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- National Institute of Standards and TechnologyUS47 papers
- Material Measurement LaboratoryUS19 papers
- University of Maryland, College ParkUS14 papers
- Physical Measurement LaboratoryUS9 papers
- University of Massachusetts DartmouthUS8 papers
- University of Colorado BoulderUS6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- George Mason UniversityUS5 papers
- University of California, Los AngelesUS4 papers
- Alabama Agricultural and Mechanical UniversityUS3 papers
- Columbia UniversityUS3 papers
- Georgetown UniversityUS3 papers
11 papers · 1 filter
A tabletop x-ray tomography instrument for nanometer-scale imaging: demonstration of the 1,000-element transition-edge sensor subarray
Paul Szypryt, Nathan Nakamura, Daniel T. Becker +28
We report on the 1,000-element transition-edge sensor (TES) x-ray spectrometer implementation of the TOMographic Circuit Analysis Tool (TOMCAT). TOMCAT combines a high spatial reso…
High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) Superconductors
Daniel Wines, Kamal Choudhary, Adam J. Biacchi +2
High-throughput density functional theory (DFT) calculations allow for a systematic search for conventional superconductors. With the recent interest in two-dimensional (2D) superc…
A critical examination of robustness and generalizability of machine learning prediction of materials properties
Kangming Li, Brian DeCost, Kamal Choudhary +2
Recent advances in machine learning (ML) methods have led to substantial improvement in materials property prediction against community benchmarks, but an excellent benchmark score…
Specifics of the Elemental Excitations in "True One-Dimensional" MoI van der Waals Nanowires
Fariborz Kargar, Zahra Barani, Nicholas R. Sesing +15
We report on the temperature evolution of the polarization-dependent Raman spectrum of exfoliated MoI, a van der Waals material with a "true one-dimensional" crystal structure…
Unified Graph Neural Network Force-field for the Periodic Table
Kamal Choudhary, Brian DeCost, Lily Major +3
Classical force fields (FF) based on machine learning (ML) methods show great potential for large scale simulations of materials. MLFFs have hitherto largely been designed and fitt…
Systematic DFT+U and Quantum Monte Carlo benchmark of magnetic two-dimensional (2D) CrX (X = I, Br, Cl, F)
Daniel Wines, Kamal Choudhary, Francesca Tavazza
The search for two-dimensional (2D) magnetic materials has attracted a great deal of attention because of the experimental synthesis of 2D CrI, which has a measured Curie tempe…