101 citations · 241 across the 10 of their papers we have counts for
11 papers
Driving and characterizing nucleation of urea and glycine polymorphs in water
Ziyue Zou, Eric Beyerle, Sun-Ting Tsai +1
Crystal nucleation is relevant across the domains of fundamental and applied sciences. However, in many cases its mechanism remains unclear due to a lack of temporal or spatial res…
Path sampling of recurrent neural networks by incorporating known physics
Sun-Ting Tsai, Eric Fields, Yijia Xu +2
Recurrent neural networks have seen widespread use in modeling dynamical systems in varied domains such as weather prediction, text prediction and several others. Often one wishes…
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…
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…
General Mechanism of Evolution Shared by Proteins and Words
Li-Min Wang, Hsing-Yi Lai, Sun-Ting Tsai +7
Complex systems, such as life and languages, are governed by principles of evolution. The analogy and comparison between biology and linguistics\cite{alphafold2, RoseTTAFold, lang_…
Self-organizing Pattern in Multilayer Network for Words and Syllables
Li-Min Wang, Sun-Ting Tsai, Shan-Jyun Wu +4
One of the ultimate goals for linguists is to find universal properties in human languages. Although words are generally considered as representing arbitrary mapping between lingui…
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…
Reaction coordinates and rate constants for liquid droplet nucleation: quantifying the interplay between driving force and memory
Sun-Ting Tsai, Zachary Smith, Pratyush Tiwary
In this work we revisit the classic problem of homogeneous nucleation of a liquid droplet in a supersaturated vapor phase. We consider this at different extents of the driving forc…
Ligand dissociation mechanisms from all-atom simulations: Are we there yet?
Joao Marcelo Lamim Ribeiro, Sun-Ting Tsai, Debabrata Pramanik +2
Large parallel gains in the development of both computational resources as well as sampling methods have now made it possible to simulate dissociation events in ligand-protein comp…
Acoustic Emission from Breaking a Bamboo Chopstick
Sun-Ting Tsai, Li-Min Wang, Panpan Huang +3
The acoustic emission from breaking a bamboo chopstick or a bundle of spaghetti is found to exhibit similar behavior as the famous seismic laws of Gutenberg-Richter, Omori, and Bat…
Power-law ansatz in complex systems: excessive loss of information
Sun-Ting Tsai, Chin-De Chang, Ching-Hao Chang +3
The ubiquity of power-law relations in empirical data displays physicists' love of simple laws and uncovering common causes among seemingly unrelated phenomena. However, many repor…