A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems-Reference-Cited by-同舟云学术

A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems

Published:2022-01 Issue:1 Volume:39 Page:68-77
ISSN:1053-5888
Container-title:IEEE Signal Processing Magazine
language:
Short-container-title:IEEE Signal Process. Mag.

Author:

Shukla Khemraj,Jagtap Ameya D.,Blackshire James L.,Sparkman Daniel,Em Karniadakis George

Funder

Office of Under Secretary of Defense/Air Force Office of Scientific Research Multidisciplinary University Research Initiative

U.S. Department of Energy

Defense University Research Instrumentation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/79/9664581/9664609-aam.pdf

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