NTL-9

The NTL9 dataset is used to evaluate the effectiveness of random nonlinear projections in compressing large feature spaces while retaining essential information for molecular dynamics simulations, specifically in the context of protein folding.

Papers using NTL-9 (3)

Random functions as data compressors for machine learning of molecular processes2025Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials2024 · 7 citesLearning data efficient coarse-grained molecular dynamics from forces and noise2024 · 2 cites