58 citations · 135 across the 7 of their papers we have counts for
7 papers
Deep-Learning Quantitative Structural Characterization in Additive Manufacturing
Amra Peles, Vincent C. Paquit, Ryan R. Dehoff
With a goal of accelerating fabrication of additively manufactured components with precise microstructures, we developed a method for structural characterization of key features in…
Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy
Wenkai Fu, Steven R. Spurgeon, Chongmin Wang +3
We develop the machine learning capability to predict a time sequence of in-situ transmission electron microscopy (TEM) video frames based on the combined long-short-term-memory (L…
Formation and migration of native defects in NaAlH
Gareth B. Wilson-Short, Anderson Janotti, Khang Hoang +2
We present a first-principles study of native defects in NaAlH. Our analysis indicates that the structure and energetics of these defects can be interpreted in terms of element…
Short-time dynamics of a family of XY noncollinear magnets
S. Bekhechi, B. W. Southern, A. Peles +1
Critical scaling and universality in the short-time dynamics for antiferromagnetic models on a three-dimensional stacked triangular lattice are investigated using Monte Carlo simul…
Critical properties of a continuous family of XY noncollinear magnets
A. Peles, B. W. Southern, B. Delamotte +2
Monte Carlo methods are used to study a family of three dimensional XY frustrated models interpolating continuously between the stacked triangular antiferromagnets and a variant of…
Frustrated Heisenberg Antiferromagnets between d=2 and d=3
A. Peles, B. W. Southern
The antiferromagnetic Heisenberg model on a stacked triangular geometry with a finite number of layers is studied using Monte Carlo methods. A topological phase transition occurs a…