Machine learning potentials represent a transformative bridge between empirical force fields and fully fledged quantum-mechanical simulations, offering near ab initio accuracy at a fraction of the ...
A research team from the University of Xiamen has developed a machine learning potential specifically for Pt-water interfaces. This research harnessed machine learning molecular dynamics to uncover ...
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