Constructing Accurate and Efficient General-Purpose Atomistic Machine Learning Model with Transferable Accuracy for Quantum Chemistry
Keywords: quantum chemistry; equivariant neural network; atomistic machine learning
Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 8th 2024, I specify the DOI in the field below, and I submit the camera-ready version of the paper.
DOI: https://doi.org/10.1021/acs.jctc.4c01151
Submission Number: 7
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