Temperature mapping of operating nanoscale devices by scanning probe thermometry


Imaging temperature fields at the nanoscale is a central challenge in various areas of science and technology. Nanoscopic hotspots, such as those observed in integrated circuits or plasmonic nanostructures, can be used to modify the local properties of matter, govern physical processes, activate chemical reactions and trigger biological mechanisms in living organisms. The development of high-resolution thermometry techniques is essential for understanding local thermal non-equilibrium processes during the operation of numerous nanoscale devices. Here we present a technique to map temperature fields using a scanning thermal microscope. Our method permits the elimination of tip–sample contact-related artefacts, a major hurdle that so far has limited the use of scanning probe microscopy for nanoscale thermometry. We map local Peltier effects at the metal–semiconductor contacts to an indium arsenide nanowire and self-heating of a metal interconnect with 7 mK and sub-10 nm spatial temperature resolution.


A key challenge in nanoscience is the development of versatile techniques to map variations in temperature with nanometre-scale spatial resolution1,2,3,4,5,6,7. Various studies have addressed this using techniques such as Raman1, fluorescence8,9,10 and luminescence thermometry3. These methods, however, suffer from an optical diffraction-limited spatial resolution that is not sufficient to characterize hotspots only a few nanometres in size11. A recent transmission electron microscopy approach overcomes this optical diffraction limit12, but is only applicable to thin samples (<100 nm) of certain materials (specific metals and semiconductors). To address the lack of versatile, high-resolution thermometry techniques, scanning probe-based methods have been explored13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28. Thermal scanning probe measurements, however, typically suffer from contact-related artefacts13,14,29,30 that restrict their applicability for nanoscale thermometry.

Unlike macroscopic contact thermometers, they typically not infer temperature by measuring only one physical property, for example, the electrical resistance, of a calibrated sensor in equilibrium with the system of interest. Instead, they detect a heat-flux-related signal across a tip–sample contact that is not only proportional to the temperature difference between a probe sensor (Tsensor) and a sample (Tsample), but also influenced by an unknown thermal contact resistance (Rts(T))29,30. The well-established concept of equilibrium contact thermometry cannot be easily adapted to the nanoscale, as it would require Rts to be small compared with the resistance between the sensor and its thermal reservoir (Rcl), a condition that practically cannot be achieved for high-resolution scanning probes forming nanoscopic contacts18,19,22,23,24,25.

To measure the temperature in such a non-equilibrium situation, one has to account for the thermal coupling strength (given by the value of Rts) between sample and sensor. This demand is comparable to that for an infrared thermometer, requiring emissivity corrections to quantify the temperature of a non-ideal black body as potential that governs a (radiative) heat flux. Previous attempts addressing this issue on the nanoscale including a two-pass method23 and dynamic adjustment of the probe sensor temperature24,31 are complicated to implement and could not demonstrate reliable temperature mapping in those cases where the surface topography is inhomogeneous. This is mainly because Rts of a nanoscopic contact is not only difficult to predict13,14,29,30 but a position-dependent property that varies dynamically during the imaging of a surface.

Here we first elucidate the challenge of using thermal scanning probes for nanoscale thermometry, before we present an approach that enables the elimination of contact-related artefacts. We illustrate how the perturbing variations of Rts can be separated from sample temperature variations by simultaneously probing a time-dependent and a time-averaged heat flux signal between a self-heated scanning probe sensor and a temperature-modulated sample.


Self-heating of a metal interconnect

To demonstrate the technique, we first characterize the Joule heating of a gold interconnect structure shown schematically in Fig. 1 and as an atomic force micrograph in Fig. 2a. An alternating voltage bias (±3 V) is applied to the interconnect, inducing an AC current of ±2.4 mA (see Supplementary Fig. 1 for a detailed schematic of the data acquisition). When using sufficiently small frequency (f=ω/(2π)=10 kHz), the applied voltage bias leads to a steady-state temperature increase and a continuous modulation of the interconnect temperature (Tsample=TRTTsample(1+sin(2ωt))) at twice the excitation frequency, with TRT denoting room temperature. The change in sample temperature (ΔTsample) affects the tip–sample heat flux , which is related to the measured electrical power (Pel) dissipated in the probe sensor and also by the sensor temperature (Tsensor=Tsensor,DC+Tsensor,ACsin(2ωt)), which is proportional to the electrical resistance (R) of the sensor (see the Supplementary Note 1 for the derivation of the relation between power, resistance and temperature of the probe). By simultaneously measuring the temperature-dependent steady-state (DC) and the alternating (AC) response of the probe sensor, the sample temperature increase can be derived as

Figure 1: Illustration of the experiment.

