dpti: An Automated Thermodynamic Integration Workflow for Phase Diagram Calculations with Machine Learning Interatomic Potentials
Fengbo Yuan, Xin Zhong, Donghao Zheng, Jinzhe Zeng et autres
0 citationsarXiv (Cornell University)
Fengbo Yuan
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15Publications signalées
705Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Machine Learning in Materials SciencePhase Equilibria and ThermodynamicsHigh-pressure geophysics and materialsMaterial Dynamics and PropertiesAdditive Manufacturing Materials and Processes
Publications récentes
dpti: An Automated Thermodynamic Integration Workflow for Phase Diagram Calculations with Machine Learning Interatomic Potentials
Fengbo Yuan, Xin Zhong, Donghao Zheng, Jinzhe Zeng et autres
0 citationsarXiv (Cornell University)
Atomic-scale theory of robust out-of-plane ferroelectricity in ultrathin films
Fengbo Yuan, Yujia Teng, Karin M. Rabe, Yubo Qi
0 citationsarXiv (Cornell University)
Mechanistic model for estimating specific energy consumption and efficiency of hot-wire laser welding process
Haiying Wei, Songjun Wang, Fengbo Yuan
0 citationsThe International Journal of Advanced Manufacturing Technology
DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science
Fengbo Yuan, Yun‐Pei Liu, Kai Cao, Jiahao Fan et autres
2 citationsJournal of Chemical Information and Modeling
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets
Jinzhe Zeng, Xulong Peng, Yong‐Bin Zhuang, Haidi Wang et autres
9 citationsJournal of Chemical Information and Modeling
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, Denghui Lu, Pinghui Mo et autres
596 citationsThe Journal of Chemical Physics
Modeling the high-pressure solid and liquid phases of tin from deep potentials with ab initio accuracy
Tao Chen, Fengbo Yuan, Jianchuan Liu, Hua-Yun Geng et autres
21 citationsPhysical Review Materials
DeePMD-kit v2: A software package for Deep Potential models
Jinzhe Zeng, Duo Zhang, Denghui Lu, Pinghui Mo et autres
15 citationsarXiv (Cornell University)
Modeling the High-Pressure Solid and Liquid Phases of Tin from Deep Potentials with ab initio Accuracy
Tao Chen, Fengbo Yuan, Jianchuan Liu, Hua-Yun Geng et autres
3 citationsarXiv (Cornell University)
Energy efficiency evaluation of metal laser direct deposition based on process characteristics and empirical modeling
Wen Liu, Haiying Wei, Chu Huang, Fengbo Yuan et autres
22 citationsThe International Journal of Advanced Manufacturing Technology
Acute liver damage induced by mesalazine enteric-coated tablets
0 citations药物不良反应杂志
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