147 citations · 843 across the 42 of their papers we have counts for
39 papers · 1 filter
Morphology and Dynamics of Self-interstitial Clusters in Irradiated Nickel
Ajay Annamareddy, Ibrahim Momohjimoh, Hangyu Li +3
Self-interstitial atom (SIA) clustering is a key early step in radiation damage evolution in face-centered cubic (FCC) metals, governing defect transport, recombination, and the lo…
Accurate Evaluation of Nanoscale Spatiotemporal Dynamics with Electron Correlation Microscopy
Po-Cheng Kung, Ajay Annamareddy, Mark D. Ediger +2
Electron correlation microscopy (ECM) can measure materials dynamics with nanoscale spatial resolution from intensity correlation functions. However, adopting X-ray photon correlat…
Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization
Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles +1
We have developed a machine learning model for critical cooling rates for metallic glasses based on computational properties. We compare results for features derived from easy-to-c…
Vapor-to-glass preparation of biaxially aligned organic semiconductors
Jianzhu Ju, Debaditya Chatterjee, Paul M. Voyles +2
Physical vapor deposition (PVD) provides a route to prepare highly stable and anisotropic organic glasses that are utilized in multi-layer structures such as organic light-emitting…
Asymmetric Energy Landscapes Control Diffusion in Glasses
Ajay Annamareddy, Bu Wang, Paul M. Voyles +2
While diffusion in crystalline solids is quantitatively understood through defect-mediated atomic hops, no comparable quantitative framework exists for glasses. In these systems, t…
Epitaxial stabilization of magnetic GdAuSb/LaAuSb superlattices
Patrick J. Strohbeen, Soohyun Im, Tamalika Samanta +7
We report the epitaxial stabilization of GdAuSb films and GdAuSb/LaAuSb superlattices via molecular beam epitaxy on (0001)-oriented AlO substrates. GdAuSb crystallize i…
Remote epitaxial frustration stabilizes a correlated interfacial state
Taehwan Jung, Nicholas Hagopian, Anshu Sirohi +7
Remote epitaxy exploits substrate interactions transmitted across atomically thin materials to replicate substrate crystal structure. Here we show that competition among graphene-,…
Tunable polar distortions and magnetism in GdLaPtSb epitaxial films
Dongxue Du, Cheyu Zhang, Jingrui Wei +5
Hexagonal intermetallics are predicted to have tunable ferroelectric, topological, and magnetic properties as a function of the polar buckling of atomic planes. We repor…
Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility
Ryan Jacobs, Lane E. Schultz, Aristana Scourtas +7
One compelling vision of the future of materials discovery and design involves the use of machine learning (ML) models to predict materials properties and then rapidly find materia…
Cold Seeded Epitaxy and Flexomagnetism in Smooth GdAuGe Membranes Exfoliated from graphene/Ge(111)
Z LaDuca, T Samanta, N Hagopian +7
Remote and van der Waals epitaxy are promising approaches for synthesizing single crystalline membranes for flexible electronics and discovery of new properties via extreme strain;…
Room-temperature ferromagnetism in epitaxial bilayer FeSb/SrTiO3(001) terminated with a Kagome lattice
Huimin Zhang, Qinxi Liu, Liangzi Deng +10
Two-dimensional (2D) magnets exhibit unique physical properties for potential applications in spintronics. To date, most 2D ferromagnets are obtained by mechanical exfoliation of b…
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…
Effect of Pt vacancies on magnetotransport of Weyl semimetal candidate GdPtSb epitaxial films
Dongxue Du, Laxman Raju Thoutam, Konrad T. Genser +5
We examine the effects of Pt vacancies on the magnetotransport properties of Weyl semimetal candidate GdPtSb films, grown by molecular beam epitaxy on c-plane sapphire. Rutherford…
Using 4D STEM to probe mesoscale order in molecular glass films prepared by physical vapor deposition
Debaditya Chatterjee, Shuoyuan Huang, Kaichen Gu +6
Physical vapor deposition can be used to prepare highly stable organic glass systems where the molecules show orientational and translational ordering at the nanoscale. We have use…
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…
Distribution of atomic rearrangement vectors in a metallic glass
Ajay Annamareddy, Bu Wang, Paul M. Voyles +1
Short-timescale atomic rearrangements are fundamental to the kinetics of glasses and frequently dominated by one atom moving significantly (a rearrangement), while others relax onl…
Benchmark tests of atom segmentation deep learning models with a consistent dataset
Jingrui Wei, Ben Blaiszik, Aristana Scourtas +2
The information content of atomic resolution scanning transmission electron microscopy (STEM) images can often be reduced to a handful of parameters describing each atomic column,…
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…
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…
Factors correlating to enhanced surface diffusion in metallic glasses
Ajay Annamareddy, Yuhui Li, Lian Yu +2
The enhancement of surface diffusion (DS) over the bulk (DV) in metallic glasses (MGs) is well documented and likely to strongly influence the properties of glasses grown by vapor…
Exploration of Characteristic Temperature Contributions to Metallic Glass Forming Ability
Lane E. Schultz, Benjamin Afflerbach, Carter Francis +3
Various combinations of characteristic temperatures, such as the glass transition temperature, liquidus temperature, and crystallization temperature, have been proposed as predicti…
Structure and magnetism in Fe-doped FeVSb and epitaxial Fe/FeVSb nanocomposite films
Estiaque Shourov, Chenyu Zhang, Paul Voyles +1
The combination of ferromagnetism and semiconducting behavior offers an avenue for realizing novel spintronics and spin-enhanced thermoelectrics. Here we demonstrate the synthesis…
Epitaxy, exfoliation, and strain-induced magnetism in rippled Heusler membranes
Dongxue Du, Sebastian Manzo, Chenyu Zhang +6
Single-crystalline membranes of functional materials enable the tuning of properties via extreme strain states; however, conventional routes for producing membranes require the use…