Adil Kabylda

1. Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
   2025/01/10 by Malte Esders, Thomas Schnake, Jonas Lederer +4 · 1 voice · 5 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Topic Modeling
2. Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023
   2025/01/01 by Igor Poltavsky, Anton Charkin-Gorbulin, Mirela Puleva +23 · 1 voice · 5 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Nuclear Materials and Properties
3. Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
   2024/10/17 by Malte Esders, Esders, Malte, Thomas Schnake +11 · 3 citations
   Chemistry · Computer Science · #Chemical Physics (physics.chem-ph) #Chemical Thermodynamics and Molecular Structure #Computational Drug Discovery Methods #FOS: Physical sciences #Various Chemistry Research Topics
4. Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields
   2025/08/31 by Adil Kabylda, J. Thorben Frank, Sergio Suarez Dou +6 · 1 voice · 5 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Computational Drug Discovery Methods