Samuel S. Schoenholz
OpenAI (United States)(US)
Publications by Year
Research Areas
Neural Networks and Applications, Material Dynamics and Properties, Machine Learning in Materials Science, Model Reduction and Neural Networks, Advanced Neural Network Applications
Most-Cited Works
- → Neural Message Passing for Quantum Chemistry(2017)2,978 cited
- → Scaling deep learning for materials discovery(2023)1,040 cited
- → Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error(2017)675 cited
- → A structural approach to relaxation in glassy liquids(2016)450 cited
- → Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods(2015)436 cited
- → Deep Neural Networks as Gaussian Processes(2017)335 cited
- → Unveiling the predictive power of static structure in glassy systems(2020)328 cited
- → Structure-property relationships from universal signatures of plasticity in disordered solids(2017)310 cited