Brooke Husic

Freie Universität Berlin, Berlin, Germany 
chemistry, biophysics
"Brooke Husic"
Mean distance: (not calculated yet)


Sign in to add mentor
Jay W. Ponder research assistant (Physics Tree)
Vijay S. Pande grad student
David J. Wales grad student
Frank Noé post-doc
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Majewski M, Pérez A, Thölke P, et al. (2023) Machine learning coarse-grained potentials of protein thermodynamics. Nature Communications. 14: 5739
Chen Y, Krämer A, Charron NE, et al. (2021) Machine learning implicit solvation for molecular dynamics. The Journal of Chemical Physics. 155: 084101
Glielmo A, Husic BE, Rodriguez A, et al. (2021) Unsupervised Learning Methods for Molecular Simulation Data. Chemical Reviews
Wang J, Charron N, Husic B, et al. (2021) Multi-body effects in a coarse-grained protein force field. The Journal of Chemical Physics. 154: 164113
Husic BE, Charron NE, Lemm D, et al. (2020) Coarse graining molecular dynamics with graph neural networks. The Journal of Chemical Physics. 153: 194101
Klus S, Husic BE, Mollenhauer M, et al. (2019) Kernel methods for detecting coherent structures in dynamical data. Chaos (Woodbury, N.Y.). 29: 123112
Scherer MK, Husic BE, Hoffmann M, et al. (2019) Variational selection of features for molecular kinetics. The Journal of Chemical Physics. 150: 194108
Husic BE, Noé F. (2019) Deflation reveals dynamical structure in nondominant reaction coordinates The Journal of Chemical Physics. 151: 054103
Röder K, Joseph JA, Husic BE, et al. (2019) Energy Landscapes for Proteins: From Single Funnels to Multifunctional Systems Advanced Theory and Simulations. 2: 1800175
Feinberg EN, Sur D, Wu Z, et al. (2018) PotentialNet for Molecular Property Prediction. Acs Central Science. 4: 1520-1530
See more...