30 citations · 79 across the 9 of their papers we have counts for
9 papers
Anomalous bulk dealloying below the parting limit
Weiyue Zhou, Hooman Gholamzadeh, Lei Ding +9
Dealloying has been extensively studied both as a corrosion degradation mechanism in structural materials, including those used in nuclear, aerospace, or marine environments, and a…
A set of moment tensor potentials for zirconium with increasing complexity
Yu Luo, Jason A. Meziere, German D. Samolyuk +3
Machine learning force fields (MLFFs) are an increasingly popular choice for atomistic simulations due to their high fidelity and improvable nature. Here, we propose a hybrid small…
Accelerating Training of MLIPs Through Small-Cell Training
Jason A. Meziere, Yu Luo, Yi Zia +3
While machine-learned interatomic potentials have become a mainstay for modeling materials, designing training sets that lead to robust potentials is challenging. Automated methods…
Examining the Effects of Irradiation Temperature on Defect Generation and the Nature of Dislocation Loops
M. A. Mattucci, Q. Wang, B. Langelier +4
Unlike the vast amount of irradiated material data that exists for stainless steel internals from LWRs, with high fast neutron flux and an irradiation temperature of~330oC, the CAN…
Deep Learning and Crystal Plasticity: A Preconditioning Approach for Accurate Orientation Evolution Prediction
Peyman Saidi, Hadi Pirgazi, Mehdi Sanjari +5
Efficient and precise prediction of plasticity by data-driven models relies on appropriate data preparation and a well-designed model. Here we introduce an unsupervised machine lea…
Interstitialcy-based reordering kinetics of NiAl precipitates in irradiated Ni-based super alloys
Keyvan Ferasat, Thomas D. Swinburne, Peyman Saidi +3
Neutron irradiation tends to promote disorder in ordered alloys through the action of the thermal spikes that it generates, while simultaneously introducing point defects and defec…