(a) Schematic of the thermoresistive scanning probe in contact with a self-heated gold (Au) interconnect (100 nm wide) on a silicon (111) substrate wafer covered with 150 nm of amorphous silicon nitride (SiNx). An alternating voltage bias (V cos(ωt)) is applied to modulate the sample temperature. The sample temperature field (red–blue colour scheme indicates the temperature from hot to cold) is inferred by simultaneously probing a time-dependent and a time-averaged heat flux signal between the heatable (red coloured) sensor and the temperature-modulated sample. (b) The sensor is decoupled from its thermal reservoir by the thermal resistance of the cantilever (Rcl). The tip–sample heat flux is not only a function of the temperature difference between the sensor (Tsensor) and sample (Tsample), but also of the tip–sample contact thermal resistance (Rts). Changes of the tip–sample contact due to (c–d) the material in contact with the tip, (d–e) the tip–sample contact area and tribological effects cause variations of Rts.

Figure 2: Self-heating of a nanoscale metal interconnect structure.

A bipolar voltage bias is applied to the electrical interconnect shown in (a) as height image (scale bar, 1 μm). Joule heating of the structure is characterized by simultaneously mapping local variations in (b) the tip–sample thermal resistance (Rts) and (c) the tip–sample heat flux (Qts,AC). Previous approaches inferred local temperature fields using a constant, position-independent (x,y) tip–sample thermal resistance (for example, the mean of Rts(x, y)). This leads to significant artefacts, illustrated as (d) an apparent temperature distribution. By combining position-dependent thermal resistance variations with the local heat flux maps, we can calculate (e) the true sample temperature rise (ΔTsample). This relative temperature increase can be encoded in terms of both height and colour as shown (f), to illustrate the characteristic (parabolic) Joule heating along the interconnect segment, as well as heat spreading (indicated by the white dotted arrows and lines) into the SiNx/Si substrate and the electrically floating interconnect segment. It is noteworthy that the colourbar applies also to d,e.


Importantly, a part of the DC sensor temperature component (Tsensor,DC) is set by the sensing voltage bias applied to the scanning probe, which typically heats the sensor to about 20–200 K above TRT. As a result, Tsensor,DC and Tsensor,AC are not the same, and the two unknown ΔTsample and Rts can be extracted simultaneously from the two measurable quantities Tsensor,DC and Tsensor,AC via equations (1) and (2) for each pixel of an image under the assumption that, for a given scan position, Rts is approximately constant within the range of sample temperature modulation. Under this assumption, Rts can be directly expressed as a ratio between the measured heat fluxes and sensor temperatures, while previously Rts had to be either estimated by modelling simulations14,15,18,19,22,25 or be determined from reference measurements23. The fact that we can avoid this step reduces systematic and propagated measurement errors dramatically.

Figure 2b shows the thermal resistance (Rts) map recorded simultaneously to the AC tip–sample heat flux , while raster scanning the probe in contact with the surface. Measurements were conducted in a high-vacuum environment (<10−6 mbar) that diminishes parasitic heat conduction between the probe sensor and the sample via air-mediated conduction/convection. Large variations in Rts can be observed in correlation with topography features that change the tip–sample contact area. These features perturb , as evident from the signal variations at the interconnect edges in Fig. 2c.

Previous approaches for inferring temperature maps using scanning thermal microscopy (SThM) did not fully account for these contact-related effects, but typically assumed a position-independent value for Rts (refs 14, 15, 18, 19, 22, 25) to transform a heat-flux-related signal to a temperature field map. Such a procedure, however, can lead to significant systematic errors as shown in the ‘apparent’ temperature map in Fig. 2d. The section of the interconnect that is heated most even shows a reduced temperature in the centre of the metal line with respect to its edges, which is highly implausible. By accounting for position-dependent variations of Rts, however, we can obtain a corrected temperature map (see Fig. 2e). The rather homogenous temperature field and the absence of nanoscopic, contact-related features in Fig. 2e, are important results of our work and highlighting the benefits of the scanning probe thermometry approach presented here. As this technique is applicable to various kind of material surfaces, it also enables to map the temperature field extending around the heated interconnect. To illustrate this, Fig. 2f shows the temperature distribution of Fig. 2e encoded in terms of both height and colour. Not only the self-heating of the thinnest interconnect segment exhibiting the typical, nearly parabolic temperature profile due to Joule heating but also the temperature decay into the floating interconnect segment and the spreading of heat into the substrate are resolved. This real-space temperature field information can be particularly valuable when comparing with models and simulations18,23, and potentially provides further insight into the thermal coupling between the interconnect and the substrate.

