97 citations · 371 across the 11 of their papers we have counts for
11 papers
Physical aging of glasses of an organic semiconductor
Shinian Cheng, Kritika Jha, Zijian Wang +5
All glasses, including organic semiconductor glasses, are non-equilibrium materials whose properties will change with time. This physical aging process is poorly understood for org…
Amorphous shear bands in crystalline materials as drivers of plasticity
Xuanxin Hu, Nuohao Liu, Vrishank Jambur +7
Traditionally, the formation of amorphous shear bands (SBs) in crystalline materials has been undesirable, because SBs can nucleate voids and act as precursors to fracture. They al…
Machine Learning Prediction of Critical Cooling Rate for Metallic Glasses From Expanded Datasets and Elemental Features
Benjamin T. Afflerbach, Carter Francis, Lane E. Schultz +9
We use a random forest model to predict the critical cooling rate (RC) for glass formation of various alloys from features of their constituent elements. The random forest model wa…
Nucleation of Al Nanocrystals in Solute-Substituted Al Metallic Glasses I: Structural characterization
Feng Yi, S. D. Imhoff, J. H. Perepezko +1
Primary crystallization in high Al-content metallic glasses is driven by nanometer-diameter regions with internal structure similar to fcc Al. Comparison of fluctuation electron mi…
Effects of minor alloying on the mechanical properties of Al based metallic glasses
Vrishank Jambur, Chaiyapat Tangpatjaroen, Jianqi Xi +5
Minor alloying is widely used to control mechanical properties of metallic glasses (MGs). The present understanding of how a small amount of alloying element changes strength is th…
Mechanisms of bulk and surface diffusion in metallic glasses determined from molecular dynamics simulations
Ajay Annamareddy, Paul M. Voyles, John Perepezko +1
The bulk and surface dynamics of Cu50Zr50 metallic glass were studied using classical molecular dynamics (MD) simulations. As the alloy undergoes cooling, it passes through liquid,…
Molecular simulation-derived features for machine learning predictions of metal glass forming ability
Benjamin T. Afflerbach, Lane Schultz, John H. Perepezko +3
We have developed models of metallic alloy glass forming ability based on newly computationally accessible features obtained from molecular dynamics simulations. In this work we sh…
Microalloying effect in ternary Al-Sm-X (X=Ag, Au, Cu) metallic glasses studied by ab initio molecular dynamics
J. Xi, G. Bokas, L. E. Schultz +6
The icosahedral-like polyhedral fraction (ICO-like fraction) has been studied as a criterion for predicting the glass-forming ability of bulk ternary metallic glasses, Al90Sm8X2 (X…
Non-equilibrium Solute Capture in Passivating Oxide Films
Xiao-xiang Yu, Ahmet Gulec, Quentin Sherman +5
If all humans vanished tomorrow, almost every metal structure would collapse within a century or less, the metal converting to an oxide. In applications ranging from the mature tec…
Nucleation Kinetics in Al-Sm Metallic Glasses
L. Zhao, G. B. Bokas, J. H. Perepezko +1
The isothermal nucleation kinetics in Al-Sm metallic glasses with low Sm concentrations (xSm) was studied using molecular dynamics simulations in order to calculate time-temperatur…
On the role of Sm in solidification of Al-Sm metallic glasses
G. B. Bokas, L. Zhao, J. H. Perepezko +1
During the solidification of Al-Sm metallic glasses the evolution of the supercooled liquid atomic structure has been identified with an increasing population of icosahedral-like c…