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1A transferable machine-learning scheme from pure metals to alloys for predicting adsorption energies
المؤلفون: Zhiwen Chen, Qing Jiang, Ze Yang, Wang Gao, Xin Li, Bo Li
المصدر: Journal of Materials Chemistry A. 10:872-880
مصطلحات موضوعية: Materials science, Valence (chemistry), Renewable Energy, Sustainability and the Environment, business.industry, Pure metals, Alloy, Intermetallic, General Chemistry, engineering.material, Machine learning, computer.software_genre, Catalysis, Electronegativity, Adsorption, Transition metal, engineering, General Materials Science, Artificial intelligence, business, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1c714a71083031002cdaf086098bfc9bTest
https://doi.org/10.1039/d1ta09184kTest -
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المؤلفون: Qing Jiang, Wang Gao, Ze Yang
المصدر: Journal of Materials Chemistry A. 8:17507-17515
مصطلحات موضوعية: Reaction mechanism, Materials science, Alloy, 02 engineering and technology, engineering.material, 010402 general chemistry, Machine learning, computer.software_genre, 01 natural sciences, Catalysis, Transition metal, General Materials Science, Electrochemical reduction of carbon dioxide, Renewable Energy, Sustainability and the Environment, business.industry, General Chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Mechanism (philosophy), engineering, Design process, Density functional theory, Artificial intelligence, 0210 nano-technology, business, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::59fc6169cdc10cba2fdbfe6fde7a6946Test
https://doi.org/10.1039/d0ta06203kTest