Sajid Mannan

1. EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
   2023/10/03 by Vaibhav Bihani, Bihani, Vaibhav, Utkarsh Pratiush +17 · 4 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Topic Modeling
2. Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
   2025/08/07 by Sajid Mannan, Mannan, Sajid, Vaibhav Bihani +13 · 1 voice · 4 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
3. Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials
   2025/02/05 by Santiago Miret, Kin Long Kelvin Lee, Miret, Santiago +7 · 2 citations
   Materials Science · #Machine Learning in Materials Science
4. AI scientists produce results without reasoning scientifically
   2026/04/20 by Martiño Ríos-García, Nawaf Alampara, Chandan Gupta +5 · 6 voices
   #cs.AI #cond-mat.mtrl-sci #cs.LG