Alexandria Chemistry Toolkit User & Reference Manual

The Alexandria Chemistry Toolkit (ACT) allows for global optimization of force fields for molecular simulation. That means that, in principle, a whole force field can be derived at once by training parameters to reproduce results from ab initio or density functional theory as well as experimental data when available. The software will be released in the near future on https://github.com/alexandriachemistry

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-13
DOI
https://doi.org/10.5281/zenodo.15020366
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Alexandria Chemistry Toolkit User & Reference Manual

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Alexandria Chemistry Toolkit User & Reference Manual

article en

Abstract

The Alexandria Chemistry Toolkit (ACT) allows for global optimization of force fields for molecular simulation. That means that, in principle, a whole force field can be derived at once by training parameters to reproduce results from ab initio or density functional theory as well as experimental data when available. The software will be released in the near future on https://github.com/alexandriachemistry

Zenodo (CERN European Organization for Nuclear Research)
Uppsala University (SE), Yale University (US)
Openalex Percentile: Top 62%
Machine Learning in Materials Science
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Alexandria Chemistry Toolkit User & Reference Manual · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS