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
13 papers · 1 filter
Dual electro-optic frequency comb photonic thermometry
Adam J. Fleisher, Zeeshan Ahmed, Tobias Herman +1
We report a precision realization of photonic thermometry using dual-comb spectroscopy to interrogate a -phase-shifted fiber Bragg grating. We achieve read-out stability of 7.5…
AtomVision: A machine vision library for atomistic images
Kamal Choudhary, Ramya Gurunathan, Brian DeCost +1
Computer vision techniques have immense potential for materials design applications. In this work, we introduce an integrated and general-purpose AtomVision library that can be use…
Ring-Exchange Interaction Effects on Magnons in Dirac Magnet CoTiO
Yufei Li, Thuc T. Mai, M. Karaki +20
The magnetic interactions that determine magnetic order and magnon energies typically involve only two spins. While rare, multi-spin interactions can also appear in quantum magnets…
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…
ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
Kamal Choudhary, Mathew L. Kelley
In this work, we present the ChemNLP library that can be used for 1) curating open access datasets for materials and chemistry literature, developing and comparing traditional mach…
aflow++: a C++ framework for autonomous materials design
C. Oses, M. Esters, D. Hicks +17
The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades,…
Mapping Thermoelectric Transport in a Multicomponent Alloy Space
Ramya Gurunathan, Suchismita Sarker, Christopher K. H. Borg +4
Interest in high entropy alloy thermoelectric materials is predicated on achieving ultralow lattice thermal conductivity through large compositional disorder. However, h…
Designing High-Tc Superconductors with BCS-inspired Screening, Density Functional Theory and Deep-learning
Kamal Choudhary, Kevin Garrity
We develop a multi-step workflow for the discovery of conventional superconductors, starting with a Bardeen Cooper Schrieffer inspired pre-screening of 1736 materials with high Deb…
Linearity Characterization and Uncertainty Quantification of Spectroradiometers via Maximum Likelihood and the Non-parametric Bootstrap
Adam L. Pintar, Zachary H. Levine, Howard W. Yoon +1
A technique for characterizing and correcting the linearity of radiometric instruments is known by the names the "flux-addition method" and the "combinatorial technique". In this p…
Interfacial water asymmetry at ideal electrochemical interfaces
Abhishek Shandilya, Kathleen Schwarz, Ravishankar Sundararaman
Controlling electrochemical reactivity requires a detailed understanding of the charging behavior and thermodynamics of the electrochemical interface. Experiments can independently…