Noe, Frank

1. Machine Learning of coarse-grained Molecular Dynamics Force Fields
   2018/12/04 by Jiang Wang, Simon Olsson, Wang, Jiang +13 · 16 citations
   Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics
2. Kinetic distance and kinetic maps from molecular dynamics simulation
   2015/06/20 by Frank Noé, Cecilia Clementi, Noe, Frank +1 · 6 citations
   Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · #Biological Physics (physics.bio-ph) #Biomolecules (q-bio.BM) #Blind Source Separation Techniques #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Data Analysis #Electrochemical Analysis and Applications #FOS: Biological sciences #FOS: Physical sciences #Protein Structure and Dynamics #Statistics and Probability (physics.data-an)
3. Deep Generative Markov State Models
   2018/05/19 by Hao Wu, Wu, Hao, Andreas Mardt +5 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Probability (math.PR) #Protein Structure and Dynamics #Statistics and Probability (physics.data-an)