type lattice takes lower energy cost to accommodate sufficient disorder, and thus are more competitive to be formed than the γ-phase, on the Sconfig basis. In this case, the configurational entropy of mixing tends to procrastinate the β → γ polymorphic transformation. By contrast, the (Gd0.25Ho0.25Yb0.25Lu0.25)2Si2O7 system shows Sconfig(γ-type) > Sconfig(β-type), which indicates that the configurational entropy of mixing may accelerate the β → γ polymorphic transformation. Mind that besides the Sconfig we discussed here, the entropic driving force towards polymorphic transformation in rare-earth silicates comprises many other major contributions, such as the lattice vibrations.

Based on these results, we demonstrate that the Sconfig parameter (and its convergence trend with increased thermal-energy excitation) should be an effective descriptor to predict the formation capability of β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solutions as well as the relative entropic contribution to the β → γ polymorphic transformation. In fact, as compared with other possible descriptors (such as the FWHM parameter discussed in this work and the σE parameter discussed in ref. 14, etc.), the Sconfig descriptor takes into account the relative ability of a multicomponent system to accommodate configurational randomness into different polymorphic types under accumulated thermal-energy excitation (beyond the ground state), and thus could properly capture the detailed thermodynamic differences between competing phases. In this respect, the Sconfig descriptor is expected to be useful in describing the phase formation capability of multicomponent materials showing polymorphism.

Discussion

It is worthwhile to discuss some interesting implications of the current work on the design of (nRExi)2Si2O7 materials with good high-temperature phase stability, considering their important applications in the TEBC systems. Hypothetically, the phase formation capability and high-temperature stability of (nRExi)2Si2O7 materials could be depicted in a two-step scenario: whether a target polymorph can be formed in the designed stoichiometry and shows homogeneous RE elemental distribution; and whether the synthesized polymorph could be stabilized up to higher temperature ranges. As illustrated in this work, these two aspects are highly related with the \(\bar{r}\) and σr parameters.

For one thing, the results in this work demonstrate that the formation of a multicomponent system could be conceptualized as the ergodicity of metastable configurations in an ensemble, which contains all the possible configurations resulted from the randomized distributions of multiple doping RE elements. Specifically, for a designed composition to form homogeneous solid solution, most of the metastable configurations should have appreciable probabilities of being formed under a certain amount of excitation, allowing for high configurational randomness into the system; that is to say, lower energy is needed to drive the system towards becoming a homogeneous solid solution. By contrast, if achieving similar level of randomness require extremely high level of thermal-energy excitation, then the system will turn into elemental segregation or phase separation. And, the extent to which the configurational randomness could be tolerated in a specific RE2Si2O7 polymorph is found to be manifested in the σr parameter: the smaller σr value, the higher propensity to form homogeneous solid solution.

For another, it will be interesting to evaluate how the formation capability of β-type (nRExi)2Si2O7 compounds as well as their phase stability up to high temperature ranges refreshes the well-established knowledge of single-RE-principal-component RE2Si2O7 systems. Figure 7 presents the polymorphic formation and transformation diagram of all the single-RE-principal-component RE2Si2O7 compounds, as a function of the RE3+ cationic radius and temperature9. Also included in the diagram are the \(\bar{r}\) parameters of the (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 materials synthesized in this work. Except for the (Lax1Cex2Ybx3Lux4)2Si2O7 and (Eux1Tmx2Ybx3Lux4)2Si2O7 (x1 + x2 + x3 + x4 = 1) system, which cannot form solid solutions with homogeneous and iso-stoichiometric distribution of rare earth elements, the polymorphic types that the (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 compounds can be formed and stabilized are compatible with the phenomenological rule for the single-RE-principal-component RE2Si2O7 compounds. Specifically, the boundary between the β- and γ-phase-dominated zone is, for the first time, quantitatively recognized as \(\bar{r}\)~0.885 Å, below which the corresponding compositions should have β-type structure and show good stability up to high temperatures. The compatible trend of phase formation for single- and multi-RE-principal-component RE2Si2O7 compounds, in terms of the individual or average RE3+ cationic radius, is quite enlightening. Given that the (nRExi)2Si2O7 solid solutions, regardless of the total number of RE components as well as their molar ratio, is virtually formed into a specific polymorphic structure with randomized distribution on the RE sites (governed by sufficiently small σr parameter as discussed above), it is then understandable that the interatomic environments and the polymorphic structures should be controlled by the effective cationic field strength of the system. And, the \(\bar{r}\) parameter exhibits a direct measurement of the effective cationic field strength for the (nRExi)2Si2O7 systems, under the premise that the mixed RE3+ cations show the similar valency. Our test from DFT calculations shows that the interatomic force and the bond length for Si-O and RE-O bonds in the β-(Er0.25Tm0.25Yb0.25Lu0.25)2Si2O7 lattice matches well with the average of the four parent β-RE2Si2O7 (RE = Er, Tm, Yb and Lu) lattices (Supplementary Fig. 7). This implies that the mixing of multiple RE elements tends to create an overall lattice environment that matches with the situation where the RE sites are occupied by a pseudo atom having the average bonding characteristics of the mixing RE atoms, on the premise of them showing similar bonding environments in the respective parent RE2Si2O7 lattices (i.e., reflected by small σr parameter). These results indicates that the polymorphic formation and transformation diagram of single-RE-principal-component RE2Si2O7 compounds could be reliably referenced to guide the design of (nRExi)2Si2O7 materials in any of the seven polymorphic types. In addition, we have preliminarily tested that the \(\bar{r}\)-and-σr criteria could be generalized to predict the phase formation and stabilization of many equimolar or non-equimolar (nRExi)2Si2O7 materials, and have led to successful synthesis of some new materials, such as β-(Dy0.1Tm0.9)2Si2O7, β-(Er0.4Tm0.3Yb0.2Lu0.1)2Si2O7, γ-(Dy0.3Tm0.7)2Si2O7, γ-(Gd0.2Ho0.3Yb0.4Lu0.1)2Si2O7, and γ-(Gd1/6Tb1/6Dy1/6Tm1/6Yb1/6Lu1/6)2Si2O7, etc. (see Supplementary Fig. 8 for examples).

