A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly

19 August 2022

Papers citing "A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly"

7 / 7 papers shown

Title
On the Hopf-Cole Transform for Control-affine Schrödinger Bridge Alexis M. H. Teter A. Halder 36 0 0 22 Mar 2025
Dynamical Measure Transport and Neural PDE Solvers for Sampling Jingtong Sun Julius Berner Lorenz Richter Marius Zeinhofer Johannes Müller Kamyar Azizzadenesheli Anima Anandkumar OT DiffM 42 9 0 10 Jul 2024
Schrödinger Bridge with Quadratic State Cost is Exactly Solvable Alexis M. H. Teter Wenqing Wang Abhishek Halder OT 57 5 0 01 Jun 2024
Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge Georgiy A. Bondar Robert Gifford Linh Thi Xuan Phan Abhishek Halder 36 0 0 21 May 2024
Physics-Informed Neural Networks with Hard Linear Equality Constraints Hao Chen Gonzalo E. Constante-Flores Canzhou Li PINN 21 11 0 11 Feb 2024
Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly Iman Nodozi Charlie Yan Mira M. Khare A. Halder A. Mesbah 27 5 0 26 Jul 2023
Optimal Mass Transport over the Euler Equation Charlie Yan Iman Nodozi A. Halder OT 22 1 0 02 Apr 2023