Search Results for author: Michael A. Bevan

Found 2 papers, 1 papers with code

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles

1 code implementation30 Apr 2022 Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis

We construct a reduced, data-driven, parameter dependent effective Stochastic Differential Equation (eSDE) for electric-field mediated colloidal crystallization using data obtained from Brownian Dynamics Simulations.

Dimensionality Reduction

Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning

no code implementations26 Jun 2019 Yuguang Yang, Michael A. Bevan, Bo Li

Equipping active colloidal robots with intelligence such that they can efficiently navigate in unknown complex environments could dramatically impact their use in emerging applications like precision surgery and targeted drug delivery.

Navigate Reinforcement Learning (RL)

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