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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.21900 |
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| _version_ | 1866908288219611136 |
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| author | Li, Shuai Das, Sree Sourav Wang, Haobo Bati, Sujit Balachandran, Prasanna V. Shiomi, Junichiro Floro, Jerrold A. Zebarjadi, Mona |
| author_facet | Li, Shuai Das, Sree Sourav Wang, Haobo Bati, Sujit Balachandran, Prasanna V. Shiomi, Junichiro Floro, Jerrold A. Zebarjadi, Mona |
| contents | Metallic thermoelectric materials are promising candidates for active cooling applications, where high thermal conductivity and a high thermoelectric power factor are essential to maximize effective thermal conductivity. While metals inherently possess high thermal and electrical conductivities, they typically exhibit low Seebeck coefficients. In this work, we create a database and apply machine learning techniques to identify metallic binary alloys with large Seebeck coefficients. Specifically, we identify Ni-Fe as a promising candidate for active cooling. We then fabricate Ni-Fe ingots and demonstrate thermoelectric power factor values as high as 120 μW/{cm.K^2} at 200 K for these stable alloys, which are composed of cost-effective and abundant elements. Furthermore, we show that the effective thermal conductivity of these alloys, under small temperature differences, can exceed that of pure copper at temperatures above 250 K. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_21900 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High thermoelectric power factor in Ni-Fe alloy for active cooling applications Li, Shuai Das, Sree Sourav Wang, Haobo Bati, Sujit Balachandran, Prasanna V. Shiomi, Junichiro Floro, Jerrold A. Zebarjadi, Mona Materials Science Metallic thermoelectric materials are promising candidates for active cooling applications, where high thermal conductivity and a high thermoelectric power factor are essential to maximize effective thermal conductivity. While metals inherently possess high thermal and electrical conductivities, they typically exhibit low Seebeck coefficients. In this work, we create a database and apply machine learning techniques to identify metallic binary alloys with large Seebeck coefficients. Specifically, we identify Ni-Fe as a promising candidate for active cooling. We then fabricate Ni-Fe ingots and demonstrate thermoelectric power factor values as high as 120 μW/{cm.K^2} at 200 K for these stable alloys, which are composed of cost-effective and abundant elements. Furthermore, we show that the effective thermal conductivity of these alloys, under small temperature differences, can exceed that of pure copper at temperatures above 250 K. |
| title | High thermoelectric power factor in Ni-Fe alloy for active cooling applications |
| topic | Materials Science |
| url | https://arxiv.org/abs/2503.21900 |