纳米孔
可转让性
纳米技术
材料科学
分子动力学
多样性(控制论)
领域(数学)
计算机科学
化学
计算化学
数学
机器学习
罗伊特
人工智能
纯数学
作者
Randall T. Cygan,Jeffery A. Greathouse,Andrey G. Kalinichev
标识
DOI:10.1021/acs.jpcc.1c04600
摘要
As a general-purpose force field for molecular simulations of layered materials and their fluid interfaces, Clayff continues to see broad usage in atomistic computational modeling for numerous geoscience and materials science applications due to its (1) success in predicting properties of bulk nanoporous materials and their interfaces, (2) transferability to a range of layered and nanoporous materials, and (3) simple functional form which facilitates incorporation into a variety of simulation codes. Here, we review applications of Clayff to model bulk phases and interfaces not included in the original parameter set and recent modifications for modeling surface terminations such as hydroxylated nanoparticle edges. We conclude with a discussion of expectations for future developments.
科研通智能强力驱动
Strongly Powered by AbleSci AI