Self-heating of an InAs nanowire

Having established a reliable approach to image nanoscopic temperature fields, we use it to study self-heating of an indium arsenide (InAs) nanowire32. Again, a bipolar AC voltage bias is applied (see Fig. 3a), inducing not only Joule heating in the nanowire, but also Peltier heating/cooling at the metal–semiconductor interfaces. In contrast to previous SThM approaches mapping only overall temperature fields, our method can be applied to study both effects separately, an important option that facilitates direct characterization of thermoelectric effects in real space that might find relevance for the characterization of operating logic, memory- and energy-harvesting devices. For a linear device (for example, an ohmic resistor), the two effects can be distinguished in a single measurement scan (see ref. 33 and ref. 26), because the Peltier effect has a linear dependence on an electrical current, matching the frequency of the applied voltage bias (see Fig. 3a), whereas Joule heating has a quadratic response that can be detected in the higher harmonic response (2f) of the probe sensor. Applying the same procedure as described for the metal interconnect, we can simultaneously map variations in the thermal resistance (see Fig. 3b) and variations in the tip–sample heat flux (see Fig. 3c), now separated for the two frequencies ( and ) corresponding to Peltier and Joule effects, respectively. The assignment of the (1f and 2f) signals to the heat generation due to Peltier and Joule effects, respectively, is supported by an analysis of the observed effects as a function of voltage bias amplitude (see Supplementary Note 2 and Supplementary Fig. 3). By combining the thermal resistance and heat flux measurements, we can successfully eliminate tip–sample contact-related artefacts and calculate the sample’s temperature field according to equations (1) and (2) expanded for two frequencies.

Figure 3: Direct imaging of local Joule and Peltier effects of a self-heated nanowire.

(a) A bipolar AC voltage bias (0.7 V, frequency f=ω/(2π)=10 kHz) is applied to the InAs nanowire (120 nm wide) contacted by metal (Au/Ni) electrodes, leading to Peltier heating/cooling at the metal–semiconductor contacts and Joule heating in the nanowire. (b) Tip–sample thermal resistance (Rts) image (scale bar, 300 nm) recorded simultaneously to (c) the tip–sample heat flux at two different frequencies (1f and 2f) corresponding to Peltier and Joule effects, respectively. (d) Instantaneous Peltier and Joule distributions of temperature at maximum modulation amplitudes, calculated by combining the thermal resistance and the heat flux maps, which enables us to eliminate tip–sample contact-related artefact in regions where the surface topography is inhomogeneous and the material composition varies. It is noteworthy that there is no net Peltier effect along the nanowire in time average.

The instantaneous Peltier temperature field, shown in Fig. 3d, induced by net heat generation or extraction at the nanowire–metal contacts exhibits a symmetrical, almost linear temperature profile along the nanowire length with a vanishing temperature change in the centre (see Supplementary Note 3 and Supplementary Fig. 4 for the related phase signals). It is noteworthy that the Peltier temperature at a certain phase is shown; in time average, there is no heating or cooling of the nanowire in response to the bipolar AC excitation. Conversely, the Joule-heating-related temperature increase of the nanowire (see Fig. 3d) does not show a nearly parabolic temperature distribution as observed for the self-heated metal interconnect, but indicates a temperature increase towards the electrical contacts (see also Supplementary Fig. 2). This could stem from either a very non-homogenous thermal coupling of the respective nanowire sections to the substrate or enhanced Joule heating near the Au/Ni-InAs contacts. As there is no indication of a non-uniform thermal coupling to the substrate in the Peltier measurement, we conclude that the Joule heating along this particular nanowire must be unevenly distributed, favouring the nanowire–metal contact regions.


