125 citations · 225 across the 9 of their papers we have counts for
11 papers
A-GHOST: High-rate streaming of trigger-level data to programmable GPU inference
I. Xiotidis, N. Clarke Hall, M. S. Larson +11
A-GHOST (A Global Heterogeneous Online Scouting Trigger) is an R&D effort investigating high-rate streaming readout architectures for high-energy physics (HEP) experiments. The cen…
PiMiX 2.02: Toward AI-Driven Data Fusion in Radiographic Imaging and Tomography
Zhehui Wang, Shanny Lin, Nicholas Amano +7
PiMiX (Physics-informed Meta-instrument for eXperiments) was introduced for multi-instrument, multi-experiment, and simulation-experiment data fusion in radiographic imaging and to…
PiMiX 2.0: AI-enhanced Data Fusion for Radiographic Imaging and Tomography
Zhehui Wang, Shanny Lin, Nicholas Amano +8
Extending earlier work in Physics-informed Meta-instrument for eXperiments (PiMiX) [1], PiMiX~2.0 is an artificial-intelligence (AI)-enhanced data-fusion and analysis framework tha…
Measuring the Burgers Vector of Dislocations with Dark-Field X-ray Microscopy
Dayeeta Pal, Yifan Wang, Ramya Gurunathan +1
The behavior of dislocations is essential to understand material properties, but their subsurface dynamics that are representative of bulk phenomena cannot be resolved by conventio…
Recent progress in the JARVIS infrastructure for next-generation data-driven materials design
Daniel Wines, Ramya Gurunathan, Kevin F. Garrity +4
The Joint Automated Repository for Various Integrated Simulations (JARVIS) infrastructure at the National Institute of Standards and Technology (NIST) is a large-scale collection o…
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…
Rapid Prediction of Phonon Structure and Properties using an Atomistic Line Graph Neural Network (ALIGNN)
Ramya Gurunathan, Kamal Choudhary, Francesca Tavazza
The phonon density-of-states (DOS) summarizes the lattice vibrational modes supported by a structure, and gives access to rich information about the material's stability, thermodyn…
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…
Phonon Scattering in the Complex Strain Field of a Dislocation
Yandong Sun, Yanguang Zhou, Ramya Gurunathan +5
Strain engineering is critical to the performance enhancement of electronic and thermoelectric devices because of its influence on the material thermal conductivity. However, curre…
Thermal Resistance at a Twist Boundary and Semicoherent Heterointerface
Ramya Gurunathan, Riley Hanus, Samuel Graham +2
Traditional models of interfacial phonon scattering, including the acoustic mismatch model (AMM) and diffuse mismatch model (DMM), take into account the bulk properties of the mate…
Analytical Models of Phonon-Point Defect Scattering
Ramya Gurunathan, Riley Hanus, Maxwell Dylla +2
Point defects exist widely in engineering materials and are known to scatter vibrational modes to reduce thermal conductivity. The Klemens description of point defect scattering is…