When:
Thursday, August 8, 2024
2:00 PM - 3:00 PM CT
Where: Technological Institute, F160, 2145 Sheridan Road, Evanston, IL 60208 map it
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Joan West
(847) 491-3645
Group: Physics and Astronomy Complex Systems Seminars
Category: Academic
Well-mixed chemical reaction networks (CRNs) contain many distinct chemical species with copy numbers that fluctuate in correlated ways. While those correlations are typically monitored via Monte Carlo sampling of stochastic trajectories, the sampling ansatz has multiple drawbacks, including the inability to effectively reuse samples when the microscopic rates of the underlying model are altered. Thus, there is interest in systematically approximating the joint distribution over the exponentially large number of possible microstates using tensor networks. In my talk, I will demonstrate how tensor network techniques can be applied to biochemical systems such as genetic toggle switches. Giving a specific example, I show how sensitivity analysis can be effectively performed on a system exhibiting bimodality only in certain regions of parameter space.
John Zima, PhD Student, Department of Chemistry, Northwestern University
Host: Adilson Motter