To discuss the method presented here, we first consider the sample-temperature resolution of our measurements. As argued above, the sample-temperature resolution is directly correlated to the sensitivity for variations in heat flux. We characterized the voltage noise-limited temperature resolution (δTres−probe) of our thermal probes, which range from 1 to 100 μK as a function of sensor temperature and operation frequency. For the measurements presented, we calculate a temperature resolution of δTres−probe=2 μK and 20 μK for the interconnect and nanowire experiments, respectively, which is two to three orders of magnitude larger than in a recent nanoscale thermometry approach of similar spatial resolution based on plasmon energy expansion thermometry12. With a probe sensor thermal resistance Rcl on the order of 2 × 105 K W−1, this translates into a sub-100 pW heat flux resolution at 20 kHz operation frequency. A comparable heat flux resolution has previously only been achieved by MEMS nanocalorimeters34, which, however, do not provide local imaging functionality. Achieving this high sensitivity is important, as it allows the total heat flux to be limited to values that are small enough not to perturb the heat generation in the sample volume beneath the tip (<100 nW for the nanowire experiment). The heat flux used in our experiments is comparable to that used in typical non-contact, radiative heat flux experiments based on Raman or fluorescence thermometry, thus ruling out one of the main concerns against using contact-based methods for nanoscale thermometry3,12.

The sample temperature resolution is limited by the heat flux resolution of the thermal scanning probe system and could be estimated based on the intrinsic resolution of the probe sensor and the tip–sample thermal resistance . Typically, either the intrinsic noise in the sensor circuitry22 or the noise extracted from nominally flat regions in the image data23,28 are used to quantify the resolution. The latter is a more conservative approach, as it includes additional noise sources affecting the measured sample temperature field, such as mechanical noise of the tip–sample contact or changes at the tip apex. Therefore, we prefer to directly extract the sample temperature resolution as root mean square noises from the experimental data of Figs 2e and 3f, reaching 7 and 85 mK, respectively. These sample temperature resolutions have to be considered in the context of lateral resolution, which is directly linked to the value of Rts via the size of the tip–sample contact. The sample temperature resolution of the nanowire experiments is less than those of the metal interconnect studies, whereas spatial resolution is higher. In the nanowire experiment, we observe a tip–sample thermal resistance (up to Rts=6 × 108 K W−1) similar to that of a previous SThM resolution demonstration of 6 nm35, which also matches the smallest features observable in the nanowire scans. Therefore, we conclude that the method is suitable for achieving a sub-10 mK temperature resolution at sub-10 nm lateral temperature resolution with the microscope used.

It is noteworthy that a meaningful demonstration of a spatial temperature resolution in SThM measurements is challenging. Ideally, it requires a step-like temperature variation in the absence of any other variation influence the heat flux-related measurement signal such as a material- or topography-related change in the tip–sample thermal resistance. However, using contact model estimations to calculate the size of the mechanical contact between the tip and sample are oftentimes inherently inaccurate and can be in contradiction to the heat flux resolution, which is a strong function of contact size. Therefore, a meaningful resolution definition for SThM measurements should be based on the tip–sample heat flux resolution, as heat flux-related signals are measured and directly reflecting the tradeoff between sample temperature resolution and spatial resolution via their common dependence on the tip–sample contact size. In our experiments, we can extract a heat flux resolution of 140 pW in a 100-Hz bandwidth, which is a factor of 25 or more improvement compared with previous SThM measurements22,23,28.

Finally, we may also discuss limitations of the scanning probe thermometry approach presented. Although the technique described can be easily implemented, it is limited to cases where the sample temperature can be modulated, for example, by electrical or optical means. Steady heat sources may not be fully characterized by the presented approach and alternative techniques, for example, based on multiple measurements23,24 might be applied to those cases. Although the presented modulation-based thermometry approach simplifies the temperature field characterization as all signals can be characterized in a single measurement scan, it comes on the additional experimental effort to create a temperature modulation of known frequency in the first step. As the modulation frequency can be flexible chosen, even the transient regime of local heat sources might be characterized to extract further information, for example, about the thermal diffusivity of the system, beyond the direct imaging of a steady-state temperature field itself (see Supplementary Discussion and Supplementary Fig. 5). Furthermore, care is needed not to perturb the sample heat source by the measurement heat flux between the scanning probe sensor and the sample. It is noteworthy that this is a common challenge to any thermometry method, even for non-contact-based approaches where optical or electron beam-based sensing fluxes are used for detection.

