98 citations · 270 across the 18 of their papers we have counts for
18 papers
A new Fermi kinetic phase transition model for metals including hysteresis effects
Ann E. Mattsson Wills, Daniel N. Blaschke, Michael B. Prime +3
We present a new phenomenological model for phase transformation (PT) kinetics in metals, the "Fermi Kinetic Phase Transition (KPT) Model". It is designed such that it captures the…
Thicker amorphous grain boundary complexions reduce plastic strain localization in nanocrystalline Cu-Zr
Esther C. Hessong, Nicolo Maria della Ventura, Tongjun Niu +6
Amorphous grain boundary complexions have been shown to increase the plasticity of nanocrystalline alloys as compared to ordered grain boundaries. Here, the effect of an important…
Bayesian inference and uncertainty quantification for modeling of body-centered-cubic single crystals
Seunghyeon Lee, Thao Nguyen, Darby J. Luscher +3
Uncertainties in the high-dimensional space of material parameters pose challenges for the predictive modeling of bcc single crystals, especially under extreme loading conditions.…
Predicting void nucleation in microstructure with convolutional neural networks
Abhijith Thoopul Anantharanga, Jackson Plummer, Saryu Fensin +1
Void nucleation in ductile materials subjected to high strain-rate loading remains a critical yet elusive phenomenon to understand. Traditional methods to understand void nucleatio…
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…
Exploring the relation between transonic dislocation glide and stacking fault width in FCC metals
Kathryn R. Jones, Khanh Dang, Daniel N. Blaschke +2
Theory predicts limiting gliding velocities that dislocations cannot overcome. Computational and recent experiments have shown that these limiting velocities are soft barriers and…
Learning from metastable grain boundaries
Avanish Mishra, Sumit A. Suresh, Saryu J. Fensin +2
Grain boundaries (GBs) govern critical properties of polycrystals. Although significant advancements have been made in characterizing minimum energy GBs, real GBs are seldom found…
The structure and migration of heavily irradiated grain boundaries and dislocations in Ni in the athermal limit
Ian Chesser, Peter M. Derlet, Avanish Mishra +6
The microstructural evolution at and near pre-existing grain boundaries (GBs) and dislocations in materials under high radiation doses is still poorly understood. In this work, we…
Effect of helium bubbles on the mobility of edge dislocations in copper
Minh Tam Hoang, Nithin Mathew, Daniel N. Blaschke +1
Helium bubbles can form in materials upon exposure to irradiation. It is well known that the presence of helium bubbles can cause changes in the mechanical behavior of materials. T…
Properties of accelerating edge dislocations in arbitrary slip systems with reflection symmetry
Daniel N. Blaschke, Khanh Dang, Saryu Fensin +1
We discuss the theoretical solution to the differential equations governing accelerating edge dislocations in anisotropic crystals. This is an important prerequisite to understandi…
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…
Perspectives on Novel Refractory Amorphous High-Entropy Alloys in Extreme Environments
Matheus A. Tunes, Hi T. Vo, Jon K. S. Baldwin +3
Two new refractory amorphous high-entropy alloys (RAHEAs) within the W--Ta--Cr--V and W--Ta--Cr--V--Hf systems were herein synthesized using magnetron-sputtering and tested under h…
Limiting velocities and transonic dislocations in Mg
Khanh Dang, Daniel N. Blaschke, Saryu Fensin +1
To accurately predict the mechanical response of materials, especially at high strain rates, it is important to account for dislocation velocities in these regimes. Under these ext…
Clarifying the definition of 'transonic' screw dislocations
Daniel N. Blaschke, Jie Chen, Saryu Fensin +1
A number of recent Molecular Dynamics (MD) simulations have demonstrated that screw dislocations in face centered cubic (fcc) metals can achieve stable steady state motion above th…
Combining Laue diffraction with Bragg coherent diffraction imaging at 34-ID-C
Anastasios Pateras, Ross Harder, Wonsuk Cha +10
Measurement modalities in Bragg coherent diffraction imaging (BCDI) rely on finding signal from a single nanoscale crystal object, which satisfies the Bragg condition among a large…
Automated discovery of a robust interatomic potential for aluminum
Justin S. Smith, Benjamin Nebgen, Nithin Mathew +8
Accuracy of molecular dynamics simulations depends crucially on the interatomic potential used to generate forces. The gold standard would be first-principles quantum mechanics (QM…
Structural disjoining potential for grain boundary premelting and grain coalescence from molecular-dynamics simulations
Saryu Fensin, David Olmsted, Dorel Buta +3
We describe a molecular dynamics framework for the direct calculation of the short-ranged structural forces underlying grain-boundary premelting and grain-coalescence in solidifica…