Daniel Sparkman

Statistics

Publications

Citations

268

H-Index

Active since

2010

Affiliations

United States Air Force Research Laboratory(Current)

Brown University

John Brown University

The University of Texas at San Antonio

Daniel Sparkman is an author at United States Air Force Research Laboratory specializing in materials science, ultrasonics, and materials engineering.

ORCID

Publications per year

2010–2021

Publications

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

Khemraj Shukla, Ameya D. Jagtap, James L. Blackshire et al. · IEEE Signal Processing Magazine · 2021 · 119 citations

Natural Sciences, Materials Engineering, Materials Science +17

Machine learning and NDE: Past, present, and future

Joel B. Harley, Daniel Sparkman · AIP conference proceedings · 2019 · 61 citations · Full text

Computing, Computer Science, Artificial Intelligence +8

Application of Serial Sectioning to Evaluate the Performance of x-ray Computed Tomography for Quantitative Porosity Measurements in Additively Manufactured Metals

Bryce Jolley, Michael D. Uchic, Daniel Sparkman et al. · JOM · 2021 · 21 citations

Engineering, Materials Engineering, Materials Science +17

Random field assessment of nanoscopic inhomogeneity of bone

Xuesong Dong, Qing Luo, Daniel Sparkman et al. · Bone · 2010 · 19 citations · Full text

Medicine, Biomedical Engineering, Biophysics +14

Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks

Khemraj Shukla, Patricio Clark Di Leoni, James L. Blackshire et al. · Journal of Nondestructive Evaluation · 2020 · 15 citations · Full text

Natural Sciences, Computational Engineering, Physics +16

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