To summarize, we have introduced a versatile scanning probe thermometry technique to enable quantitative, spatially resolved temperature measurements down to few-nanometre spatial resolution and sub-10 mK temperature resolution. The presented approach accounts for contact-related artefacts, so far limiting the reliability of scanning probe microscopy for nanoscale thermometry, and may promote further understanding of local thermal processes in various areas of nanoscience. It can be used to characterize surfaces of almost arbitrary materials and is expected to have a direct impact on understanding of nanoscale devices dealing with local thermophysical effects such as the spin-Peltier effect5, the magnetocaloric effect or the thermoplasmonic effect9.


Experimental setup

Experiments where conducted using a custom-built high-vacuum SThM35 situated in an electromagnetically shielded, temperature-stabilized laboratory36. Our typical cantilevers have a nominal spring constant of 0.15–0.20 N m−1 and a resonance frequency in the range of 50 kHz, making them well suited for contact-mode operation. The cantilever is highly phosphorus doped (1020 cm−3) for good electrical conductivity. The heater region of (4 × 6) μm below the tip has a nominal dopant density of 5 × 1017 cm−3. The thermal resistance of the cantilever when situated in vacuum is typically 2 × 105 K W−1. The thermal resistance is mainly defined by the heat flux from the heater region along the anchor beams of the cantilever into the chip body. The thermal isolation of the heater region is maximized in a tradeoff between the mechanical and thermal properties of the lever. For scanning probe operation, we require a critical thickness of the cantilever, which is already a thin beam of only 300 nm in the region of the hinge. More than 90% of the total power dissipation in the cantilever occurs in the small region of the heater element below the tip. The heater equilibrates in a few microseconds. The electrical resistance is on the order of 1.2 kΩ at room temperature and increases to about 3.3 kΩ at 550 °C. Overall, the heater can be heated up to 1,000 °C. Further details on the cantilever, its design and fabrication are reported by Drechsler et al.37.

Sample fabrication

The metal interconnect test structure consists of nanoscale gold interconnects on a silicon (111) substrate waver coated with 150 nm of amorphous silicon nitride (SiNx). The narrow gold lines (100 nm wide) were fabricated via electron-beam lithography (Vistec EBPG5200) and patterned by an etching process.

InAs nanowires were grown by metal-organic vapour-phase epitaxy on a silicon(111) wafer38. The nanowire (120 nm diameter) was separated from the growth substrate and transferred to a silicon substrate covered with a 100-nm-thick silicon oxide. Electrical contacts (Au/Ni) were fabricated by e-beam lithography.

Additional information

How to cite this article: Menges, F. et al. Temperature mapping of operating nanoscale devices by scanning probe thermometry. Nat. Commun. 7:10874 doi: 10.1038/ncomms10874 (2016).


  1. 1

    Cahill, D. G., Goodson, K. & Majumdar, A. Thermometry and thermal transport in micro/nanoscale solid-state devices and structures. J. Heat Transfer 124, 223–241 (2002).

    CAS  Article  Google Scholar 

  2. 2

    Christofferson, J. et al. Microscale and nanoscale thermal characterization techniques. J. Electronic Packaging 130, 041101 (2008).

    Article  Google Scholar 

  3. 3

    Brites, C. D. S. et al. Thermometry at the nanoscale. Nanoscale 4, 4799–4829 (2012).

    CAS  ADS  Article  Google Scholar 

  4. 4

    Xiong, F., Liao, A. D., Estrada, D. & Pop, E. Low-power switching of phase-change materials with carbon nanotube electrodes. Science 332, 568–570 (2011).

    CAS  ADS  Article  Google Scholar 

  5. 5

    Dejene, F. K., Flipse, J., Bauer, G. E. W. & van Wees, B. J. Spin heat accumulation and spin-dependent temperatures in nanopillar spin valves. Nat. Phy. 9, 636–639 (2013).

    CAS  Article  Google Scholar 

  6. 6

    Jin, C. Y., Li, Z., Williams, R. S., Lee, K.-C. & Park, I. Localized temperature and chemical reaction control in nanoscale space by nanowire array. Nano Lett. 11, 4818–4825 (2011).

