DOE OSTI · code-127678
Interpretable, Extensible Linear Regression Model for Electron Density Prediction
Abstract
This code allows us to generate a model to predict ground state electron densities directly from atomic structure thereby bypassing the need to perform direct DFT calculations. It is based on many body correlation descriptors defined in https://arxiv.org/abs/2004.14442 (IM release numbers: LLNL-JRNL- 808791 and LLNL-JRNL-840698). The code reads in electron densities, in CHGCAR format used by the DFT code VASP, calculates many-body correlation descriptors based on atoms surrounding a grid point and then uses linear regression to obtain the fitting parameters.
Keep this discovery
Explore connections, maps & timelines
Kumar, Shashikant, Samanta, Amit. 2023-07-31. Interpretable, Extensible Linear Regression Model for Electron Density Prediction. https://doi.org/10.11578/dc.20240528.1
Cite the original work for its findings. Save a collection to share your selection of sources.