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Bo Lin
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Year
Computing committor functions for the study of rare events using deep learning
Q Li, B Lin, W Ren
The Journal of Chemical Physics 151 (5), 2019
792019
A data driven method for computing quasipotentials
B Lin, Q Li, W Ren
Mathematical and Scientific Machine Learning, 652-670, 2022
152022
Computing the invariant distribution of randomly perturbed dynamical systems using deep learning
B Lin, Q Li, W Ren
Journal of Scientific Computing 91 (3), 77, 2022
92022
Computing high-dimensional invariant distributions from noisy data
B Lin, Q Li, W Ren
Journal of Computational Physics 474, 111783, 2023
72023
Deep Learning Method for Computing Committor Functions with Adaptive Sampling
B Lin, W Ren
arXiv preprint arXiv:2404.06206, 2024
12024
Computing committor functions for the study of rare events using deep learning with importance sampling
Q Li, B Lin, W Ren
12018
Sparse identification of quasipotentials via a combined data-driven method
B Lin, P Belardinelli
arXiv preprint arXiv:2407.05050, 2024
2024
Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning
B Lin, Y Zhong, W Ren
arXiv preprint arXiv:2404.05905, 2024
2024
Deep Learning Based Methods for the Study of Dynamical Systems
L Bo
PQDT-Global, 2021
2021
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