Tuesday, June 9, 2020

Machine learning predicts nanoparticles' structure and dynamics

Researchers have demonstrated that new distance-based machine learning methods are capable of predicting structures and atomic dynamics of nanoparticles reliably. The new methods are significantly faster than traditional simulation methods used for nanoparticle research and will facilitate more efficient explorations of particle-particle reactions and particles' functionality in their environment.

from Latest Science News -- ScienceDaily https://ift.tt/2BKYMoQ

No comments:

Post a Comment

Satellites spot rapid “Doomsday Glacier” collapse

Two decades of satellite and GPS data show the Thwaites Eastern Ice Shelf slowly losing its grip on a crucial stabilizing point as fractures...