Chong, Sanggyu
- A foundation model for atomistic materials chemistry
2023/12/29 by Ilyes Batatia, Philipp Benner, Batatia, Ilyes +182 · 5 voices · 134 citations
Materials Science · Decision Sciences · #physics.chem-ph #cond-mat.mtrl-sci
- A prediction rigidity formalism for low-cost uncertainties in trained neural networks
2024/03/04 by Filippo Bigi, Sanggyu Chong, Bigi, Filippo +5 · 5 citations
Engineering · Computer Science · #Fault Detection and Control Systems #Neural Networks and Applications #Anomaly Detection Techniques and Applications
- Uncertainty in the era of machine learning for atomistic modeling
2025/03/12 by Federico Grasselli, Sanggyu Chong, Grasselli, Federico +7 · 5 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Advanced Materials Characterization Techniques #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Machine Learning in Materials Science
- Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning
2025/08/21 by Filippo Bigi, Bigi, Filippo, Joseph W. Abbott +27 · 1 voice · 4 citations
#physics.chem-ph
- FlashMD: long-stride, universal prediction of molecular dynamics
2025/05/15 by Filippo Bigi, Bigi, Filippo, Sanggyu Chong +5 · 5 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Various Chemistry Research Topics