The DOI matches its Crossref record; 182 of the 182 references it cites were found in a registry or an index.
Thermoelectric Generation Based on Spin Seebeck Effects
Open accessAbstract
The spin Seebeck effect (SSE) refers to the generation of a spin current as a result of a temperature gradient in magnetic materials including insulators. The SSE is applicable to thermoelectric generation because the thermally generated spin current can be converted into a charge current via spin-orbit interaction in conductive materials adjacent to the magnets. The insulator-based SSE device exhibits unconventional characteristics potentially useful for thermoelectric applications, such as simple structure, device-design flexibility, and convenient scaling capability. In this article, we review recent studies on the SSE from the viewpoint of thermoelectric applications. Firstly, we introduce the thermoelectric generation process and measurement configuration of the SSE, followed by showing fundamental characteristics of the SSE device. Secondly, a theory of the thermoelectric conversion efficiency of the SSE device is presented, which clarifies the difference between the SSE and conventional thermoelectric effects and the efficiency limit of the SSE device. Finally, we show preliminary demonstrations of the SSE in various device structures for future thermoelectric applications and discuss prospects of the SSE-based thermoelectric technologies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spintronics: A Spin-Based Electronics Vision for the Future
Wolf, S. A., Awschalom, D. D., Buhrman, R. A., Daughton, J. M., von Molnár, S., Roukes, M. L., Chtchelkanova, A. Y., & Treger, D. M. (2001) · Science · doi:10.1126/science.1065389 · Cited by 11,442
Spintronics: Fundamentals and applications
Žutić, I., Fabian, J., & Das Sarma, S. (2004) · Reviews of Modern Physics · doi:10.1103/revmodphys.76.323 · Cited by 11,268
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Cooling, Heating, Generating Power, and Recovering Waste Heat with Thermoelectric Systems
Bell, L. E. (2008) · Science · doi:10.1126/science.1158899 · Cited by 6,082
CRC Handbook of Thermoelectrics
(2018) · CRC Press eBooks · doi:10.1201/9781420049718 · Cited by 5,787
High-Thermoelectric Performance of Nanostructured Bismuth Antimony Telluride Bulk Alloys
Poudel, B., Hao, Q., Ma, Y., Lan, Y., Minnich, A., Yu, B., Yan, X., Wang, D., Muto, A., Vashaee, D., et al. (2008) · Science · doi:10.1126/science.1156446 · Cited by 5,606
Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals
Zhao, L.-D., Lo, S.-H., Zhang, Y., Sun, H., Tan, G., Uher, C., Wolverton, C., Dravid, V. P., & Kanatzidis, M. G. (2014) · Nature · doi:10.1038/nature13184 · Cited by 5,218
Progress, Challenges, and Opportunities in Two-Dimensional Materials Beyond Graphene
Butler, S. Z., Hollen, S. M., Cao, L., Cui, Y., Gupta, J. A., Gutiérrez, H. R., Heinz, T. F., Hong, S. S., Huang, J., Ismach, A. F., et al. (2013) · ACS Nano · doi:10.1021/nn400280c · Cited by 4,878
Enhanced thermoelectric performance of rough silicon nanowires
Hochbaum, A. I., Chen, R., Delgado, R. D., Liang, W., Garnett, E. C., Najarian, M., Majumdar, A., & Yang, P. (2008) · Nature · doi:10.1038/nature06381 · Cited by 4,109
Effect of quantum-well structures on the thermoelectric figure of merit
Hicks, L. D., & Dresselhaus, M. S. (1993) · Physical Review B · doi:10.1103/physrevb.47.12727 · Cited by 3,749
Cited by
Spintronic devices for energy-efficient data storage and energy harvesting
Puebla, J., Kim, J., Kondou, K., & Otani, Y. (2020) · Communications Materials · doi:10.1038/s43246-020-0022-5 · Cited by 303
Metadata
- Authors
- Uchida, K.-I., Adachi, H., Kikkawa, T., Kirihara, A., Ishida, M., Yorozu, S., Maekawa, S., & Saitoh, E.
- Venue
- Proceedings of the IEEE
- Published
- 2016-10
- Volume
- 104
- Issue
- 10
- Pages
- 1946-1973
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2339925851
- Cited by
- 308
- References
- 182
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Thermoelectric Generation Based on Spin Seebeck Effects. https://app.cochat.ai/papers/10.1109/jproc.2016.2535167
- The paper
- Uchida, K.-I., Adachi, H., Kikkawa, T., Kirihara, A., Ishida, M., Yorozu, S., Maekawa, S., & Saitoh, E. (2016). Thermoelectric Generation Based on Spin Seebeck Effects. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2016.2535167
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.