most citedNonlinear Discovery of Slow Molecular Modes using State-Free Reversible VAMPnets

171 citations · 177 across the 3 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2020

Molecular Latent Space Simulators

Hythem Sidky, Wei Chen, Andrew L. Ferguson

Small integration time steps limit molecular dynamics (MD) simulations to millisecond time scales. Markov state models (MSMs) and equation-free approaches learn low-dimensional kin…

physics.bio-ph20196 cited

High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnets

Hythem Sidky, Wei Chen, Andrew L. Ferguson

State-free reversible VAMPnets (SRVs) are a neural network-based framework capable of learning the leading eigenfunctions of the transfer operator of a dynamical system from trajec…

stat.ML2019

Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems

Wei Chen, Hythem Sidky, Andrew L. Ferguson

Time-lagged autoencoders (TAEs) have been proposed as a deep learning regression-based approach to the discovery of slow modes in dynamical systems. However, a rigorous analysis of…

cond-mat.soft2019

Automatic Determination of -Cyanobiphenyl Elastic Constants from Molecular Simulation

Hythem Sidky, Jonathan K. Whitmer

New applications of liquid crystalline materials have increased the need for precise engineering of elastic properties. Recently, Sidky et al. presented methods by which the elasti…

stat.ML2019171 cited

Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible VAMPnets

Wei Chen, Hythem Sidky, Andrew L Ferguson

The success of enhanced sampling molecular simulations that accelerate along collective variables (CVs) is predicated on the availability of variables coincident with the slow coll…