Purdue University Graduate School
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COMPUTATIONAL PREDICTION AND VALIDATION OF A POLYMER REACTION NETWORK

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posted on 2023-11-13, 17:20 authored by Lawal Adewale OgunfoworaLawal Adewale Ogunfowora

Chemical reaction networks govern polymer degradation and contain critical design information regarding specific susceptibilities, degradation pathways, and degradants. However, predicting reaction pathways and characterizing complete reaction networks has been hindered by high computational costs because of the vast number of possible reactions at deeper levels of network exploration. In the first section, an exploration policy based on Dijkstra's algorithm on YARP using the reaction rate as a cost function was shown to provide a tractable means of exploring the pyrolytic degradation network of a representative commodity polymer, PEG. The resulting network is the largest reported to date for this system and includes pathways out to all degradants observed in earlier mass spectrometry studies. The initial degradation pathway predictions were validated by complementary experimental analysis of pyrolyzed PEG samples by ESI-MS. These findings demonstrate that reaction network characterization is reaching sufficient maturity to be used as an exploratory tool for investigating materials degradation and interpreting experimental degradation studies.

Funding

MURI N00014-21-1-2476

History

Degree Type

  • Master of Science

Department

  • Chemistry

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

Brett Savoie

Advisor/Supervisor/Committee co-chair

Jianguo Mei

Additional Committee Member 2

Ming Chen

Additional Committee Member 3

Lyudmila Slipchenko

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