For detailed publications: Google scholar

The following is a list of selected publications:

[8]. “Driving and characterizing nucleation of urea and glycine polymorphs in water”
Ziyue Zou, Eric R Beyerle, Sun-Ting Tsai, and Pratyush Tiwary
Proc. Natl. Acad. Sci. 120 (7), e2216099120 (2023)

[7]. “Path sampling of recurrent neural networks by incorporating known physics”
Sun-Ting Tsai, Eric Fields, Yijia Xu, En-Jui Kuo, and Pratyush Tiwary
Nat. Commu. 13 (1), 7231 (2022)

[6]. “SGOOP-d: Estimating kinetic distances and reaction coordinate dimensionality for rare event systems from biased/unbiased simulations”
Sun-Ting Tsai, Zachary Smith, and Pratyush Tiwary
J. Chem. Theory Comput. 17 (11), 6757-6765 (2021)

[5]. “Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network”
Sun-Ting Tsai, En-Jui Kuo, and Pratyush Tiwary
Nat. Commu. 11 5115 (2020)

[4]. “Reaction coordinates and rate constants for liquid droplet nucleation: quantifying the interplay between driving force and memory”
Sun-Ting Tsai, Zachary Smith, and Pratyush Tiwary
J. Chem. Phys. 151 (15), 154106 (2019)

[3]. “Multi-dimensional spectral gap optimization of order parameters (SGOOP) through conditional probability factorization”
Zachary Smith, Sun-Ting Tsai, Debabrata Pramanik, and Pratyush Tiwary
J. Chem. Phys. 149 (23), 234105 (2018)

[2]. “Acoustic Emission from Breaking Bamboo Chopsticks”
Sun-Ting Tsai, Panpan Huang, Li-Min Wang, Zhengning Yang, Chin-De Chang, and Tzay-Ming Hong
Phys. Rev. Lett. 116, 035501 (2016)

[1]. “Power-law Ansatz in Complex Systems: Excessive Loss of Information”
Sun-Ting Tsai, Chin-De Chang, Ching-Hao Chang, Meng-Xue Tsai, Nan-Jung Hsu, and Tzay-Ming Hong
Phys. Rev. E 92, 062925 (2015)