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Author:

Sha, Congzhou

Title:

Manifold Learning in Structural Biology: Docking, Folding, and Simulation

Graduate Program:

Engineering Science and Mechanics (PHD)

Keywords:

differentiable programming
machine learning
neural networks
structural biology
Lie group
statistical mechanics
molecular dynamics
RNA structure
differential geometry

File:

Download Sha_dissertation-Final.pdf

Committee Members:

Albert Segall, Program Head/Chair
Elizabeth Proctor, Major Field Member
Mehrdad Mahdavi, Outside Field Member
Nikolay Dokholyan, Chair & Dissertation Advisor
Raymond Hohl, Outside Unit Member