Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years
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Mathematics of digital twins and transfer learning for systems governed by PDE models
Zong, Y. & Tartakovsky, A. M., Jan 1 2026, In: Computer Methods in Applied Mechanics and Engineering. 448, 118450.Research output: Contribution to journal › Article › peer-review
Open Access -
Chance constrained load frequency control of power systems with wind resources
Ma, T., Barajas-Solano, D. A. & Tartakovsky, A. M., Jan 2025, In: Journal of the Franklin Institute. 362, 2, 107478.Research output: Contribution to journal › Article › peer-review
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Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation
Wang, Y., Zong, Y., McCreight, J. L., Hughes, J. D., Fienen, M. & Tartakovsky, A. M., Sep 2025, In: Advances in Water Resources. 203, 105024.Research output: Contribution to journal › Article › peer-review
Open Access -
Randomized physics-informed neural networks for Bayesian data assimilation
Zong, Y., Barajas-Solano, D. & Tartakovsky, A. M., Mar 1 2025, In: Computer Methods in Applied Mechanics and Engineering. 436, 117670.Research output: Contribution to journal › Article › peer-review
Open Access -
Solving high-dimensional inverse problems using amortized likelihood-free inference with noisy and incomplete data
Zeng, J., Wang, Y., Tartakovsky, A. M. & Barajas-Solano, D. A., Aug 1 2025, In: Computer Methods in Applied Mechanics and Engineering. 443, 118064.Research output: Contribution to journal › Article › peer-review