Daniel Sparkman

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 2

Top Topics

Inverse Problems

Surface Features

Emission Tomography

Top Venues

IEEE Signal Process. Mag.

Publications

Khemraj Shukla, Ameya D. Jagtap, James L. Blackshire, Daniel Sparkman, George Em Karniadakis
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems. IEEE Signal Process. Mag. 39 (1) (2022)
Khemraj Shukla, Patricio Clark Di Leoni, James L. Blackshire, Daniel Sparkman, George Em Karniadakis
Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks. CoRR (2020)