Authors present MatterSim, a deep learning model actively learned from large-scale first-principles computations, for efficient atomistic simulations at first-principles level and accurate prediction of broad material properties across the periodic table, spanning temperatures from 0 to 5000 K and pressures up to 1000 GPa.
https://arxiv.org/abs/2405.04967
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Good read. Well written, very detailed and thorough. Great contribution.