    CAS  ADS  Article  Google Scholar 

  7. 7

    Lee, J. & Kotov, N. A. Thermometer design at the nanoscale. Sci. Rep. 2, 48–51 (2007).

    Google Scholar 

  8. 8

    Okabe, K. et al. Intracellular temperature mapping with a fluorescent polymeric thermometer and fluorescence lifetime imaging microscopy. Nat. Commun. 3, 705 (2012).

    Article  Google Scholar 

  9. 9

    Baffou, G. & Quidant, R. Nanoplasmonics for chemistry. Chem. Soc. Rev. 43, 3898–3907 (2014).

    CAS  Article  Google Scholar 

  10. 10

    Kucsko, G. et al. Nanometre-scale thermometry in a living cell. Nature 500, 54–58 (2013).

    CAS  ADS  Article  Google Scholar 

  11. 11

    Pop, E. Energy dissipation and transport in nanoscale devices. Nano Res. 3, 147–169 (2010).

    CAS  Article  Google Scholar 

  12. 12

    Mecklenburg, M. et al. Nanoscale temperature mapping in operating microelectronic devices. Science 347, 629–632 (2015).

    CAS  ADS  Article  Google Scholar 

  13. 13

    Borca-Tasciuc, T. Scanning probe methods for thermal and thermoelectric property measurements. Annu. Rev. Heat Transfer 16, 211–258 (2013).

    Article  Google Scholar 

  14. 14

    Gomès, S., Assy, A. & Chapuis, P.-O. Scanning thermal microscopy: a review. Phys. Stat. Solid. (a) 212, 477–494 (2015).

    ADS  Article  Google Scholar 

  15. 15

    Majumdar, A. et al. Thermal imaging by atomic force microscopy using thermocouple cantilever probes. Rev. Sci. Instrum. 66, 3584–3592 (1995).

    CAS  ADS  Article  Google Scholar 

  16. 16

    Aigouy, L., Tessier, G., Mortier, M. & Charlot, B. Scanning thermal imaging of microelectronic circuits with a fluorescent nanoprobe. Appl. Phys. Lett. 87, 184105 (2005).

    ADS  Article  Google Scholar 

  17. 17

    De Wilde, Y. et al. Thermal radiation scanning tunnelling microscopy. Nature 444, 740–743 (2006).

    CAS  ADS  Article  Google Scholar 

  18. 18

    Shi, L. et al. Thermal probing of energy dissipation in current-carrying carbon nanotubes. J. Appl. Phys. 105, 104306 (2009).

    ADS  Article  Google Scholar 

  19. 19

    Yu, Y.-J. et al. High-resolution spatial mapping of the temperature distribution of a Joule self-heated graphene nanoribbon. Appl. Phys. Lett. 99, 183105 (2011).

    ADS  Article  Google Scholar 

  20. 20

    Kittel, A. et al. Near-field thermal imaging of nanostructured surfaces. Appl. Phys. Lett. 93, 193109 (2008).

    ADS  Article  Google Scholar 

  21. 21

    Soudi, A., Dawson, R. & Gu, Y. Quantitative heat dissipation characteristics in current-carrying GaN nanowires probed by combining scanning thermal microscopy and spatially resolved Raman spectroscopy. ACS Nano 5, 255–262 (2010).

    Article  Google Scholar 

  22. 22

    Kim, K., Jeong, W., Lee, W. & Reddy, P. Ultra-high vacuum scanning thermal microscopy for nanometer resolution quantitative thermometry. ACS Nano 81, 114901 (2012).

    Google Scholar 

  23. 23

    Menges, F., Riel, H., Stemmer, A. & Gotsmann, B. Quantitative thermometry of nanoscale hot spots. Nano Lett. 12, 596–601 (2012).

    CAS  ADS  Article  Google Scholar 

  24. 24

    Hwang, G., Chung, J. & Kwon, O. Enabling low-noise null-point scanning thermal microscopy by the optimization of scanning thermal microscope probe through a rigorous theory of quantitative measurement. Rev. Sci. Instrum. 85, 114901 (2014).

    ADS  Article  Google Scholar 

  25. 25

    Jeong, W., Kim, K., Youngsang, K., Woochul, L. & Pramond, R. Characterization of nanoscale temperature fields during electromigration of nanowires. Sci. Rep. 4, 4975 (2014).

