Kipton Barros
Los Alamos National Laboratory(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Physics of Superconductivity and Magnetism, Computational Drug Discovery Methods, Advanced Condensed Matter Physics, Protein Structure and Dynamics
Most-Cited Works
- → Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning(2019)644 cited
- → Solving lattice QCD systems of equations using mixed precision solvers on GPUs(2010)530 cited
- → Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens(2020)385 cited
- → The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules(2020)267 cited
- → Extending machine learning beyond interatomic potentials for predicting molecular properties(2022)145 cited
- → Discovering a Transferable Charge Assignment Model Using Machine Learning(2018)141 cited
- → Inferring low-dimensional microstructure representations using convolutional neural networks(2017)139 cited
- → Transferable Dynamic Molecular Charge Assignment Using Deep Neural Networks(2018)133 cited
- → Uncertainty-driven dynamics for active learning of interatomic potentials(2023)127 cited