Thermoelectric response from grain boundaries and lattice distortions in crystalline gold devices
- aDepartment of Physics and Astronomy, Rice University, Houston, TX 77005;
- bDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305;
- cDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005;
- dDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77005
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Edited by Eric Toberer, Colorado School of Mines, Golden, CO, and accepted by Editorial Board Member Evelyn L. Hu August 11, 2020 (received for review February 5, 2020)

Significance
Scanning photothermoelectric measurements, using a laser spot as a moveable heat source, have revealed local information about thermoelectric response in various materials. This work applies this to examine surprising thermoelectric variation in nominally simple single crystals of gold as well as individual grain boundaries between crystals. Abrupt grain boundaries have little effect on thermoelectric response. Instead, the Seebeck response correlates with crystallographic defects and strain associated with misorientation within the single crystals, detected via electron backscatter diffraction. Annealing reduces these thermoelectric signatures, presumably via relaxation of lattice distortions. These measurements show that minor structural defects in otherwise single-crystalline materials can have readily detectable thermoelectric consequences, a result with implications for many devices and material systems.
Abstract
The electronic Seebeck response in a conductor involves the energy-dependent mean free path of the charge carriers and is affected by crystal structure, scattering from boundaries and defects, and strain. Previous photothermoelectric (PTE) studies have suggested that the thermoelectric properties of polycrystalline metal nanowires are related to grain structure, although direct evidence linking crystal microstructure to the PTE response is difficult to elucidate. Here, we show that room temperature scanning PTE measurements are sensitive probes that can detect subtle changes in the local Seebeck coefficient of gold tied to the underlying defects and strain that mediate crystal deformation. This connection is revealed through a combination of scanning PTE and electron microscopy measurements of single-crystal and bicrystal gold microscale devices. Unexpectedly, the photovoltage maps strongly correlate with gradually varying crystallographic misorientations detected by electron backscatter diffraction. The effects of individual grain boundaries and differing grain orientations on the PTE signal are minimal. This scanning PTE technique shows promise for identifying minor structural distortions in nanoscale materials and devices.
The thermoelectric effect, in which a conducting material develops a voltage gradient when subjected to a temperature gradient, offers a promising method for energy conversion (1, 2) and photodetection (3⇓–5). The Seebeck coefficient, S, relates the voltage gradient,
Recent breakthroughs in the top–down fabrication of crystalline gold microstructures provide an additional means for studying the thermoelectric properties of metallic systems at the one- to few-grain level. These structures are prepared via the metal-on-insulator rapid melt growth process, which enables the direct preparation of high-quality single-crystal and bicrystal gold wires, consisting of two grains separated by an individual grain boundary, on thermally and electrically insulating amorphous oxide substrates (15, 16). These structures are lithographically patterned into wires and can be defined with single grain boundaries that bisect each wire. Leveraging this growth technique allows us to probe local thermoelectric behavior in model material systems that are grain boundary-free or possess a single grain boundary.
Here, we establish an unexpected strong connection between the photothermoelectric response and crystalline defects associated with small degrees of lattice curvature in single-crystal and bicrystal gold wires probed by electron backscatter diffraction (EBSD). The PTE photovoltage signal of the single-crystalline wires varies on the same length scales as the long-range intragranular misorientations. The PTE response at individual grain boundaries is undetectably small, demonstrating that S is much more sensitive to local geometric changes and microscale orientation variations than to abrupt single-plane defects like grain boundaries. Annealed devices demonstrate a 2.7× decrease in PTE response compared to unannealed devices, further confirming that distributions of dislocations and strain associated with microscale orientation variations beyond changes to granular structure can play a considerable role in the thermoelectric response of micro- and nanoscale devices. While uniform tuning of Seebeck response has previously been examined in macroscopic, polycrystalline wires (17⇓–19), the present measurements provide an additional perspective on local variations of S due to defects, dislocations, and strain.
