H I G H L I G H T S • A data driven computational model to predict the deformation and failure in nanomaterials is presented. • Model accounts for more than two material state variables. • Model is able to take unprocessed experimental data. • The model capability of capturing the strain rate dependent deformation and failure has been demonstrated through predictions. A data driven computational model that accounts for more than two material states has been presented in this work. Presented

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... l can account for multiple state variables, such as stresses, strains, strain rates and failure stress, as compared to previously reported models with two states. Model is used to perform deformation and failure simulations of carbon nanotubes and carbon nanotube/epoxy nanocomposites. The model capability of capturing the strain rate dependent deformation and failure has been demonstrated through predictions against uniaxial test data taken from literature. The predicted results show a good agreement between data set taken from literature and simulations.