Andrea Rovinelli

2.0 - MOOSE: Enabling massively parallel multiphysics simulation

Alexander Lindsay, Derek Gaston, Cody Permann et al. · SoftwareX · 2022 · 227 citations · Full text

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

Andrea Rovinelli, Michael D. Sangid, Henry Proudhon et al. · npj Computational Materials · 2018 · 186 citations · Full text

Engineering, Machine Learning, Mechanical Engineering +17

Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations

Andrea Rovinelli, Michael D. Sangid, Henry Proudhon et al. · Journal of the Mechanics and Physics of Solids · 2018 · 117 citations · Full text

Small Cracks, Engineering, Crystal Plasticity Simulations +12

Assessing reliability of fatigue indicator parameters for small crack growth via a probabilistic framework

Andrea Rovinelli, Yoann Guilhem, Henry Proudhon et al. · Modelling and Simulation in Materials Science and Engineering · 2017 · 57 citations · Full text

Influence of microstructure variability on short crack behavior through postulated micromechanical short crack driving force metrics

Andrea Rovinelli, Ricardo A. Lebensohn, Michael D. Sangid · Engineering Fracture Mechanics · 2015 · 47 citations · Full text

Engineering, Micromechanics, Mechanical Behavior +12