Characterizing Defects in Materials with Fusion of Thermography and Shearography
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109736
Abstract: Abstract Thermography and shearography are optical techniques for detecting and characterizing subsurface defects in structures. Both techniques possess unique advantages and abilities, as well as limitations, based on their distinct mechanisms. In this study, the… read more here.
Keywords: characterizing defects; defects materials; shearography; thermography shearography ... See more keywords
Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing.
Sign Up to like & getrecommendations! Published in 2020 at "ACS nano"
DOI: 10.1021/acsnano.0c05267
Abstract: Engineered point defects in two-dimensional (2D) materials offer an attractive platform for solid-state devices that exploit tailored opto-electronic, quantum emission, and resistive properties. Naturally occurring defects are also unavoidably important contributors to material properties and… read more here.
Keywords: point defects; machine learning; learning enabled; defects materials ... See more keywords
Analyses of internal structures and defects in materials using physics-informed neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abk0644
Abstract: Characterizing internal structures and defects in materials is a challenging task, often requiring solutions to inverse problems with unknown topology, geometry, material properties, and nonlinear deformation. Here, we present a general framework based on physics-informed… read more here.
Keywords: physics; defects materials; material; geometry ... See more keywords