activity
20162022
most citedState Predictive Information Bottleneck

125 citations · 128 across the 5 of their papers we have counts for

collaborators

13 papers

physics.chem-ph2022

Quantifying Energetic and Entropic Pathways in Molecular Systems

E. R. Beyerle, Shams Mehdi, Pratyush Tiwary

When examining dynamics occurring at non-zero temperatures, both energy and entropy must be taken into account while describing activated barrier crossing events. Furthermore, good…

physics.chem-ph20212 cited

Influence of long range forces on the transition states and dynamics of NaCl ion-pair dissociation in water

Dedi Wang, Renjie Zhao, John D. Weeks +1

We study NaCl ion-pair dissociation in a dilute aqueous solution using computer simulations both for the full system with long range Coulomb interactions and for a well chosen refe…

cond-mat.soft2021

Towards automated sampling of polymorph nucleation and free energies with SGOOP and metadynamics

Ziyue Zou, Sun-Ting Tsai, Pratyush Tiwary

Understanding the driving forces behind the nucleation of different polymorphs is of great importance for material sciences and the pharmaceutical industry. This includes understan…

physics.comp-ph2021

SGOOP-d: Estimating kinetic distances and reaction coordinate dimensionality for rare event systems from biased/unbiased simulations

Sun-Ting Tsai, Zachary Smith, Pratyush Tiwary

Understanding kinetics including reaction pathways and associated transition rates is an important yet difficult problem in numerous chemical and biological systems especially in s…

physics.chem-ph2020125 cited

State Predictive Information Bottleneck

Dedi Wang, Pratyush Tiwary

The ability to make sense of the massive amounts of high-dimensional data generated from molecular dynamics (MD) simulations is heavily dependent on the knowledge of a low dimensio…

cond-mat.dis-nn2020

Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network

Sun-Ting Tsai, En-Jui Kuo, Pratyush Tiwary

Recurrent neural networks (RNNs) have led to breakthroughs in natural language processing and speech recognition, wherein hundreds of millions of people use such tools on a daily b…