129 citations · 206 across the 7 of their papers we have counts for
7 papers
Structural tunability and origin of two-level systems in amorphous silicon
H. C. Jacks, M. Molina-Ruiz, M. H. Weber +5
Amorphous silicon films prepared by electron beam evaporation have systematically and substantially greater atomic density for higher thickness, higher growth temperature, and slow…
Local Structure Controlling the Glass Transition in a Prototype Metal-Metalloid Glass
Jason J. Maldonis, Paul M. Voyles
We use a structure analysis technique that quantifies cluster geometries using machine learning to identify a bicapped square antiprism (BSAP) as the nearest-neighbor cluster invol…
Short-Range Order Structure Motifs Learned from an Atomistic Model of a ZrCuAl Metallic Glass
Jason J. Maldonis, Arash Dehghan Banadaki, Srikanth Patala +1
The structural motifs of a ZrCuAl metallic glass were learned from atomistic models using a new structure analysis method called motif extraction that employs p…
StructOpt: A modular materials structure optimization suite incorporating experimental data and simulated energies
Jason J. Maldonis, Zhongnan Xu, Zhewen Song +4
StructOpt, an open-source structure optimization suite, applies genetic algorithm and particle swarm methods to obtain atomic structures that minimize an objective function. The ob…
Point-Pattern Matching Technique for Local Structural Analysis in Condensed Matter
Arash Dehghan Banadaki, Jason J. Maldonis, Paul M. Voyles +1
The local arrangement of atoms is one of the most important predictors of mechanical and functional properties of materials. However, algorithms for identifying the geometrical arr…
Spatially Heterogeneous Dynamics in a Metallic Glass Forming Liquid Imaged by Electron Correlation Microscopy
Pei Zhang, Jason J. Maldonis, Ze Liu +2
Supercooled liquids exhibit spatial heterogeneity in the dynamics of their fluctuating atomic arrangements. The length and time scales of the heterogeneous dynamics are central to…
FEMSIM+HRMC: Simulation of and Structural Refinement using Fluctuation Electron Microscopy for Amorphous Materials
Jason J. Maldonis, Jinwoo Hwang, Paul M. Voyles
FEMSIM, a Fortran code, has been developed to simulate the fluctuation electron microscopy signal, the variance, V(k), from a model atomic structure. FEMSIM has been incorporated i…