High entropy powering green energy: hydrogen, batteries, electronics, and catalysis
Abstract A reformation in energy is underway to replace fossil fuels with renewable sources, driven by the development of new, robust, and multi-functional materials. High-entropy materials (HEMs) have emerged as promising candidates for various green energy applications, having unusual chemistries...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01594-6 |
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| _version_ | 1850125475636051968 |
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| author | Guotao Qiu Tianhao Li Xiao Xu Yuxiang Liu Maya Niyogi Katie Cariaga Corey Oses |
| author_facet | Guotao Qiu Tianhao Li Xiao Xu Yuxiang Liu Maya Niyogi Katie Cariaga Corey Oses |
| author_sort | Guotao Qiu |
| collection | DOAJ |
| description | Abstract A reformation in energy is underway to replace fossil fuels with renewable sources, driven by the development of new, robust, and multi-functional materials. High-entropy materials (HEMs) have emerged as promising candidates for various green energy applications, having unusual chemistries that give rise to remarkable functionalities. This review examines recent innovations in HEMs, focusing on hydrogen generation/storage, fuel cells, batteries, semiconductors/electronics, and catalysis—where HEMs have demonstrated the ability to outperform state-of-the-art materials. We present new master plots that illustrate the superior performance of HEMs compared to conventional systems for hydrogen generation/storage and heat-to-electricity conversion. We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. The review also presents current challenges and proposes future directions for the field. We emphasize the need for continued integration of modeling, data, and experiments to investigate and leverage the underlying mechanisms of the HEMs that are powering progress in sustainable energy. |
| format | Article |
| id | doaj-art-50d88d96915b4d8f835d94d033aeda7a |
| institution | OA Journals |
| issn | 2057-3960 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Computational Materials |
| spelling | doaj-art-50d88d96915b4d8f835d94d033aeda7a2025-08-20T02:34:07ZengNature Portfolionpj Computational Materials2057-39602025-05-0111112110.1038/s41524-025-01594-6High entropy powering green energy: hydrogen, batteries, electronics, and catalysisGuotao Qiu0Tianhao Li1Xiao Xu2Yuxiang Liu3Maya Niyogi4Katie Cariaga5Corey Oses6Department of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityDepartment of Materials Science and Engineering, Johns Hopkins UniversityAbstract A reformation in energy is underway to replace fossil fuels with renewable sources, driven by the development of new, robust, and multi-functional materials. High-entropy materials (HEMs) have emerged as promising candidates for various green energy applications, having unusual chemistries that give rise to remarkable functionalities. This review examines recent innovations in HEMs, focusing on hydrogen generation/storage, fuel cells, batteries, semiconductors/electronics, and catalysis—where HEMs have demonstrated the ability to outperform state-of-the-art materials. We present new master plots that illustrate the superior performance of HEMs compared to conventional systems for hydrogen generation/storage and heat-to-electricity conversion. We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. The review also presents current challenges and proposes future directions for the field. We emphasize the need for continued integration of modeling, data, and experiments to investigate and leverage the underlying mechanisms of the HEMs that are powering progress in sustainable energy.https://doi.org/10.1038/s41524-025-01594-6 |
| spellingShingle | Guotao Qiu Tianhao Li Xiao Xu Yuxiang Liu Maya Niyogi Katie Cariaga Corey Oses High entropy powering green energy: hydrogen, batteries, electronics, and catalysis npj Computational Materials |
| title | High entropy powering green energy: hydrogen, batteries, electronics, and catalysis |
| title_full | High entropy powering green energy: hydrogen, batteries, electronics, and catalysis |
| title_fullStr | High entropy powering green energy: hydrogen, batteries, electronics, and catalysis |
| title_full_unstemmed | High entropy powering green energy: hydrogen, batteries, electronics, and catalysis |
| title_short | High entropy powering green energy: hydrogen, batteries, electronics, and catalysis |
| title_sort | high entropy powering green energy hydrogen batteries electronics and catalysis |
| url | https://doi.org/10.1038/s41524-025-01594-6 |
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