Development of Deep Potentials of Molten MgCl<sub>2</sub>-NaCl and MgCl<sub>2</sub>-KCl Salts Driven by Machine Learning.

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作者： Tingrui,Xu ^[1] ; Xuejiao,Li ^[2] ; Yang,Wang ^[1] ; Zhongfeng,Tang ^[2]

作者单位： Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China. ^[1] University of Chinese Academy of Sciences, Beijing 100049, China. ^[2] Key Laboratory of Interfacial Physics and Technology, Chinese Academy of Sciences, Shanghai 201800, China. ^[3] Dalian National Laboratory for Clean Energy, Dalian 116023, China. ^[4]

关键词 deep potential machine learning molecular dynamics molten MgCl2-based chlorides thermophysical properties

DOI 10.1021/acsami.2c19272

PMID 36881968

发布时间 2024-02-16

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ACS applied materials & interfaces

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Development of Deep Potentials of Molten MgCl<sub>2</sub>-NaCl and MgCl<sub>2</sub>-KCl Salts Driven by Machine Learning.

ACS applied materials & interfaces

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Development of Deep Potentials of Molten MgCl<sub>2</sub>-NaCl and MgCl<sub>2</sub>-KCl Salts Driven by Machine Learning.

ACS applied materials & interfaces

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ACS applied materials & interfaces

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