    CAS  Article  Google Scholar 

  26. 26

    Grosse, K. L., Pop, E. & King, W. P. Heterogeneous nanometer-scale Joule and Peltier effects in sub-25nm thin phase change memory devices. J. Appl. Phys. 116, 124508 (2014).

    ADS  Article  Google Scholar 

  27. 27

    Bontempi, A., Thiery, L. & Teyssieux, D. DC and AC scanning thermal microscopy using micro-thermoelectric probe. High Temp.-High Press. 46, 321–332 (2014).

    Google Scholar 

  28. 28

    Wielgoszewski, G. et al. Microfabricated resistive high-sensitivity nanoprobe for scanning thermal microscopy. J. Vacuum Sci. Technol. B 28, C6N7–C6N11 (2010).

    CAS  Article  Google Scholar 

  29. 29

    Sarid, D., Khulbe, P. & Grover, R. Effects of sample topography and thermal features in scanning thermal conductivity microscopy. Solid State Commun. 145, 389–391 (2008).

    CAS  ADS  Article  Google Scholar 

  30. 30

    Martinek, J., Klapetek, P. & Campbell, A. C. Methods for topography artifacts compensation in scanning thermal microscopy. Ultramicroscopy 155, 55–61 (2015).

    CAS  Article  Google Scholar 

  31. 31

    Chung, J. et al. Quantitative temperature profiling through null-point scanning thermal microscopy. Int. J. Thermal Sci. 62, 109–113 (2012).

    Article  Google Scholar 

  32. 32

    Mensch, P. et al. One-dimensional behavior and high thermoelectric power factor in thin indium arsenide nanowires. Appl. Phys. Lett. 106, 093101 (2015).

    ADS  Article  Google Scholar 

  33. 33

    Vermeersch, B. & Shakouri, A. Simultaneous thermal imaging of Peltier and Joule effects IMAPS Thermal ATW (2010).

  34. 34

    Song, B. et al. Enhancement of near-field radiative heat transfer using polar dielectric thin films. Nat. Nanotechnol. 10, 253–258 (2015).

    CAS  ADS  Article  Google Scholar 

  35. 35

    Menges, F., Riel, H., Stemmer, A., Dimitrakopoulos, C. & Gotsmann, B. Thermal transport into graphene through nanoscopic contacts. Phys. Rev. Lett. 111, 205901 (2013).

    ADS  Article  Google Scholar 

  36. 36

    Lörtscher, E., Widmer, D. & Gotsmann, B. Next-generation nanotechnology laboratories with simultaneous reduction of all relevant disturbances. Nanoscale 5, 10542–10549 (2013).

    ADS  Article  Google Scholar 

  37. 37

    Drechsler, U. et al. Cantilevers with nano-heaters for thermomechanical storage application. Microelectron. Eng. 67, 397–404 (2003).

    Article  Google Scholar 

  38. 38

    Ghoneim, H. et al. In situ doping of catalyst-free InAs nanowires. Nanotechnology 23, 505708 (2012).

    Article  Google Scholar 

Download references


This work was supported in part by the Swiss National Science Foundation (project number 134777) and by the European Union Seventh Framework Program NANOHEAT under Grant Agreement 318625. Furthermore, we thank M. Tschudy, B. Veselaj, U. Drechsler and K. Lister for experimental support. We also acknowledge support by S. Karg, E. Lörtscher, A. Knoll, W. Häberle, P. Nirmalraj, C. Bolliger and W. Riess, as well as discussions with M. Lenczner and Y. Bin.

Author information




The work was conceived by B.G. and F.M. The experimental setup and analysis were designed and implemented by F.M. and B.G. The experiments were performed by F.M. under the supervision of A.S., H.R. and B.G. The nanowire was grown by H.S. and contacted by P.M. The manuscript was written by F.M. and B.G. with comments and input from all authors.

Corresponding author

Correspondence to Fabian Menges.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures 1-5, Supplementary Notes 1-3, Supplementary Discussion and Supplementary References (PDF 3815 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Menges, F., Mensch, P., Schmid, H. et al. Temperature mapping of operating nanoscale devices by scanning probe thermometry. Nat Commun 7, 10874 (2016). https://doi.org/10.1038/ncomms10874

Download citation

Further reading


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.