Huziel E. Sauceda
Universidad Nacional Autónoma de México(MX)
Publications by Year
Research Areas
Machine Learning in Materials Science, Protein Structure and Dynamics, Computational Drug Discovery Methods, Gold and Silver Nanoparticles Synthesis and Applications, nanoparticles nucleation surface interactions
Most-Cited Works
- → SchNet – A deep learning architecture for molecules and materials(2018)2,101 cited
- → Machine learning of accurate energy-conserving molecular force fields(2017)1,192 cited
- → SchNet: A continuous-filter convolutional neural network for modeling quantum interactions(2017)470 cited
- → SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects(2021)307 cited
- → sGDML: Constructing accurate and data efficient molecular force fields using machine learning(2019)237 cited
- → Accurate global machine learning force fields for molecules with hundreds of atoms(2023)158 cited
- → Mechanical Vibrations of Atomically Defined Metal Clusters: From Nano- to Molecular-Size Oscillators(2018)79 cited
- → Vibrational Properties of Metal Nanoparticles: Atomistic Simulation and Comparison with Time-Resolved Investigation(2012)73 cited
- → BIGDML—Towards accurate quantum machine learning force fields for materials(2022)73 cited