ACMS Applied Math Seminar - Yuehaw Khoo, University of Chicago


Location: 154 Hurley Hall

Yuehaw Khoo
University of Chicago

Thursday, April 28, 2022
3:30 pm - 4:30 pm
154 Hurley Hall

Title: Transition Path Theory with Low Complexity Representations

Abstract: Deep neural-network/tensor method can be used for compressing high-dimensional functions arising from partial differential equations (PDE). In this talk, we focus on using these methods for solving for the committor function. The committor function enables the study the transition processes between metastable states in chemistry applications. 



Yuehaw Khoo Screen Shot 2022 04 12 At 2



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