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Main Authors: Zhang, Xinglong, Tan, Huiwen, Liu, Jingyi, Li, Zihan, Wang, Lewen, Chen, Benjamin W. J.
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.20042
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author Zhang, Xinglong
Tan, Huiwen
Liu, Jingyi
Li, Zihan
Wang, Lewen
Chen, Benjamin W. J.
author_facet Zhang, Xinglong
Tan, Huiwen
Liu, Jingyi
Li, Zihan
Wang, Lewen
Chen, Benjamin W. J.
contents CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular modeling. By integrating job preparation, submission, execution, results analysis, and visualization, CHEMSMART addresses the inefficiencies of manual workflow management in computational chemistry by ensuring seamless interoperability with quantum chemistry packages and cheminformatics platforms. Its modular architecture supports automated job submission and execution tasks for geometry optimization, transition state searches, thermochemical analysis, and non-covalent interaction plotting, while auxiliary scripts facilitate file conversion, data organization, and electronic structure analysis. Future developments aim to expand compatibility with additional software, incorporate QM/MM and classical MD, and align with FAIR data principles for enhanced reproducibility and data reuse. Available on GitHub, CHEMSMART empowers researchers with a robust, user-friendly platform for efficient and reproducible computational chemistry.
format Preprint
id arxiv_https___arxiv_org_abs_2508_20042
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
Zhang, Xinglong
Tan, Huiwen
Liu, Jingyi
Li, Zihan
Wang, Lewen
Chen, Benjamin W. J.
Chemical Physics
Computational Physics
CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular modeling. By integrating job preparation, submission, execution, results analysis, and visualization, CHEMSMART addresses the inefficiencies of manual workflow management in computational chemistry by ensuring seamless interoperability with quantum chemistry packages and cheminformatics platforms. Its modular architecture supports automated job submission and execution tasks for geometry optimization, transition state searches, thermochemical analysis, and non-covalent interaction plotting, while auxiliary scripts facilitate file conversion, data organization, and electronic structure analysis. Future developments aim to expand compatibility with additional software, incorporate QM/MM and classical MD, and align with FAIR data principles for enhanced reproducibility and data reuse. Available on GitHub, CHEMSMART empowers researchers with a robust, user-friendly platform for efficient and reproducible computational chemistry.
title CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
topic Chemical Physics
Computational Physics
url https://arxiv.org/abs/2508.20042