Paris Perdikaris
University of Pennsylvania
ORCID: 0000-0002-2816-3229Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Papers
Driven by 7 papers. Top paper: “Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations”.
Paris Perdikaris, G.E. Karniadakis, George Em Karniadakis, Maziar Raissi
Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Dura-Bernal, Salvador +7 more
Francisco Sahli Costabal, Hanwen Wang, Kevin Linka, Mathias Peirlinck, Ellen Kuhl +2 more
Francisco Sahli Costabal, Hanwen Wang, Kevin Linka, Mathias Peirlinck, Ellen Kuhl +2 more
Eileen Hwuang, Elizabeth Thompson, Nadav Schwartz, John A. Detre, Walter R. Witschey +2 more
Anindro Bhattacharya, Fengling Hu, Russell T. Shinohara, Paris Perdikaris, Kevin K. Whitehead +4 more
Anindro Bhattacharya, Georgios Kissas, Elizabeth Thompson, Cameron Beeche, Sophia Swago +34 more