
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.
Playback language: English
Related Publications
Explore these studies to deepen your understanding of the subject.