Fig. 7: The polymorphic formation and transformation diagram for RE2Si2O7 materials. The cyan letters (α, β, γ, δ, A, F, and G) represent the seven different polymorphs of single-RE-principal-component RE2Si2O7 materials.
figure 7

The results for the (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 compositions synthesized in this work are added for comparison. The blue dash lines and the pink dash-dot lines mark the average RE3+ radius of the compositions that are finally stabilized at β and γ polymorphs, respectively, at high temperatures. The β-γ boundary located at the average RE3+ radius of \(\bar{r}\)~0.885 Å is marked with arrow for emphasis. The stability range for single-RE-principal-component RE2Si2O7 is reproduced based on Ref. 9, Bondar, I.A., Rare-earth silicates, Ceramics International, 8, 83–89, Copyright (1982), with permission from Elsevier.

At last, we remind that one prime goal of designing (nRExi)2Si2O7 materials is to achieve the mix-and-match of several key RE ingredients, in the hope of synergistic optimization on the mechanical, thermal and corrosion-resistant properties, while maintaining good high-temperature phase stability. Based on this work, a two-step strategy could be proposed to guide the compositional design of β-type (nRExi)2Si2O7 materials. First, several key RE ingredients should be specially included, from the property-oriented considerations; while other RE elements should be used as the adjustive RE ingredients, by resorting to the \(\bar{r}\)-and-σr criteria. And then, the optimal composition could be resolved by adjusting the number of RE elements and/or their molar ratios to tailor the σr and \(\bar{r}\) values, i.e., by minimizing the σr of the multi-RE3+ combination to allow for sufficient configurational randomness into the solid solution; and at the same time tuning the \(\bar{r}\) values into the β-phase-dominated zone (i.e., \(\bar{r}\,\) < 0.885 Å) of the polymorphic formation and transformation diagram of RE2Si2O7. Based on this strategy, the compositional design of β-type (nRExi)2Si2O7 materials is being pushed from the conventional trial-and-error manner up into a quantitative level. This design strategy will be applied and extensively tested in our future works, which may hopefully lead to the efficient screening of (nRExi)2Si2O7 materials with desired properties.

In summary, the phase formation capability of twenty-one (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 (RE = Y, La, Ce, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu) compounds, as representatives of the (nRExi)2Si2O7 materials, are investigated via experimental and high-throughput density functional theory calculations. It is found that the phase formation capability of β-type (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 materials is governed by low energy barrier for the ergodicity of metastable configurations in an ensemble and thus accommodate sufficient configurational randomness of multiple RE3+ cations in β-type structure, while resist the β → γ polymorphic transformation. Interestingly, the phase formation and stabilization are jointly influenced by the average RE3+ radius (\(\bar{r}\)) as well as the deviations (σr) of different RE3+ combinations. Specifically, β-type (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 materials could be formed and further stabilized up to high temperature ranges when satisfying the criteria of (1) \(\bar{r}\,\) < 0.885 Å, as well as (2) sufficiently small σr values. Moreover, the configurational entropy of mixing (Sconfig) is demonstrated as an effective descriptor to predict the formation capability of β-type (REI0.25REII0.25REIII0.25REIV0.25)Si2O7 materials, which is able to quantify the propensity of each hypothetical composition to form β-type solid solutions with homogeneous RE elemental distribution, and simultaneously predicts whether the configurational entropy of mixing has a positive or negative contribution to the β → γ polymorphic transformation. Finally, a guideline is proposed to precisely control the phase formation capability and high-temperature stability of β-type (nRExi)2Si2O7 materials, which pushes the frontier of compositional design of such materials to a quantitative scheme. This work is expected to accelerate the design and fabrication of β-type (nRExi)2Si2O7 materials with tailored compositions and controlled polymorphic phases, which are highly demand for the application of TEBC system.