Results and Discussion
We employ the scanning PTE microscope setup in Fig. 1A to probe the local thermoelectric response. The laser spot acts as a scannable heat source. Since the spot size is larger than the wire width, we can approximate the wire as one-dimensional, with the spot generating a temperature profile
Single-crystal gold wire. (A) Open-circuit PTE voltage is acquired as a function of laser spot position via lock-in measurements synced to laser modulation. (B) False-colored SEM image of a single-crystal gold device on a thermal oxide substrate. (Bottom Left Inset) Zoomed-in view of a single-crystal wire. (Bottom Right) Granular structure of a polycrystalline film. (C) EBSD maps corresponding to the device in B show the (111)-textured single-crystalline nature of the device. The EBSD maps show the local crystal directions (color coded in Inset) in the sample with respect to the z, y, and x axes, respectively, which are indicated by the arrows. (D and G) Two-dimensional maps of (Top) IGM angle and (Bottom) steady-state, integrated PTE voltage normalized per milliwatt of incident laser power overlaid on SEM from B and another representative single-crystal device, respectively. (E and H) Scatter plots of (Top) IGM angle and (Bottom) normalized PTE voltage as a function of laser position along the length of the wire, with a linear-in-position background subtracted to highlight the spatial variations (SI Appendix). The r values are 0.63 and 0.62, respectively, indicating a strong degree of linear correlation between the PTE voltages and IGM angles. (F and I) Scatter plots comparing the experimentally measured and simulated PTE response. (Insets) Examples of the local variation in Seebeck coefficient resulting in the PTE response simulated via finite-element modeling.
Fig. 1 D, Bottom shows the two-dimensional (2D) PTE photovoltage map corresponding to the single-crystalline wire in Fig. 1 B and C. The largest signal occurs at the interface of the contact pads and the wire, with each pad having similar voltage magnitudes but opposite polarity, consistent with the definition of the open-circuit voltage configuration shown in Fig. 1A. This is expected, as the interface of the pads and the wire should act as thermocouples due to the differences in S caused by a change in metal thickness and increased scattering at the contacts (9⇓–11). These contacts between the wire and the pads at each wire end introduce a small linear-in-position background in the PTE signal. In addition, the morphologically featureless device displayed in Fig. 1 B, Lower Left Inset produces small PTE signals that vary along the length of the wire on length scales comparable to the laser spot size (for reference, the pixel length is ∼0.5 μm, approximately 4× smaller than the laser FWHM). The variations in the PTE voltage indicate that the value of S changes along the length of the wire despite the uniform resistivity and the absence of any geometric variation, a regime where S would ordinarily be expected to be constant.
Structural character more subtle than the gross morphology (e.g., obvious defects, mechanical deformations) must be responsible for local variations in
The link between the IGM and PTE signal is clear in the scatter plots in Fig. 1E after averaging the signal in the 2D maps in Fig. 1D along the width of the wire. The linear-in-position PTE background mentioned above is subtracted from the PTE measurements to highlight deviations of the PTE signal. This background subtraction does not qualitatively change the results and enables correlation statistics (raw data displayed in SI Appendix, Fig. S2). The scatter plots of the two measurements show variations in signal in the same location with similar length scales, despite the resolution of the IGM measurements being much finer than the laser spot size. The Pearson correlation coefficient, r, was computed to determine the linear correlation between the PTE and IGM values using interpolated PTE values at even intervals determined by spline fitting. The r value of the dataset in Fig. 1E is 0.63, indicating a strong degree of linear correlation. This agreement between the PTE voltages and IGM values is seen consistently. Fig. 1 G and H shows the results of another single-crystal device with an r of 0.62.
The IGM measurements probe orientation variations that arise from sources including disclinations, dislocations, stacking faults, and strain along the length of the wire, demonstrating that the photovoltages are sensitive to defect accumulations that mediate low-angle lattice rotations. Due to the (111) texturing normal to the substrate, gradually varying orientation gradients manifest as very localized low-angle tilt boundaries in plane formed by arrays of dislocations (23). These low-angle rotations appear through the emergence and multiplication of dislocations that are accompanied by their own elastic fields. While the atomic structure cannot be resolved with a scanning electron beam, we measure the resultant angular deviations as a proxy for the presence of a combination of strain and defects. Strain and dislocation density in this system cannot be decoupled, but the combined effects affect the carrier transport properties that result in changes in S that can be detected via the PTE voltage technique.
