Data from: Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations

This data corresponds with the results published in "Stochastic Modeling of Anisotropic Strength Surfaces from Atomistic Simulations" by Bonacci, Dolbow, and Guilleminot, published in Theoretical and Applied Fracture Mechanics. This data represents a number of MD simulations of a monocrystalline sheet of graphite, subjected to multiaxial tensile loading. The dataset spans many loading states and defect configurations, providing a probabilistic representation of strength. The dataset also includes the parameters for an anisotropic model of strength that was fit to the MD data, as well as the neural network architecture that was necessary to create the MD data (due to a nonlinear stress-strain rate mapping). For more information, consult the README.md file, or the paper itself.