Methods

Experimental

Commercially available powders of Y2O3, La2O3, CeO2, Eu2O3, Gd2O3, Tb4O7, Dy2O3, Ho2O3, Er2O3, Tm2O3, Yb2O3, and Lu2O3 (Rear-Chem. Hi-Tech. Co. Ltd., Huizhou, China), and SiO2 (Sinopharm Chemical Reagent Co. Ltd., Shanghai, China) were used as starting materials to fabricate the (nRExi)2Si2O7 samples. For each target composition, rare-earth oxides and SiO2 powders were mixed according to the stoichiometry of (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7, and then ball milled for 24 h in a Si3N4 jar with Si3N4 balls and ethanol solution. The obtained slip was dried at 60 °C for 24 h and then passed through a 120-mesh sieve. Pressure-less synthesis method was adopted to synthesize the (nRExi)2Si2O7 powders at 1550 °C for 6 h or 1800 °C for 1 h. To promote the concerned β → γ polymorphic transformation by accelerating the mass transfer in the solid-state synthesis reaction, some (nRExi)2Si2O7 samples were additionally hot-pressed in a BN-coated graphite mold at 1650 °C, 1800 °C, 1860 °C or 1900 °C for 1 h or 2 h under the pressure of 30 MPa. The phase compositions of (nRExi)2Si2O7 samples were determined using an X-ray diffractometer (D/max-2400, Rigaku, Tokoy, Japan). Rietveld refinement method was used for quantitative phase analysis using the General Structural Analysis System (GSAS) program.48,49 Phase identification and rare-earth elements distribution of bulk samples were observed with a SEM (SUPRA 35, Zeiss, Oberkochen, Germany) equipped with an energy dispersive spectrometer (INCAx-sight, Oxford Instruments, Oxford, UK), and the point analysis for each phase was repeated for at least 7 times. The atomic distributions of rare earth elements in (nRExi)2Si2O7 samples were characterized by a double aberration-corrected scanning transmission electron microscope (STEM) (Titan Themis Z, Thermo Fisher Scientific, Waltham, USA) equipped with high angle annular dark field (HAADF) detector and energy dispersive X-ray spectroscopy (EDS) systems.

Calculation of configurational entropy

Under the framework of equilibrium statistical mechanics, the concept of entropy for a macroscopic variable could be interpreted as measuring the extent to which the probability of the system is spread out over different possible microstates. In this study, the (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 solid solution with random occupations of RE3+ cations on its sublattice sites could be understood as the macrostate; while the possible metastable configurations could be understood as the microstates. The thermodynamics of the macrostate could be derived from the partition function, which encodes how the probabilities are partitioned among different microstates based on their individual configurational energies. The partition function could be written in the formula for the canonical ensemble38,50:

$$Z=\mathop{\sum }\limits_ {i=1}^{N}{{{{{\rm{exp }}}}}}\left(-\frac{{E}_{i}}{{k}_{{{{{{\rm{B}}}}}}}T}\right)$$
(1)

Herein, i is the index for the microstates of the system; N is the total number of the microstates; kB is the Boltzmann constant; and T is the absolute temperature. Ei is the energy for the ith microstate, derived from the standard DFT total energy calculations (at temperature of T = 0 K):

$${E}_{i}={E}_{4{{{{{\rm{mix}}}}}}}-\frac{1}{4}{E}_{{{{{{{\rm{RE}}}}}}}^{{{{{{\rm{I}}}}}}}}-\frac{1}{4}{E}_{{{{{{{\rm{RE}}}}}}}^{{{{{{\rm{II}}}}}}}}-\frac{1}{4}{E}_{{{{{{{\rm{RE}}}}}}}^{{{{{{\rm{III}}}}}}}}-\frac{1}{4}{E}_{{{{{{{\rm{RE}}}}}}}^{{{{{{\rm{IV}}}}}}}}$$
(2)

where E4mix is the total energy of the (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 unit cell; ERE (with superscript I−IV) is the total energy of the corresponding single-RE-principal-component RE2Si2O7, in the same polymorphic structure as the multicomponent material. Herein, the calculated Ei could be understood as the energy of mixing, which interprets the procedure of several single-RE-principal-component RE2Si2O7 mixed into a multi-RE-principal-component system through random assignment of the RE atoms onto the RE lattice sites. Then, the configurational energy for the macrostate could be written as the ensemble average of Ei, which is the sum of energies for the microstates weighted by their probabilities:

$$\left\langle E\right\rangle=\frac{1}{Z}\mathop{\sum }\limits_{i=1}^{N}{E}_{i}{{{{{\rm{exp }}}}}}\left(-\frac{{E}_{i}}{{k}_{{{{{{\rm{B}}}}}}}T}\right)$$
(3)

