Elastocaloric Thermal Battery : Ultrahigh Heat-Storage Capacity Based on Generative Learning-Designed Phase-Change Alloys
© 2025 Wiley‐VCH GmbH.
| Publié dans: | Advanced materials (Deerfield Beach, Fla.). - 1998. - (2025) vom: 06. Jan., Seite e2412198 |
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| Auteur principal: | |
| Autres auteurs: | , , , , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2025
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| Accès à la collection: | Advanced materials (Deerfield Beach, Fla.) |
| Sujets: | Journal Article generative learning inverse design phase change alloy thermal battery waste heat recycling |
| Résumé: | © 2025 Wiley‐VCH GmbH. An elastocaloric thermal battery based on generative learning-designed phase-change alloys is developed to facilitate the efficient recycling of low-temperature waste heat. This battery stores thermal energy as latent heat in a phase-change alloy and releases it on demand through applied stress at ambient temperature. Alloy compositions and corresponding processing parameters, tailored to desired transformation characteristics, are efficiently discovered through a generative learning-enabled inverse design framework, which converts the hand-drawn target heat flow curve into tangible compositional and processing designs. The designed battery achieves an ultrahigh figure of merit for heat storage capacity, surpassing existing thermal batteries, and boasts a work-to-heat efficiency exceeding 9. This opens up exciting possibilities for manipulating thermal energy in diverse applications such as low-temperature waste heat recycling, solar thermal collection, and heat management in electric vehicles and data center facilities. The inverse design framework promises to expedite the development of various materials with tailored property curves |
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| Description: | Date Revised 07.01.2025 published: Print-Electronic Citation Status Publisher |
| ISSN: | 1521-4095 |
| DOI: | 10.1002/adma.202412198 |