George Em Karniadakis

Most-cited papers

1. Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks

   Ameya Dilip Jagtap, Kenji Kawaguchi, George Em Karniadakis

   2020Proceedings of the Royal Society A353 citations Open access

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2. Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks

   Minglang Yin, Xiaoning Zheng, J. Humphrey, George Em Karniadakis

   2020Computer Methods in Applied Mechanics and Engineering188 citations Open access

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3. Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems

   Katiana Kontolati, S. Goswami, George Em Karniadakis, Michael D. Shields

   2024Nature Communications169 citations Open access

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4. Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

   Mohammadamin Mahmoudabadbozchelou, Marco Caggioni, S. Shahsavari, W. Hartt +2 more

   2021107 citations

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5. GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems

   Zhen Zhang, Yeonjong Shin, George Em Karniadakis

   2021Philosophical Transactions of the Royal Society A92 citations Open access

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6. Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator–regression neural network

   Minglang Yin, Ehsan Ban, B. Rego, Enrui Zhang +3 more

   2021Journal of the Royal Society Interface70 citations Open access

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7. Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood

   Alireza Yazdani, Yixiang Deng, He Li, E. Javadi +6 more

   2021Journal of the Royal Society Interface69 citations Open access

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8. Computational Biomechanics of Human Red Blood Cells in Hematological Disorders.

   Xuejin Li, He Li, Hung-Yu Chang, G. Lykotrafitis +1 more

   2017Journal of Biomechanical Engineering55 citations Open access

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9. A bidirectional model for communication in the neurovascular unit.

   Alexandra Witthoft, George Em Karniadakis

   2012Journal of Theoretical Biology37 citations

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10. Direct numerical simulations of two-phase flow in an inclined pipe

    Fang-Fang Xie, Xiaoning Zheng, M. Triantafyllou, Y. Constantinides +2 more

    2017Journal of Fluid Mechanics28 citations

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11. An entropy-viscosity large eddy simulation study of turbulent flow in a flexible pipe

    Zhi-Cheng Wang, M. Triantafyllou, Y. Constantinides, George Em Karniadakis

    2018Journal of Fluid Mechanics23 citations

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12. Dynamic and rheological properties of soft biological cell suspensions

    Alireza Yazdani, Xuejin Li, George Em Karniadakis

    2015Rheologica Acta20 citations Open access

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13. Safe Physics-Informed Machine Learning for Optimal Predefined-Time Stabilization: A Lyapunov-Based Approach

    Nikolaos-Marios T. Kokolakis, Zhen Zhang, Shan-Qing Liu, K. Vamvoudakis +2 more

    2025IEEE Transactions on Neural Networks and Learning Systems7 citations

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14. A Mathematical Model for Predicting Complex Dynamic Systems Using Hybrid Computational Approaches

    George Em Karniadakis, E. Torfs, L. Marchetti

    2026Global Synthesis in Education Journal0 citations Open access

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