1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institute of Standards and TechnologyUS134 papers
- University of Maryland, College ParkUS31 papers
- Physical Measurement LaboratoryUS30 papers
- Theiss ResearchUS19 papers
- Joint Quantum InstituteUS12 papers
- Northwestern UniversityUS12 papers
- Argonne National LaboratoryUS11 papers
- NIST Center for Neutron ResearchUS11 papers
- Lawrence Berkeley National LaboratoryUS9 papers
- SLAC National Accelerator LaboratoryUS9 papers
- Princeton UniversityUS8 papers
- University of TorontoCA8 papers
18 papers · 1 filter
Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties
Kamal Choudhary, Taner Yildirim, Daniel Siderius +3
The increasing CO2 level is a critical concern and suitable materials are needed to capture such gases from the environment. While experimental and conventional computational metho…
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
Zhen Guo, Jung Ki Song, George Barbastathis +5
Limited-angle X-ray tomography reconstruction is an ill-conditioned inverse problem in general. Especially when the projection angles are limited and the measurements are taken in…
Fast and Accurate Prediction of Material Properties with Three-Body Tight-Binding Model for the Periodic Table
Kevin F. Garrity, Kamal Choudhary
Parameterized tight-binding models fit to first principles calculations can provide an efficient and accurate quantum mechanical method for predicting properties of molecules and s…
Elucidating the local atomic and electronic structure of amorphous oxidized superconducting niobium films
Thomas F. Harrelson, Evan Sheridan, Ellis Kennedy +8
Qubits made from superconducting materials are a mature platform for quantum information science application such as quantum computing. However, materials-based losses are now a li…
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping
A. Gilad Kusne, Austin McDannald, Brian DeCost +5
Application of artificial intelligence (AI), and more specifically machine learning, to the physical sciences has expanded significantly over the past decades. In particular, scien…
The Initiation of Shear Band Formation in Deformed Metallic Glasses from Soft Localized Domains
Xinyi Wang, Hao Zhang, Jack F. Douglas
It has long been thought that shear band (SB) formation in amorphous solids initiates from relatively 'soft' regions in the material in which large-scale non-affine deformations be…
Recent Advances and Applications of Deep Learning Methods in Materials Science
Kamal Choudhary, Brian DeCost, Chi Chen +10
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data mo…
Hybrid-mode-family Kerr optical parametric oscillation for robust coherent light generation on chip
Feng Zhou, Xiyuan Lu, Ashutosh Rao +5
Optical parametric oscillation (OPO) using the third-order nonlinearity () in integrated photonics platforms is an emerging approach for coherent light generation, and has…
Exceptional points in lossy media enable decay-free wave propagation
Alexander Yulaev, Sangsik Kim, Qing Li +4
Waves entering a spatially uniform lossy medium typically undergo exponential decay, arising from either the energy loss of the Beer-Lambert-Bouguer transmission law or the evanesc…
Definitive Detection of Orbital Angular Momentum States in Neutrons by Spin-polarized He
Terrence Jach, John Vinson
A standard method to detect thermal neutrons is the nuclear interaction He(n,p)H. The spin-dependence of this interaction is also the basis of a neutron spin-polarization f…
Magnetic and structural properties of the intermetallic Ce(1-x)LaxCrGe3 series of compounds
B. Bosch-Santos, G. A. Cabrera-Pasca, E. L. Correa +8
The Ce(1-x)LaxCrGe3 (x = 0, 0.19, 0.43, 0.58 and 1) intermetallic compound system has been investigated by magnetization measurements and neutron scattering techniques to determine…
On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning
Austin McDannald, Matthias Frontzek, Andrei T. Savici +8
Neutron scattering is a unique and versatile characterization technique for probing the magnetic structure and dynamics of materials. However, instruments at neutron scattering fac…
Dual-comb cavity ring-down spectroscopy
D. Lisak, D. Charczun, A. Nishiyama +10
Cavity ring-down spectroscopy is a ubiquitous optical method used to study light-matter interactions with high resolution, sensitivity and accuracy. However, it has never been perf…
Atomistic Line Graph Neural Network for Improved Materials Property Predictions
Kamal Choudhary, Brian DeCost
Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machin…
Giant spin Hall angle in the Heusler alloy Weyl ferromagnet CoMnGa
L. Leiva, S. Granville, Y. Zhang +6
Weyl semimetals are playing a major role in condensed matter physics due to exotic topological properties, and their coexistence with ferromagnetism may lead to enhanced spin-relat…
OPTIMADE, an API for exchanging materials data
Casper W. Andersen, Rickard Armiento, Evgeny Blokhin +53
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible an…
Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization
Jordan S. Weaver, Adam L. Pintar, Carlos Beauchamp +3
High-throughput experiments that use combinatorial samples with rapid measurements can be used to provide process-structure-property information at reduced time, cost, and effort.…
Fast Dynamics in a Model Metallic Glass-forming Material
Hao Zhang, Xinyi Wang, Hai-Bin Yu +1
We investigate the fast - and Johari-Goldstein (JG) -relaxation processes, along with the elastic scattering response of glass-forming (GF) liquids and the Boson peak, in a s…