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Date of Award

2026

Document Type

Campus Access Master's Report

Degree Name

Master of Science in Mechanical Engineering (MS)

Administrative Home Department

Department of Mechanical and Aerospace Engineering

Advisor 1

Greg Odegard

Committee Member 1

Gowtham S

Committee Member 2

Jungyun Bae

Abstract

Dihedral angles in molecular dynamics simulations encode conformational states that determine polymer chain flexibility and packing, yet measurement of population distributions, predicting an expected shape from force field parameters, or comparisons across simulation conditions are rarely examined. This report develops a framework connecting force field dihedral energy parameters to predicted population distributions through Boltzmann statistics, and fits measured distributions using maximum likelihood estimation of symmetric von Mises mixtures on the circular domain. The method is demonstrated on Polybenzoxazine measuring torsional degrees of freedom when heated and cured, and Polycarbosilane systems, identifying force field parameter errors at the individual torsion level. The analysis is implemented in the mooonpy Python package for general use with LAMMPS data files.

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