Multiensemble Markov models of molecular thermodynamics and kinetics

By Hao Wu, Fabian Paul, Christoph Wehmeyer, Frank No'e. 2016

92 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Jonas Köhler
2. Frank No'e
3. Leon Klein
4. Hao Wu
5. Cecilia Clementi
6. Steven L. Brunton
7. Luca Pasquali
8. Andreas Mardt

In Statistical and Nonlinear Physics

1. Jonas Köhler
2. Frank No'e
3. Leon Klein
4. Hao Wu
5. Cecilia Clementi
6. Steven L. Brunton

Citations in the corpus

• Equivariant Flows: exact likelihood generative learning for symmetric densities (2020, methodology): “…to speed up rare events by adding a suitable bias energy to u(x) and subsequently correcting the generated distribution by reweighing or Monte-Carlo estimators using the ratio of true over generated density, e.g. (Torrie & Valleau, 1977; Bennett, 1976; Laio & Parrinello, 2002; Wu et al., 2016).”