46 citations · 123 across the 20 of their papers we have counts for
4 papers · 1 filter
Data-driven Discovery of Chemotactic Migration of Bacteria via Machine Learning
Yorgos M. Psarellis, Seungjoon Lee, Tapomoy Bhattacharjee +3
E. coli chemotactic motion in the presence of a chemoattractant field has been extensively studied using wet laboratory experiments, stochastic computational models as well as part…
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling
Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson +1
Sampling the phase space of molecular systems -- and, more generally, of complex systems effectively modeled by stochastic differential equations -- is a crucial modeling step in m…
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas +4
We construct a reduced, data-driven, parameter dependent effective Stochastic Differential Equation (eSDE) for electric-field mediated colloidal crystallization using data obtained…
Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds
Juan M. Bello-Rivas, Anastasia Georgiou, John Guckenheimer +1
We introduce a method to successively locate equilibria (steady states) of dynamical systems on Riemannian manifolds. The manifolds need not be characterized by an a priori known a…