Paris Perdikaris
About
Paris Perdikaris has authored 68 papers that have received a total of 12.7k indexed citations.
This includes 37 papers in Statistical and Nonlinear Physics, 20 papers in Artificial Intelligence and 16 papers in Statistics, Probability and Uncertainty. The topics of these papers are Model Reduction and Neural Networks (36 papers), Probabilistic and Robust Engineering Design (16 papers) and Gaussian Processes and Bayesian Inference (15 papers). Paris Perdikaris is often cited by papers focused on Model Reduction and Neural Networks (36 papers), Probabilistic and Robust Engineering Design (16 papers) and Gaussian Processes and Bayesian Inference (15 papers) and collaborates with scholars based in United States, Chile and Switzerland. Paris Perdikaris's co-authors include George Em Karniadakis, Sifan Wang, Francisco Sahli Costabal, Ellen Kuhl and Yibo Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Computational Physics
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