Elana J. Cope , Joana Bustamante , Zöe M. Johnson , Alicia Lancaster , Ramya Gurunathan , Janine George , Matthias T. Agne
{"title":"能源技术中复杂材料的热容估算","authors":"Elana J. Cope , Joana Bustamante , Zöe M. Johnson , Alicia Lancaster , Ramya Gurunathan , Janine George , Matthias T. Agne","doi":"10.1016/j.joule.2025.102054","DOIUrl":null,"url":null,"abstract":"<div><div>Heat capacity, which directly relates to free energy changes and thermal transport, is fundamental to modern engineering design. Even though current computational technology provides a detailed picture of atomic vibrations, the Debye and Dulong-Petit models are still widely utilized despite being prone to lower accuracy. Modern considerations of vibrational states, anharmonicity, electronic carriers, and phase transformations could improve estimates. Herein, the physics-based vibrational + dilation + electronic (VDE) model incorporates a user-provided phonon density of states, a phonon pressure-based dilation term, and an electronic component. Phonon density of states from analytical, machine-learned, and first-principles methods are compared, thus highlighting the advantages of machine-learned technology. Heat capacity estimates for 38 diverse materials are often within 5% of experimental values between 200 and 600 K. Detailed temperature-dependent investigations are carried out for several materials, including <span><math><mrow><mtext>LiCo</mtext><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, ZIF-8, <span><math><msub><mtext>Mg</mtext><mtext>3</mtext></msub><msub><mtext>Sb</mtext><mtext>2</mtext></msub></math></span>, polyvinyl chloride (PVC), and amorphous silicon. <span><math><mrow><mi>C</mi><msub><mi>u</mi><mn>2</mn></msub></mrow></math></span>Se is modeled through its phase transition, which further demonstrates the model’s capabilities to enable engineering design and sophisticated analysis.</div></div>","PeriodicalId":343,"journal":{"name":"Joule","volume":"9 8","pages":"Article 102054"},"PeriodicalIF":35.4000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heat capacity estimation of complex materials for energy technologies\",\"authors\":\"Elana J. Cope , Joana Bustamante , Zöe M. Johnson , Alicia Lancaster , Ramya Gurunathan , Janine George , Matthias T. Agne\",\"doi\":\"10.1016/j.joule.2025.102054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Heat capacity, which directly relates to free energy changes and thermal transport, is fundamental to modern engineering design. Even though current computational technology provides a detailed picture of atomic vibrations, the Debye and Dulong-Petit models are still widely utilized despite being prone to lower accuracy. Modern considerations of vibrational states, anharmonicity, electronic carriers, and phase transformations could improve estimates. Herein, the physics-based vibrational + dilation + electronic (VDE) model incorporates a user-provided phonon density of states, a phonon pressure-based dilation term, and an electronic component. Phonon density of states from analytical, machine-learned, and first-principles methods are compared, thus highlighting the advantages of machine-learned technology. Heat capacity estimates for 38 diverse materials are often within 5% of experimental values between 200 and 600 K. Detailed temperature-dependent investigations are carried out for several materials, including <span><math><mrow><mtext>LiCo</mtext><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, ZIF-8, <span><math><msub><mtext>Mg</mtext><mtext>3</mtext></msub><msub><mtext>Sb</mtext><mtext>2</mtext></msub></math></span>, polyvinyl chloride (PVC), and amorphous silicon. <span><math><mrow><mi>C</mi><msub><mi>u</mi><mn>2</mn></msub></mrow></math></span>Se is modeled through its phase transition, which further demonstrates the model’s capabilities to enable engineering design and sophisticated analysis.</div></div>\",\"PeriodicalId\":343,\"journal\":{\"name\":\"Joule\",\"volume\":\"9 8\",\"pages\":\"Article 102054\"},\"PeriodicalIF\":35.4000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Joule\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2542435125002351\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joule","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542435125002351","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Heat capacity estimation of complex materials for energy technologies
Heat capacity, which directly relates to free energy changes and thermal transport, is fundamental to modern engineering design. Even though current computational technology provides a detailed picture of atomic vibrations, the Debye and Dulong-Petit models are still widely utilized despite being prone to lower accuracy. Modern considerations of vibrational states, anharmonicity, electronic carriers, and phase transformations could improve estimates. Herein, the physics-based vibrational + dilation + electronic (VDE) model incorporates a user-provided phonon density of states, a phonon pressure-based dilation term, and an electronic component. Phonon density of states from analytical, machine-learned, and first-principles methods are compared, thus highlighting the advantages of machine-learned technology. Heat capacity estimates for 38 diverse materials are often within 5% of experimental values between 200 and 600 K. Detailed temperature-dependent investigations are carried out for several materials, including , ZIF-8, , polyvinyl chloride (PVC), and amorphous silicon. Se is modeled through its phase transition, which further demonstrates the model’s capabilities to enable engineering design and sophisticated analysis.
期刊介绍:
Joule is a sister journal to Cell that focuses on research, analysis, and ideas related to sustainable energy. It aims to address the global challenge of the need for more sustainable energy solutions. Joule is a forward-looking journal that bridges disciplines and scales of energy research. It connects researchers and analysts working on scientific, technical, economic, policy, and social challenges related to sustainable energy. The journal covers a wide range of energy research, from fundamental laboratory studies on energy conversion and storage to global-level analysis. Joule aims to highlight and amplify the implications, challenges, and opportunities of novel energy research for different groups in the field.