11 citations · 12 across the 5 of their papers we have counts for
6 papers
Achieving DFT accuracy in short range ordering and stacking fault energy using moment tensor potential for CoCrFeNi and CoCrNi
Mashroor S. Nitol, Artur Tamm, Subah Mubassira +2
Medium-entropy alloys (MEAs) such as CoCrFeNi and CoCrNi are promising structural materials owing to their outstanding mechanical and thermal properties, which arise from complex c…
Evaluating Moment Tensor Potential in Ag-Cu Alloy: Accuracy, Transferability, and Phase Diagram Fidelity
Mashroor S. Nitol, Marco J. Echeverría Iriarte, Doyl E. Dickel +1
A Moment Tensor Potential (MTP) has been developed for the Cu-Ag binary alloy and its accuracy, transferability, and thermodynamic fidelity evaluated. The model was trained on a di…
The structure and migration of twin boundaries in tetragonal -Sn: an application of machine learning based interatomic potentials
Ian Chesser, Mashroor Nitol, Esther C. Hessong +7
Although atomistic simulations have contributed significantly to our understanding of twin boundary structure and migration in metals and alloys with hexagonal close packed (HCP) c…
Predicting Ti-Al Binary Phase Diagram with an Artificial Neural Network Potential
Micah Nichols, Christopher D. Barrett, Doyl E. Dickel +2
The microstructure of the Ti-Al binary system is an area of great interest as it affects material properties and plasticity. Phase transformations induce microstructural changes; t…
Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals
Daniel N. Blaschke, Thao Nguyen, Mashroor Nitol +2
Damage models for ductile materials typically need to be parameterized, often with the appropriate parameters changing for a given material depending on the loading conditions. Thi…
LAMMPS Implementation of Rapid Artificial Neural Network Derived Interatomic Potentials
Doyl Dickel, Mashroor Nitol, Christopher Barrett
While machine learning approaches have been successfully used to represent interatomic potentials, their speed has typically lagged behind conventional formalisms. This is often du…