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Machine learned force-fields for an Ab-initio quality description of metal-organic frameworks

Engineering and Technology

Machine learned force-fields for an Ab-initio quality description of metal-organic frameworks

S. Wieser and E. Zojer

This groundbreaking research, conducted by Sandro Wieser and Egbert Zojer, unveils a novel strategy for developing machine-learned force fields that achieve near-DFT accuracy in modeling metal-organic frameworks, paving the way for more efficient computational modeling in this field.

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