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Found 6 papers, 2 papers with code
Representing and Reconstructing PhySH: Which Embedding Competent?
Recent advances in natural language processing make embedding representations dominate the computing language world.
Constructing Custom Thermodynamics Using Deep Learning
Specifically, we learn three interpretable thermodynamic coordinates and build a dynamical landscape of polymer stretching, including the identification of stable and transition states and the control of the stretching rate.
Personal Privacy Protection Problems in the Digital Age
With the development of Internet technology, the issue of privacy leakage has attracted more and more attention from the public.
An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps
One of the challenges to calculate the most likely transition path for stochastic dynamical systems under non-Gaussian L\'evy noise is that the associated rate function can not be explicitly expressed by paths.
An Onsager-Machlup approach to the most probable transition pathway for a genetic regulatory network
We investigate a quantitative network of gene expression dynamics describing the competence development in Bacillus subtilis.
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks
The Fokker-Planck (FP) equation governing the evolution of the probability density function (PDF) is applicable to many disciplines but it requires specification of the coefficients for each case, which can be functions of space-time and not just constants, hence requiring the development of a data-driven modeling approach.
