A data management system for ab-initio nuclear physics applications. - Fang Liu 028; Ritu Mundhe; Masha Sosonkina; Chase Cockrell; Miles Aronnax; Pieter Maris; James P. Vary (SpringSim (HPC), 2011)

Examining the dynamics of epithelial metaplasia and pouchitis in an ileal pouch with a spatially-explicit computational multi-scale gut model (MSGM). - Chase Cockrell; Scott Christley; Gary An; Eugene Chang; Marc Ward (SpringSim (ADS), 2013)

Investigation of Inflammation and Tissue Patterning in the Gut Using a Spatially Explicit General-Purpose Model of Enteric Tissue (SEGMEnT). - Chase Cockrell; Scott Christley; Gary An (PLoS Comput. Biol., 2014)

Computational Studies of the Intestinal Host-Microbiota Interactome. - Scott Christley; Chase Cockrell; Gary An (Comput., 2015)

High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow. - Jonathan Ozik; Nicholson T. Collier; Justin M. Wozniak; Charles M. Macal; Chase Cockrell; Samuel H. Friedman; Ahmadreza Ghaffarizadeh; Randy W. Heiland; Gary An; Paul Macklin (BMC Bioinform., 2018)

Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis. - Brenden K. Petersen; Jiachen Yang; Will S. Grathwohl; Chase Cockrell; Claudio Santiago; Gary An; Daniel M. Faissol (CoRR, 2018)

Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation. - Chase Cockrell; Gary An (PLoS Comput. Biol., 2018)

Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine. - Brenden K. Petersen; Jiachen Yang; Will S. Grathwohl; Chase Cockrell; Claudio Santiago; Gary An; Daniel M. Faissol (J. Comput. Biol., 2019)

Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models. - Chase Cockrell; Jonathan Ozik; Nick Collier; Gary An (Simul., 2021)

Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework. - Chase Cockrell; Scott Christley; Gary An (CoRR, 2022)

Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations. - Gary An; Chase Cockrell (CoRR, 2023)

Examining B-cell dynamics and responsiveness in different inflammatory milieus using an agent-based model. - Bryan Shin; Gary An; Chase Cockrell (PLoS Comput. Biol., 2024)