Learning from data has led to substantial advances in a multitude of
dis...
Molecular dynamics (MD) simulations allow atomistic insights into chemic...
Machine-learning force fields (MLFF) should be accurate, computationally...
In recent years, the use of Machine Learning (ML) in computational chemi...
Machine learning (ML) is transforming all areas of science. The complex ...
Deep Learning has been shown to learn efficient representations for
stru...
With the rise of deep neural networks for quantum chemistry applications...
Deep learning has the potential to revolutionize quantum chemistry as it...
We introduce a machine learning model to predict atomization energies of...