George Em Karniadakis (George E Karniadakis, George Karniadakis)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

PLoS computational biology

Nature computational science

This page only lists publications with an associated author ORCID identifier.

Publications

Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis
AI-Aristotle: A physics-informed framework for systems biology gray-box identification. PLoS computational biology 20 (3) (2024)
Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis
AI-Aristotle: A physics-informed framework for systems biology gray-box identification. PLoS computational biology 20 (3) (2024)
Nikolas Borrel-Jensen, Somdatta Goswami, Allan P Engsig-Karup, George Em Karniadakis, Cheol-Ho Jeong
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators. Proceedings of the National Academy of Sciences of the United States of America 121 (2) (2024)
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, Michael D Shields
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems. Nature communications 15 (1) (2024)
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, Michael D Shields
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems. Nature communications 15 (1) (2024)
Nikolas Borrel-Jensen, Somdatta Goswami, Allan P Engsig-Karup, George Em Karniadakis, Cheol-Ho Jeong
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators. Proceedings of the National Academy of Sciences of the United States of America 121 (2) (2024)
Nikolas Borrel-Jensen, Somdatta Goswami, Allan P Engsig-Karup, George Em Karniadakis, Cheol-Ho Jeong
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators. Proceedings of the National Academy of Sciences of the United States of America 121 (2) (2024)
Shankar Subramaniam, Metin Akay, Mark A Anastasio, Vasudev Bailey, David A Boas, Ashutosh Chilkoti, Jennifer R Cochran, Vicki L Colvin, Tejal A Desai, James S Duncan, Frederick H Epstein, Stephanie I Fraley, Cecilia Maria Giachelli, Kathryn Jane Grande-Allen, Jordan J Green, Xiang-Dong Edward Guo, Isaac B Hilton, Jay D Humphrey, Chris R Johnson, George Em Karniadakis, Michael R King, Robert F Kirsch, Sanjay Kumar, Cato T Laurencin, Song Li, Richard L Lieber, Nigel H Lovell, Prashant Mali, Stephanie A Pasquesi, David F Meaney, Brenda M Ogle, Bernhard O Palsson, Nicholas A Peppas, Eric J Perreault, Richard D Rabbitt, Lori A Setton, Lonnie D Shea, Sanjeev G Shroff, Kirk Shung, Andreas Savas Tolias, Marjolein C H van der Meulen, Shyni Varghese, Gordana Vunjak-Novakovic, John A White, Raimond L Winslow, Jianyi Jay Zhang, Kun Zhang, Charles Zukoski
Grand Challenges at the Interface of Engineering and Medicine. IEEE open journal of engineering in medicine and biology 5 (2024)
Yu Zhang, Yuhao Qiang, He Li, Guansheng Li, Lu Lu, Ming Dao, George Em Karniadakis, Aleksander S Popel, Chen Zhao
Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease. PNAS nexus 3 (2) (2024)
Yu Zhang, Yuhao Qiang, He Li, Guansheng Li, Lu Lu, Ming Dao, George Em Karniadakis, Aleksander S Popel, Chen Zhao
Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease. PNAS nexus 3 (2) (2024)
Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis
AI-Aristotle: A physics-informed framework for systems biology gray-box identification. PLoS computational biology 20 (3) (2024)
Yu Zhang, Yuhao Qiang, He Li, Guansheng Li, Lu Lu, Ming Dao, George Em Karniadakis, Aleksander S Popel, Chen Zhao
Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease. PNAS nexus 3 (2) (2024)
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, Michael D Shields
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems. Nature communications 15 (1) (2024)
Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis
AI-Aristotle: A physics-informed framework for systems biology gray-box identification. PLoS computational biology 20 (3) (2024)
Nikolas Borrel-Jensen, Somdatta Goswami, Allan P Engsig-Karup, George Em Karniadakis, Cheol-Ho Jeong
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators. Proceedings of the National Academy of Sciences of the United States of America 121 (2) (2024)
Yu Zhang, Yuhao Qiang, He Li, Guansheng Li, Lu Lu, Ming Dao, George Em Karniadakis, Aleksander S Popel, Chen Zhao
Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease. PNAS nexus 3 (2) (2024)
Kimberly A Stevens Boster, Shengze Cai, Antonio Ladrón-de-Guevara, Jiatong Sun, Xiaoning Zheng, Ting Du, John H Thomas, Maiken Nedergaard, George Em Karniadakis, Douglas H Kelley
Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Kimberly A Stevens Boster, Shengze Cai, Antonio Ladrón-de-Guevara, Jiatong Sun, Xiaoning Zheng, Ting Du, John H Thomas, Maiken Nedergaard, George Em Karniadakis, Douglas H Kelley
Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Kimberly A Stevens Boster, Shengze Cai, Antonio Ladrón-de-Guevara, Jiatong Sun, Xiaoning Zheng, Ting Du, John H Thomas, Maiken Nedergaard, George Em Karniadakis, Douglas H Kelley
Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Guansheng Li, Yuhao Qiang, He Li, Xuejin Li, Pierre A Buffet, Ming Dao, George Em Karniadakis
A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell disease. PLoS computational biology 19 (12) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Yuhao Qiang, Abdoulaye Sissoko, Zixiang L Liu, Ting Dong, Fuyin Zheng, Fang Kong, John M Higgins, George Em Karniadakis, Pierre A Buffet, Subra Suresh, Ming Dao
Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proceedings of the National Academy of Sciences of the United States of America 120 (6) (2023)
Ethan M Pickering, Stephen Guth, George Em Karniadakis, Themistoklis P Sapsis
Discovering and forecasting extreme events via active learning in neural operators. Nature computational science 2 (12) (2022)
Zhen Zhang, Yeonjong Shin, George Em Karniadakis
GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 380 (2229) (2022)
Minglang Yin, Ehsan Ban, Bruno V Rego, Enrui Zhang, Cristina Cavinato, Jay D Humphrey, George Em Karniadakis
Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator-regression neural network. Journal of the Royal Society, Interface 19 (187) (2022)
Enrui Zhang, Bart Spronck, Jay D Humphrey, George Em Karniadakis
G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning. PLoS computational biology 18 (10) (2022)
Ethan M Pickering, Stephen Guth, George Em Karniadakis, Themistoklis P Sapsis
Discovering and forecasting extreme events via active learning in neural operators. Nature computational science 2 (12) (2022)
He Li, Yi-Xiang Deng, Konstantina Sampani, Shengze Cai, Zhen Li, Jennifer K Sun, George Em Karniadakis
Computational investigation of blood cell transport in retinal microaneurysms. PLoS computational biology 18 (1) (2022)
Ethan M Pickering, Stephen Guth, George Em Karniadakis, Themistoklis P Sapsis
Discovering and forecasting extreme events via active learning in neural operators. Nature computational science 2 (12) (2022)
He Li, Yi-Xiang Deng, Zhen Li, Ander Dorken- Gallastegi, Christos S Mantzoros, Galit H Frydman, George Em Karniadakis
Multiphysics and multiscale modeling of microthrombosis in COVID-19. PLoS computational biology 18 (3) (2022)
Somdatta Goswami, David S Li, Bruno V Rego, Marcos Latorre, Jay D Humphrey, George Em Karniadakis
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms. Journal of the Royal Society, Interface 19 (193) (2022)
Enrui Zhang, Ming Dao, George Em Karniadakis, Subra Suresh
Analyses of internal structures and defects in materials using physics-informed neural networks. Science advances 8 (7) (2022)
Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis
Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature computational science 1 (11) (2021)
Shengze Cai, He Li, Fuyin Zheng, Fang Kong, Ming Dao, George Em Karniadakis, Subra Suresh
Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease. Proceedings of the National Academy of Sciences of the United States of America 118 (13) (2021)
Yi-Xiang Deng, Lu Lu, Laura Aponte, Angeliki M Angelidi, Vera Novak, George Em Karniadakis, Christos S Mantzoros
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients. NPJ digital medicine 4 (1) (2021)
He Li, Zixiang Leonardo Liu, Lu Lu, Pierre Buffet, George Em Karniadakis
How the spleen reshapes and retains young and old red blood cells: A computational investigation. PLoS computational biology 17 (11) (2021)
Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George Em Karniadakis
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. PLoS computational biology 17 (9) (2021)
Xiaoning Zheng, Alireza Yazdani, He Li, Jay D Humphrey, George Em Karniadakis
A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels. PLoS computational biology 16 (4) (2020)
Lu Lu, Ming Dao, Punit Kumar, Upadrasta Ramamurty, George Em Karniadakis, Subra Suresh
Extraction of mechanical properties of materials through deep learning from instrumented indentation. Proceedings of the National Academy of Sciences of the United States of America 117 (13) (2020)
Maziar Raissi, Alireza Yazdani, George Em Karniadakis
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations. Science (New York, N.Y.) 367 (6481) (2020)
Dixia Fan, Liu Yang, Zhicheng Wang, Michael S Triantafyllou, George Em Karniadakis
Reinforcement learning for bluff body active flow control in experiments and simulations. Proceedings of the National Academy of Sciences of the United States of America 117 (42) (2020)
Alireza Yazdani, Lu Lu, Maziar Raissi, George Em Karniadakis
Systems biology informed deep learning for inferring parameters and hidden dynamics. PLoS computational biology 16 (11) (2020)
Lu Lu, Zhen Li, He Li, Xuejin Li, Peter G Vekilov, George Em Karniadakis
Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies. Science advances 5 (8) (2019)
Seungjoon Lee, Felix Dietrich, George Em Karniadakis, Ioannis G Kevrekidis
Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion. Interface focus 9 (3) (2019)
Kaixuan Zhang, Zhen Li, Martin Maxey, Shuo Chen, George Em Karniadakis
Self-Cleaning of Hydrophobic Rough Surfaces by Coalescence-Induced Wetting Transition. Langmuir : the ACS journal of surfaces and colloids 35 (6) (2019)
Lu Lu, Yixiang Deng, Xuejin Li, He Li, George Em Karniadakis
Understanding the Twisted Structure of Amyloid Fibrils via Molecular Simulations. The journal of physical chemistry. B 122 (49) (2018)
Mengjia Xu, Dimitrios P Papageorgiou, Sabia Z Abidi, Ming Dao, Hong Zhao, George Em Karniadakis
A deep convolutional neural network for classification of red blood cells in sickle cell anemia. PLoS computational biology 13 (10) (2017)
Alireza Yazdani, He Li, Jay D Humphrey, George Em Karniadakis
A General Shear-Dependent Model for Thrombus Formation. PLoS computational biology 13 (1) (2017)