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Found 2 papers, 1 papers with code
A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly
We propose formulating the finite-horizon stochastic optimal control problem for colloidal self-assembly in the space of probability density functions (PDFs) of the underlying state variables (namely, order parameters).
Stochastic Physics-Informed Neural Ordinary Differential Equations
Stochastic differential equations (SDEs) are used to describe a wide variety of complex stochastic dynamical systems.
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