activity
20192022
most citedImage-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships

50 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2022★ 17 cited

Resolving diverse oxygen transport pathways across Sr-doped lanthanum ferrite and metal-perovskite heterostructures

Sandra D. Taylor, Kayla H. Yano, Michel Sassi +7

Perovskite structured transition metal oxides are important technological materials for catalysis and solid oxide fuel cell applications. Their functionality often depends on oxyge…

physics.plasm-ph2022★ 33 cited

Spatiotemporal evolution of emission and absorption signatures in a laser-produced plasma

Sivanandan S. Harilal, Elizabeth J. Kautz, Mark C. Phillips

We report spatiotemporal evolution of emission and absorption signatures of Al species in a nanosecond (ns) laser-produced plasma (LPP). The plasmas were generated from an Inconel…

cond-mat.mtrl-sci2021

The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective

Arun Baskaran, Elizabeth J. Kautz, Aritra Chowdhary +3

The recent surge in the adoption of machine learning techniques for materials design, discovery, and characterization has resulted in an increased interest and application of Image…

physics.app-ph2020★ 50 cited

Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships

Wufei Ma, Elizabeth Kautz, Arun Baskaran +4

We investigate methods of microstructure representation for the purpose of predicting processing condition from microstructure image data. A binary alloy (uranium-molybdenum) that…

physics.app-ph2019

An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

Elizabeth Kautz, Wufei Ma, Saumyadeep Jana +4

Micrograph quantification is an essential component of several materials science studies. Machine learning methods, in particular convolutional neural networks, have previously dem…

physics.app-ph2019★ 1 cited

Nanoscale spatially resolved mapping of uranium enrichment in actinide-bearing materials

Elizabeth Kautz, Douglas Burkes, Vineet Joshi +2

Spatially resolved analysis of uranium isotopes in small volumes of actinide-bearing materials is critical for a variety of technical disciplines, including earth and planetary sci…