An Imbalance in the Force: The Need for Standardized Benchmarks for Molecular Simulation
Kristian Kříž1, Lisa Schmidt2, Alfred T Andersson1
1Department of Cell and Molecular Biology, Uppsala University, Box 596, SE-75124Uppsala, Sweden.
Journal of Chemical Information and Modeling
|January 11, 2023
Summary
This study reviews benchmarks for molecular simulation force fields (FFs). Adopting standardized datasets can improve the comparison and development of FFs for computational chemistry.
Area of Science:
- Computational Chemistry
- Molecular Simulation
- Cheminformatics
Background:
- Force fields (FFs) are crucial for molecular simulation but lack standardized benchmarks for rigorous testing.
- Current FF development often relies on proprietary training and test sets, hindering model comparison.
- Existing benchmarks are common in quantum chemistry but less so for empirical FFs.
Purpose of the Study:
- To provide an overview of available tests and benchmarks for computational chemistry, focusing on organic compounds, halogens, and ions.
- To assess the reusability of quantum chemistry benchmark datasets for evaluating FFs.
- To identify data needs for improving FF development and validation.
Main Methods:
- Literature review of existing computational chemistry benchmarks.
- Analysis of applicability of quantum chemistry datasets for FF evaluation.
- Identification of data gaps for specific chemical elements and properties.
Main Results:
- Many quantum chemistry benchmarks can be adapted for FF evaluation.
- New gas-phase data are needed for phosphorus and sulfur compounds in various valence states.
- Enhanced data on nonequilibrium interactions and molecular properties like electrostatic potentials are beneficial.
Conclusions:
- Standardized benchmarks are essential for comparing and improving molecular simulation force fields.
- Reusing existing quantum chemistry data and generating new data for specific elements can advance FF development.
- Adoption of common datasets by FF developers and AI researchers will facilitate model comparison and progress.
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