Publications (14)
Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia
Jonathan Colen, Eric Werner, Maryam Golbazi +6
Childhood asthma is a common illness exacerbated by air pollution as well as meteorological and neighborhood-level socioeconomic factors. Modeling asthma exacerbation (AE) in large…
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators
Kishansingh Rajput, Malachi Schram, Auralee Edelen +6
Particle accelerator operation requires simultaneous optimization of multiple objectives. Multi-Objective Optimization (MOO) is particularly challenging due to trade-offs between t…
Explainable physics-based constraints on reinforcement learning for accelerator controls
Jonathan Colen, Malachi Schram, Kishansingh Rajput +1
We present a reinforcement learning (RL) framework for controlling particle accelerator experiments that builds explainable physics-based constraints on agent behavior. The goal is…
Negative group velocity and Kelvin-like wake pattern
Eugene B. Kolomeisky, Jonathan Colen, Joseph P. Straley
Wake patterns due to a uniformly traveling source are a result of the resonant emission of the medium's collective excitations. When there exists a frequency range where such excit…
Sociohydrodynamics: data-driven modelling of social behavior
Daniel S. Seara, Jonathan Colen, Michel Fruchart +3
Living systems display complex behaviors driven by physical forces as well as decision-making. Hydrodynamic theories hold promise for simplified universal descriptions of socially-…
Zyxin is all you need: machine learning adherent cell mechanics
Matthew S. Schmitt, Jonathan Colen, Stefano Sala +5
Cellular form and function emerge from complex mechanochemical systems within the cytoplasm. No systematic strategy currently exists to infer large-scale physical properties of a c…