Daniel Sparkman

According to our database¹, Daniel Sparkman authored at least 2 papers between 2020 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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2022

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

[BibT_eX]

[DOI]

George Em Karniadakis

IEEE Signal Process. Mag., 2022

2020

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks.

[BibT_eX]

[DOI]

Khemraj Shukla

Patricio Clark Di Leoni

James L. Blackshire

Daniel Sparkman

George Em Karniadakis

CoRR, 2020

Daniel Sparkman

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