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Hao Wu
Hao Wu
Verified email at zedat.fu-berlin.de
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Cited by
Cited by
Year
Markov models of molecular kinetics: Generation and validation
JH Prinz, H Wu, M Sarich, B Keller, M Senne, M Held, JD Chodera, ...
The Journal of chemical physics 134 (17), 174105, 2011
10772011
VAMPnets for deep learning of molecular kinetics
A Mardt, L Pasquali, H Wu, F No
Nature communications 9 (1), 5, 2018
4212018
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
F No, S Olsson, J Khler, H Wu
Science 365 (6457), eaaw1147, 2019
3912019
Data-driven model reduction and transfer operator approximation
S Klus, F Nske, P Koltai, H Wu, I Kevrekidis, C Schtte, F No
Journal of Nonlinear Science 28, 985-1010, 2018
2192018
Multiensemble Markov models of molecular thermodynamics and kinetics
H Wu, F Paul, C Wehmeyer, F No
Proceedings of the National Academy of Sciences 113 (23), E3221-E3230, 2016
1812016
Variational approach for learning Markov processes from time series data
H Wu, F No
Journal of Nonlinear Science 30 (1), 23-66, 2020
1702020
Projected and hidden Markov models for calculating kinetics and metastable states of complex molecules
F No, H Wu, JH Prinz, N Plattner
The Journal of chemical physics 139 (18), 11B609_1, 2013
1572013
Protein-peptide association kinetics beyond the seconds timescale from atomistic simulations
F Paul, C Wehmeyer, ET Abualrous, H Wu, MD Crabtree, J Schneberg, ...
Nature communications 8 (1), 1095, 2017
1232017
Estimation and uncertainty of reversible Markov models
B Trendelkamp-Schroer, H Wu, F Paul, F No
The Journal of chemical physics 143 (17), 11B601_1, 2015
1162015
Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulations
H Wu, F Nske, F Paul, S Klus, P Koltai, F No
The Journal of chemical physics 146 (15), 154104, 2017
1032017
Combining experimental and simulation data of molecular processes via augmented Markov models
S Olsson, H Wu, F Paul, C Clementi, F No
Proceedings of the National Academy of Sciences 114 (31), 8265-8270, 2017
942017
Statistically optimal analysis of state-discretized trajectory data from multiple thermodynamic states
H Wu, ASJS Mey, E Rosta, F No
The Journal of Chemical Physics 141 (21), 12B629_1, 2014
922014
Stochastic normalizing flows
H Wu, J Khler, F No
Advances in Neural Information Processing Systems 33, 5933-5944, 2020
722020
Markov state models from short non-equilibrium simulations—Analysis and correction of estimation bias
F Nske, H Wu, JH Prinz, C Wehmeyer, C Clementi, F No
The Journal of Chemical Physics 146 (9), 094104, 2017
652017
xTRAM: Estimating equilibrium expectations from time-correlated simulation data at multiple thermodynamic states
ASJS Mey, H Wu, F No
Physical Review X 4 (4), 041018, 2014
592014
Deep generative markov state models
H Wu, A Mardt, L Pasquali, F Noe
Advances in Neural Information Processing Systems 31, 2018
542018
Variational selection of features for molecular kinetics
MK Scherer, BE Husic, M Hoffmann, F Paul, H Wu, F No
The Journal of chemical physics 150 (19), 194108, 2019
462019
Optimal trajectory planning of a flexible dual-arm space robot with vibration reduction
H Wu, F Sun, Z Sun, L Wu
Journal of Intelligent and Robotic Systems 40, 147-163, 2004
312004
Optimal data-driven estimation of generalized Markov state models for non-equilibrium dynamics
P Koltai, H Wu, F No, C Schtte
Computation 6 (1), 22, 2018
302018
Optimal estimation of free energies and stationary densities from multiple biased simulations
H Wu, F No
Multiscale Modeling & Simulation 12 (1), 25-54, 2014
302014
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Articles 1–20