The widespread and advanced application of polymers outshines
the
current ability to theoretically predict their radiation deterioration
without much prior knowledge. This work presents a versatile methodology
to simulate and forecast the radiochemical damage of polydimethylsiloxane
(PDMS) foam. The radiolytic kinetics of PDMS foam in radiation-thermal
environments is first studied by multiscale simulations with experimental
verification. Then the radiolytic kinetic model of PDMS is developed
via material informatics gained from experiments, reactive force field
simulations, and density functional theory calculations, involving
the paramount elementary reactions and other events in the physical,
physicochemical, and chemical stages. The model configuration is designed
to interactively couple with the service conditions and structural
relationships, which enables the model to allow for the intricate
radiation-thermal coupling effect, dose rate effect, and postradiation
effect. To improve the adaptivity and accuracy of the model and further
rationalize the radiolytic kinetics frame, the diffusion coefficients
and reaction rate constants with temperature, topology, and morphology
dependence are calculated. The developed radiolytic kinetic model
can precisely predict the deteriorated PDMS system from various aspects
simultaneously, including gas yields, radiation chemical yields, and
damaged molecular structure and cross-linking network. The overall
accuracy in view of the standard deviation calculated from the normalized
data is less than 0.35. The proposed methodology has a promising future
in nonempirical simulations, multiscale understanding, and goal-oriented
harnessing of the structure–property relationships of polymers.