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; Daniel Sparkman; George Em Karniadakis

doi:10.1109/msp.2021.3118904

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 Processing Magazine ◽

10.1109/msp.2021.3118904 ◽

2022 ◽

Vol 39 (1) ◽

pp. 68-77

Author(s):

Khemraj Shukla ◽

Ameya D. Jagtap ◽

James L. Blackshire ◽

Daniel Sparkman ◽

George Em Karniadakis

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Microstructural Properties ◽

Polycrystalline Nickel

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The approximation neural-network method for solving nonlinear multi-criteria inverse problems of geophysics

Journal of Physics Conference Series ◽

10.1088/1742-6596/1715/1/012045 ◽

2021 ◽

Vol 1715 ◽

pp. 012045

Author(s):

M I Shimelevich ◽

E A Obornev ◽

I E Obornev ◽

E A Rodionov

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Neural Network Method ◽

Network Method

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On Obtaining Sparse Semantic Solutions for Inverse Problems, Control, and Neural Network Training

Journal of Computational Physics ◽

10.1016/j.jcp.2021.110498 ◽

2021 ◽

pp. 110498

Author(s):

David A.B. Hyde ◽

Michael Bao ◽

Ronald Fedkiw

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Neural Network Training ◽

Network Training

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A neural network algorithm to pattern recognition in inverse problems

Applied Mathematics and Computation ◽

10.1016/j.amc.2013.06.094 ◽

2013 ◽

Vol 221 ◽

pp. 484-490 ◽

Cited By ~ 2

Author(s):

Ali Sever

Keyword(s):

Neural Network ◽

Pattern Recognition ◽

Inverse Problems ◽

Network Algorithm ◽

Neural Network Algorithm

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Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements

Neural Networks ◽

10.1016/s0893-6080(03)00027-3 ◽

2003 ◽

Vol 16 (3-4) ◽

pp. 321-334 ◽

Cited By ~ 85

Author(s):

Vladimir M. Krasnopolsky ◽

Helmut Schiller

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Environmental Sciences ◽

Network Applications ◽

Remote Measurements ◽

Neural Network Applications

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Inverse problems and neural network approach in modeling the constitutive relations of rock and soil

Frontiers of Rock Mechanics and Sustainable Development in the 21st Century ◽

10.1201/9781003077510-110 ◽

2020 ◽

pp. 471-473

Author(s):

Wang Jingtao ◽

Ding Meiying

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Constitutive Relations ◽

Network Approach ◽

Neural Network Approach ◽

Rock And Soil

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Neural network approach for solving inverse problems

10.31274/rtd-180813-7649 ◽

1991 ◽

Author(s):

Ibrahim Mohamed Elshafiey

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Network Approach ◽

Neural Network Approach

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Prediction of ultrasonic velocities in ternary oxide glasses using microstructural properties of the constituents as predictor variables; Artificial Neural Network (ANN) approach

Scientia Iranica ◽

10.1016/j.scient.2011.11.041 ◽

2012 ◽

Vol 19 (1) ◽

pp. 127-131 ◽

Cited By ~ 1

Author(s):

K.T. Arulmozhi ◽

R. Sheelarani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Predictor Variables ◽

Ternary Oxide ◽

Oxide Glasses ◽

Microstructural Properties ◽

Ultrasonic Velocities ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Modeling of the microstructural properties of (x)ZnO(1 − x)Fe 2 O 3 nanocrystallines by artificial neural network and response surface methodology

Measurement ◽

10.1016/j.measurement.2016.09.041 ◽

2017 ◽

Vol 95 ◽

pp. 70-76 ◽

Cited By ~ 2

Author(s):

M.A. Louly ◽

O.M. Lemine ◽

A. Gharbi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Microstructural Properties ◽

Artificial Neural

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Neural network based solution to inverse problems

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) ◽

10.1109/ijcnn.1998.687250 ◽

2002 ◽

Cited By ~ 6

Author(s):

T. Ogawa ◽

Y. Kosugi ◽

H. Kanada

Keyword(s):

Neural Network ◽

Inverse Problems

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An efficient, probabilistic neural network approach to solving inverse problems: Inverting surface wave velocities for Eurasian crustal thickness

Journal of Geophysical Research Atmospheres ◽

10.1029/1999jb900273 ◽

1999 ◽

Vol 104 (B12) ◽

pp. 28841-28857 ◽

Cited By ~ 28

Author(s):

R. J. R. Devilee ◽

A. Curtis ◽

K. Roy-Chowdhury

Keyword(s):

Neural Network ◽

Surface Wave ◽

Inverse Problems ◽

Probabilistic Neural Network ◽

Crustal Thickness ◽

Network Approach ◽

Neural Network Approach ◽

Wave Velocities

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