Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning

C Schütte, S Klus, C Hartmann - Acta Numerica, 2023 - cambridge.org
One of the main challenges in molecular dynamics is overcoming the 'timescale barrier': in
many realistic molecular systems, biologically important rare transitions occur on timescales …

Slicing and dicing: Optimal coarse-grained representation to preserve molecular kinetics

W Yang, C Templeton, D Rosenberger… - ACS Central …, 2023 - ACS Publications
The aim of molecular coarse-graining approaches is to recover relevant physical properties
of the molecular system via a lower-resolution model that can be more efficiently simulated …

Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks

W Zhang, T Li, C Schütte - Journal of Computational Physics, 2022 - Elsevier
In this paper, we consider the eigenvalue PDE problem of the infinitesimal generators of
metastable diffusion processes. We propose a numerical algorithm based on training …

Transition manifolds of complex metastable systems: Theory and data-driven computation of effective dynamics

A Bittracher, P Koltai, S Klus, R Banisch… - Journal of nonlinear …, 2018 - Springer
We consider complex dynamical systems showing metastable behavior, but no local
separation of fast and slow time scales. The article raises the question of whether such …

[HTML][HTML] Coarse-graining molecular systems by spectral matching

F Nüske, L Boninsegna, C Clementi - The Journal of chemical physics, 2019 - pubs.aip.org
Coarse-graining has become an area of tremendous importance within many different
research fields. For molecular simulation, coarse-graining bears the promise of finding …

Understanding recent deep‐learning techniques for identifying collective variables of molecular dynamics

W Zhang, C Schütte - PAMM, 2023 - Wiley Online Library
High‐dimensional metastable molecular dynamics (MD) can often be characterised by a few
features of the system, that is, collective variables (CVs). Thanks to the rapid advance in the …

Simulations of phage T7 capsid expansion reveal the role of molecular sterics on dynamics

PC Whitford, W Jiang, P Serwer - Viruses, 2020 - mdpi.com
Molecular dynamics techniques provide numerous strategies for investigating biomolecular
energetics, though quantitative analysis is often only accessible for relatively small …

Jarzynski's equality, fluctuation theorems, and variance reduction: Mathematical analysis and numerical algorithms

C Hartmann, C Schütte, W Zhang - Journal of Statistical Physics, 2019 - Springer
In this paper, we study Jarzynski's equality and fluctuation theorems for diffusion processes.
While some of the results considered in the current work are known in the (mainly physics) …

[HTML][HTML] Spectral properties of effective dynamics from conditional expectations

F Nüske, P Koltai, L Boninsegna, C Clementi - Entropy, 2021 - mdpi.com
The reduction of high-dimensional systems to effective models on a smaller set of variables
is an essential task in many areas of science. For stochastic dynamics governed by diffusion …

On finding optimal collective variables for complex systems by minimizing the deviation between effective and full dynamics

W Zhang, C Schütte - arxiv preprint arxiv:2405.02001, 2024 - arxiv.org
This paper is concerned with collective variables, or reaction coordinates, that map a
discrete-in-time Markov process $ X_n $ in $\mathbb {R}^ d $ to a (much) smaller dimension …