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PyMEDA:A Unified Python Framework for Multiscale Energy Decomposition Analysis
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作者 Xuewei Xiong Xingyuan Lu +4 位作者 Yueyang Zhang Zijing Wu fuming ying Wei Wu Peifeng Su 《Chinese Journal of Chemical Physics》 2026年第2期171-181,I0001-I0050,I0169,共62页
Energy decomposition analysis(EDA)has become a powerful approach for elucidating chemi-cal bonding and non-covalent interactions,especially in com-plex and multiscale systems.Embedding strategies combin-ing high-level... Energy decomposition analysis(EDA)has become a powerful approach for elucidating chemi-cal bonding and non-covalent interactions,especially in com-plex and multiscale systems.Embedding strategies combin-ing high-level quantum chemi-cal methods with more approxi-mate treatments of the environ-ment provide a promising bal-ance between accuracy and effi-ciency,yet existing embedding schemes of EDA approaches im-plementations are often frag-mented and software-depen-dent.To address this challenge,we present PyMEDA,a unified,open-source interface framework for multiscale energy decomposition analysis.Through a modular design,PyMEDA standardizes interfaces to diverse quantum mechanical,molecular mechanics,and semi-empirical backends(initially XEDA,OpenMM,and xtb),enabling the unified implementation of workflows for both conventional and embedding-type EDA schemes,such as DM-EDA(QM/MM)and DM-EDA(EB).By providing extensibility,repro-ducibility,and automation,PyMEDA offers a flexible environment to advance multiscale in-teraction analysis and facilitates the future development of embedding-based EDA methods. 展开更多
关键词 Energy decomposition analysis Embedding theory Software development
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