With finite-element modeling, it is possible to model the changes in Seebeck coefficient required to produce the observed changes in photovoltage magnitude as a function of laser position, shown in Fig. 1 F and I. We perform modeling using COMSOL Multiphysics Joule Heating Physics, with details described in SI Appendix. We assign a spatially varying
To study the effect of individual grain boundaries on PTE signal, we examine bicrystal devices consisting of two grains bisected by a single grain boundary, approximately 80 μm in length. To highlight signal from the grain structure and reduce residual strain from fabrication, the devices were annealed at 400 °C for 1 h prior to measurement. Due to the length of the bicrystal devices, detailed IGM measurements are taken in a 20-μm window around the grain boundary, and each grain is analyzed independently against its own average orientation reference. Fig. 2A shows an SEM image of a bicrystal device overlaid with a 2D PTE voltage map, which has relatively little signal along the length of the device. The green dashed box in Fig. 2A, Inset indicates the window where we perform the EBSD and IGM analyses. The IGM map overlaid on the SEM shows there are still subtle variations in orientation around the grain boundary despite the lack of notable PTE voltage around the same area (Fig. 2A, Inset). Fig. 2B shows the EBSD maps of this device, with a
Annealed bicrystal gold wire. (A) Two-dimensional map of normalized PTE signal superimposed on a SEM image of a bicrystal device. (Inset) Two-dimensional IGM map overlaid on zoomed-in SEM image. (B) EBSD maps corresponding to the green dashed box in A, Inset. The bicrystal is (111) textured in the z axis and the x and y axes show a clear grain boundary. (C) Scatter plot of the normalized PTE signal along the length of the device. The gray shaded area corresponds to the green dashed box in A, Inset. (D) Scatter plots of PTE and IGM signal from the green dashed box in A, Inset. The grain boundary is marked by the blue dashed line. (E) Examples of simulated PTE profiles for an abrupt simple junction between metals of identical thermal conductivities but differing Seebeck coefficients
Fig. 2D compares the IGM and photovoltage measurements around the grain boundary, which is marked by the blue dashed line. The IGM data show a small degree of change in misorientation around the grain boundary, whereas the PTE photovoltage remains relatively low in signal, showing that individual abrupt grain boundaries do not behave detectably as thermocouples relative to the long-range misorientation. Finite-element simulations detail the change of S required to observe the PTE voltages observed in experiment (SI Appendix, Fig. S15), which implies that different grain orientations must have S values that differ by less than 0.013% (0.0002 μV/K) over 500 nm. Although the PTE response due to grain boundaries is negligible, the measurement is sensitive to long-range misorientation changes on either side of the boundary (SI Appendix, Fig. S3). These observations imply that the spatially varying
Unannealed bicrystals typically have larger PTE responses than annealed devices. Fig. 3 A–C and D–F compare the PTE voltage profiles of unannealed and annealed devices, respectively. The annealed devices were annealed at 400 °C for 1 h prior to measurement, as mentioned previously. Due to fragility of the wires arising from the lack of an adhesion layer between the crystals and substrate, the devices were either annealed or left unannealed prior to wire bonding on the chip carrier; the comparison is of unique devices. The profiles of the unannealed devices have, on average, greater spatial variation and signal magnitude than those of the annealed devices. In all of these cases, no notable change in PTE signal occurs at the grain boundary, marked by blue crosses in the maps and by blue dashed lines in the scatter plots. The maximum signals along the length of 19 unannealed and 13 annealed bicrystal devices of comparable dimensions and no gross morphological defects are compared in a histogram in Fig. 3G. The unannealed devices clearly contain larger PTE magnitudes than the annealed devices. Unannealed bicrystal devices have an average signal of
Comparison of unannealed and annealed bicrystals. (A–C) Normalized PTE voltage maps and scatter plots of three unannealed bicrystals. (D–F) PTE voltage maps and scatter plots of three annealed bicrystals. Blue crosses and blue dashed lines indicate the grain boundary position. On average, the PTE voltage profiles of the unannealed devices had greater spatial variation and larger magnitudes. (G) Histogram of maximum magnitude of signal in 19 unannealed (blue) and 13 annealed (red) bicrystal devices.
Additionally, consistent with prior work on single-metal thermocouples, the PTE technique can readily detect changes in S due to local geometric changes associated with changing metal thickness or width. Prominent morphological defects can overwhelm the more subtle structural effects detected above. SI Appendix, Fig. S6 depicts two crystalline wires with different morphological defects. Illuminating the defects results in signature changes in the PTE signal, which describes the change in Seebeck coefficient (SI Appendix, Figs. S10 and S11). SI Appendix, Fig. S7 A and B shows the SEM and EBSD images, respectively, of a polycrystalline wire with a large defect in device thickness. Although there are considerable changes in the granular structure of the device, the PTE response is dominated by the defect and no variation is observed due to the grain boundaries or intragranular features (SI Appendix, Fig. S7 C and D). Simulations, discussed at length in SI Appendix, suggest that the change in
Scanning PTE microscopy is a powerful tool that can provide insight on structural and electronic features within a microscale device. Performing measurements on single-crystal and bicrystal wires reveals nontrivial dependences of S on grain microstructure that are critical to understand in nanostructured thermoelectric materials. Mapping the PTE photovoltages can indicate locations where there are gradually varying misorientations, which necessarily indicates locations of strain and dislocations. Strong correlations exist between the measured photovoltages across single-crystal gold structures and corresponding intragranular misorientation profiles measured by EBSD. The analogous measurements performed on bicrystal gold structures reveal that abrupt higher-angle grain boundaries do not noticeably affect
Materials and Methods
Fabrication.
