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On the potential of physics-informed neural networks to solve inverse problems in tokamaks

• Authors : Riccardo Rossi; Michela Gelfusa; Andrea Murari

Subjects: inverse problems; equilibrium reconstructions; tomography

• Source: Nuclear Fusion, Vol 63, Iss 12, p 126059 (2023)

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Pocket Guide to Solve Inverse Problems with GlobalBioIm

• Authors : Soubies, Emmanuel; Soulez, Ferréol; Mccann, Michael T. ...

Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

• Source: ISSN: 0266-5611.

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Parameterizations for ensemble Kalman inversion

• Authors : Chada, N. K. (Neil K); Iglesias, M. A. (Marco A); Roininen, L. (Lassi)

Subjects: centered and non-centered parameterizations; discontinuous reconstructions; ensemble Kalman inversion

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Structural damage inverse detection from noisy vibration measurement with physics-informed neural networks

• Authors : Yuan, Lei; Ni, Yi-Qing; Rui, En-Ze

• Source: Journal of Physics: Conference Series ; volume 2647, issue 19, page 192013 ; ISSN 1742-6588 1742-6596

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Inverse Problem Solving Approach Using Deep Network Trained by GAN Simulated Data

• Authors : Krylov, Sergei; Krylov, Vladimir

• Source: Journal of Physics: Conference Series ; volume 1727, issue 1, page 012002 ; ISSN 1742-6588 1742-6596

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Efficient solution of linear inverse problems using an iterative linear neural network with a generalization training approach

• Authors : Tieng, Quang M; Su, Jiasheng; Vegh, Viktor

• Source: Journal of Physics Communications ; volume 5, issue 3, page 035008 ; ISSN 2399-6528

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Parameterizations for ensemble Kalman inversion

• Authors : Chada, Neil; Iglesias, Marco; Lassi, Roininen

Subjects: Article; PeerReviewed

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Parameterizations for ensemble Kalman inversion

• Authors : Chada, Neil K.; Iglesias, Marco A.; Roininen, Lassi

Subjects: Ensemble Kalman inversion; hierarchical inversion; centered and non-centered parameterizations

• Source: Inverse Problems, 34(5), Art. No. 055009, (2018-05)

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