Did you mean: A Data Driven Method for Computing Quasi Potentials.
Dec 13, 2020 · Abstract:The quasipotential is a natural generalization of the concept of energy functions to non-equilibrium systems.
In this paper, we introduce a machine learning based method for computing quasipotential landscapes. The method is not only scalable to high dimensions, but ...
A Data Driven Method for Computing. Quasipotentials. Bo Lin. Department of ... ▷ We proposed a method for computing the quasipotential and at the same time ...
Duration: 9:59
Posted: Sep 1, 2021
Posted: Sep 1, 2021
People also ask
What is quasipotential?
Dec 13, 2020 · In this paper, we introduce a machine learning based method for computing quasipotential landscapes. The method is not only scalable to high ...
A data driven method for computing quasipotentials. B Lin, Q Li, W Ren. Mathematical and Scientific Machine Learning, 652-670, 2022. 14, 2022. Computing the ...
Dec 13, 2020 · In this paper, we propose a simple and efficient machine learning method to resolve this problem. The key idea is to learn an orthogonal ...
A Data Driven Method for Computing Quasipotentials. In Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference; PMLR, 2022; pp 652 ...
A Data Driven Method for Computing Quasipotentials ... The quasipotential is a natural generalization of the concept of energy functions to non-equilibrium ...
The quasipotential is a natural generalization of the concept of energy functions to non-equilibrium systems. In the analysis of rare events in stochastic ...