Gold single-crystal and bicrystal wires were synthesized on a thermally oxidized silicon substrate using the rapid melt growth process, detailed in previous publications (15, 16). The 100-nm-thick vapor-deposited gold microstructures along with 30-nm-thick platinum seeds were defined through a photolithography and lift-off process on 300 nm of thermal oxide. The metal system was encapsulated in an insulating low-pressure chemical vapor deposition (LPCVD) silicon dioxide crucible and heated in a rapid thermal annealing system to 1,080 °C, above gold’s melting point (1,064 °C), at a rate of 15 °C/s. After holding at 1,080 °C for 1 s, the metal system was cooled at a similar rate. During cooling, liquid epitaxial growth drove single-crystal solidification that nucleated from each seed. Microstructures seeded at one end yielded single crystals, while those seeded from both ends yielded bicrystals that were each bisected by a
Experiment.
A home-built scanning laser microscope was used to optically heat the device kept in a closed-cycle cryostat (Montana Instruments) under high vacuum at room temperature. A linearly polarized 785-nm CW laser diode with a maximum incident intensity of 700 mW/
SEM and EBSD maps were collected using an FEI Magellan 400 XHR and a Thermo Fisher Scientific Apreo S LoVac scanning electron microscope equipped with a Bruker Quantax e-Flash(HR) EBSD detector. EBSD maps were collected using an accelerating voltage of 25 kV at an incident angle of 70° from the substrate normal. The orientation data taken from the diffraction patterns were used to construct 2D IGM maps. EBSD orientation data were imported and analyzed using MTEX in MATLAB. The average orientation of each grain was computed and used as a reference orientation. The misorientation between a pixel’s orientation and the reference was computed for each pixel to yield the IGM maps. Due to the face-centered cubic (fcc) symmetry of gold, the misorientation is always a positive value. The pixel size of the EBSD and IGM maps was approximately 90 nm.
Simulations and Modeling.
Modeling was performed using COMSOL Multiphysics versions 5.3a and 5.4. The PTE measurements were implemented using Joule Heating Physics. Known optical properties for gold were used to calculate expected absorption of the laser spot. An equivalent Gaussian heat source was then applied to the modeled device structure, with appropriate thermal material properties and boundary conditions to find
Data Availability.
All data supporting the findings of this study are available in the main text, in SI Appendix, and/or at Zenodo (https://dx.doi.org/10.5281/zenodo.3901826) (csv, bmp, mph, m data).
Acknowledgments
We thank Kevin Kelly for helpful conversations and William D. Nix for contributing to the interpretation of the results. D.N. and C.I.E. acknowledge support from Robert A. Welch Foundation Grant C-1636. D.N., M.A., and X.W. acknowledge support from National Science Foundation (NSF) Award ECCS-1704625. J.A.F., L.T.G., R.Y., and R.T. acknowledge support from the NSF under Award 1804224, the Air Force Office of Scientific Research Multidisciplinary University Research Initiative under Award FA9550-16-1-0031, and the Packard Fellowship Foundation. R.Y. acknowledges support from Shanghai Sailing Program under Award 19YF1424900 and from University of Michigan–Shanghai Jiao Tong University Joint Institute in Shanghai Jiao Tong University. Part of this work was performed at the Stanford Nanofabrication Facility and the Stanford Nano Shared Facilities, supported by the NSF under Award ECCS-1542152.
Footnotes
↵1C.I.E., R.Y., and L.T.G. contributed equally to this work.
↵2Present address: University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
- ↵3To whom correspondence may be addressed. Email: natelson{at}rice.edu or jonfan{at}stanford.edu.
Author contributions: J.A.F. and D.N. designed research; C.I.E., R.Y., L.T.G., M.A., X.W., and R.T. performed research; C.I.E., L.T.G., and M.A. analyzed data; and C.I.E., L.T.G., J.A.F., and D.N. wrote the paper.
The authors declare no competing interest.
This article is a PNAS Direct Submission. E.T. is a guest editor invited by the Editorial Board.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2002284117/-/DCSupplemental.
Published under the PNAS license.
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