Coarse-grained molecular models of proteins permit access to length and ...
Sampling the phase space of molecular systems – and, more generally, of
...
Small integration time steps limit molecular dynamics (MD) simulations t...
State-free reversible VAMPnets (SRVs) are a neural network-based framewo...
Time-lagged autoencoders (TAEs) have been proposed as a deep learning
re...
The success of enhanced sampling molecular simulations that accelerate a...
Macromolecular and biomolecular folding landscapes typically contain hig...
Diffusion maps are a nonlinear manifold learning technique based on harm...