Iryna Zaporozhets

1. Scalable emulation of protein equilibrium ensembles with generative deep learning
   2024/12/05 by Sarah Lewis, Tim Hempel, José Jiménez-Luna +23 · 2 voices · 68 citations
   Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Protein Structure and Dynamics #Scientific Computing and Data Management
2. Navigating protein landscapes with a machine-learned transferable coarse-grained model
   2023/10/27 by Nicholas E. Charron, Felix Musil, Klara Bonneau +40 · 3 voices · 27 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · Mathematics · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Biomolecules (q-bio.BM) #Block Copolymer Self-Assembly #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics #physics.bio-ph #physics.chem-ph #q-bio.BM #stat.ML
3. Accurate nuclear quantum statistics on machine-learned classical effective potentials
   2024/07/03 by Iryna Zaporozhets, Félix Musil, Zaporozhets, Iryna +5 · 1 citation
   Computer Science · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Quantum Computing Algorithms and Architecture