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Multiscale Strategy for Predicting Radiation Chemistry in Polymers.
Kroonblawd, Matthew P; Yoshimura, Anthony; Goldman, Nir; Maiti, Amitesh; Lewicki, James P; Saab, Andrew P.
Afiliação
  • Kroonblawd MP; Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
  • Yoshimura A; Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
  • Goldman N; Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
  • Maiti A; Department of Chemical Engineering, University of California, Davis, California 95616, United States.
  • Lewicki JP; Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
  • Saab AP; Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
J Chem Theory Comput ; 18(9): 5117-5124, 2022 Sep 13.
Article em En | MEDLINE | ID: mdl-35960960
ABSTRACT
A primary mode for radiation damage in polymers arises from ballistic electrons that induce electronic excitations, yet subsequent chemical mechanisms are poorly understood. We develop a multiscale strategy to predict this chemistry starting from subatomic scattering calculations. Nonadiabatic molecular dynamics simulations sample initial bond-breaking events following the most likely excitations, which feed into semiempirical simulations that approach chemical equilibrium. Application to polyethylene reveals a mechanism explaining the low propensity to cross-link in crystalline samples.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Elétrons Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Elétrons Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article