And, the free energy raised from configurational disorders is given by:

$$F=-{k}_{{{{{{\rm{B}}}}}}}T{{{{{\rm{ln}}}}}}Z$$
(4)

In practice, it is computationally challenging to model the ensemble of all possible configurations for the multicomponent materials. Instead, the ensemble average could be performed over a representative subset of the whole microstate populations, provided that the subset extensively samples the energy landscape of all the microstates, and thus lead to statistically converged thermodynamic properties with respect to those of the whole population. This restriction is expressed by:

$$\frac{Z}{N}=\frac{Z^{\prime} }{N^{\prime} }$$
(5)

Herein, N’ is the total number of the sampled microstates; and Z′ is their partition function. Imposing the Eq. (5) into the Eq. (4) gives:

$$F=-{k}_{{{{{{\rm{B}}}}}}}T\,{{{{{\mathrm{ln}}}}}}\left(N\cdot \frac{Z^{\prime} }{N^{\prime} }\right)=-{k}_{{{{{{\rm{B}}}}}}}T\,{{{{{\mathrm{ln}}}}}}\,N-{k}_{{{{{{\rm{B}}}}}}}T\,{{{{{\mathrm{ln}}}}}}\,\frac{{\sum }_{i=1}^{N^{\prime} }\exp \left(-\frac{{E}_{i}}{{k}_{{{{{{\rm{B}}}}}}}T}\right)}{N^{\prime} }$$
(6)

Finally, the configurational entropy is derived from:

$${S}_{{{{{{\rm{config}}}}}}}=\left(\left\langle E\right\rangle -F\right)/T$$
(7)

It should be noticed that, in general, the entropy of materials comprises contributions from configuration, vibration, electronic excitation, magnetism, etc. This model mainly deals with the configurational entropy of mixing, as it is expected to have significant effect on the formation of multicomponent ceramics. Such theoretical framework has been successfully adopted in Anand et al.’s work to interpret the thermodynamics of high-entropy oxides.38 Alternatively, one could also examine the energy spread of a system by calculating the formation energy for every metastable configuration in the ensemble, such as using the RE2O3 and SiO2 as reference states in the Eq. (2). Results are discussed in the Supplementary Note 5 and Supplementary Fig. 9. Such modification will not change the calculated Sconfig, as it is derived from the dispersive features of the energy spread.

The available configurations for the multicomponent solid solution are generated by employing the special quasirandom structures (SQS) generation code implemented in the Alloy Theoretic Automated Toolkit (ATAT) package51, which allows for the simulation of disordered crystallines by sampling on supercells with varied shapes and randomized occupations on the RE cationic sites (Supplementary Fig. 6a). Supercells with 88 lattice sites are used to construct the β-type and γ-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7 systems, corresponding to four times of the minimum cell size necessary to reproduce the required stoichiometry. The configuration ensembles are constructed to include 558 unique configurations for the β-type (REI0.25REII0.25REIII0.25REIV0.25)2Si2O7, and 319 for the γ-type structures. Details on the stochastic generation of configuration ensembles, as well as the convergence test on the size of configuration ensembles, are presented in the Supplementary Note 6 and Supplementary Fig. 10.

Computational details

Density functional theory (DFT) calculations is performed using the Vienna Ab Initio Simulation Package (VASP)52. The interactions between core electrons and valence electrons are described by the projector augmented wave (PAW) method53. The Perdew-Burke-Ernzerhof (PBE)54 form of the generalized gradient approximation (GGA) is used to formulate the electronic exchange correlations functional. The energy cut-off for plane-wave basis is set as 600 eV, which has been tested to give accurate prediction on the energy spread of configuration ensembles (see Supplementary Note 7 and Supplementary Fig. 11 for the results of convergence test). The Brillouin zone (BZ) is sampled using the Γ-centered Monkhorst-Pack55 k-mesh in the resolution of 2π × 0.03 Å−1. For geometric optimization, the lattice parameters and internal atomic positions are fully relaxed, and the convergence criteria are set as 1×10−7 eV for the total energy and 5 × 10−3 eV/Å for the ionic Hellmann–Feynman forces, respectively.