11 citations · 12 across the 5 of their papers we have counts for
4 papers · 1 filter
Active Learning of A Crystal Plasticity Flow Rule From Discrete Dislocation Dynamics Simulations
Nicholas Huebner Julian, Giacomo Po, Enrique Martinez +2
Continuum-scale material deformation models, such as crystal plasticity, can significantly enhance their predictive accuracy by incorporating input from lower-scale (i.e., mesoscal…
Activation entropy helps explain anomalous flow stress temperature dependence in copper
Mohammadhossein Nahavandian, Liam Myhill, Enrique Martinez
Thermal activation of dislocations is critical for predicting the mechanical response of materials under common experimental conditions. According to transition state theory (TST),…
Data-Driven Modeling of Dislocation Mobility from Atomistics using Physics-Informed Machine Learning
Yifeng Tian, Soumendu Bagchi, Liam Myhill +5
Dislocation mobility, which dictates the response of dislocations to an applied stress, is a fundamental property of crystalline materials that governs the evolution of plastic def…
From anti-Arrhenius to Arrhenius behavior in a dislocation-obstacle bypass: Atomistic Simulations and Theoretical Investigation
Mohammadhossein Nahavandian, Soumit Sarkar, Soumendu Bagchi +2
Dislocations are the primary carriers of plasticity in metallic material. Understanding the basic mechanisms for dislocation movement is paramount to predicting the material mechan…