George Em Karniadakis

Brown University

Physics and AstronomyComputer ScienceDecision SciencesMaterials ScienceMathematics

Pilot 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.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 43 papers. Top paper: “Multi-fidelity Bayesian neural networks: Algorithms and applications”.

Multi-fidelity Bayesian neural networks: Algorithms and applications

Journal of Computational Physics(2021)10.1016/j.jcp.2021.110361

N/A

5.5DataRank · unranked

188 citations

Hessam Babaee, George Em Karniadakis, Xuhui Meng

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

Journal of The Royal Society Interface(2022)10.1098/rsif.2021.0670

N/A

1.8DataRank · unranked

48 citations

Ehsan Ban, Bruno V. Rego, Enrui Zhang, Cristina Cavinato, Jay D. Humphrey +2 more

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Journal of Computational Physics(2019)10.1016/j.jcp.2018.10.045

N/A

1.4DataRank · unranked

15614 citations

Paris Perdikaris, G.E. Karniadakis, George Em Karniadakis, Maziar Raissi

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Science(2020)10.1126/science.aaw4741

N/A

1.1DataRank · unranked

1863 citations

Alireza Yazdani, George Em Karniadakis, Maziar Raissi

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(2023)10.1073/pnas.2217607120

N/A

1.1DataRank · unranked

53 citations

Abdoulaye Sissoko, Zixiang Liu, Ting Dong, Fuyin Zheng, Fang Kong +6 more

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Journal of Computational Physics(2020)10.1016/j.jcp.2020.109913

N/A

1.0DataRank · unranked

994 citations

Xuhui Meng, George Em Karniadakis, Liu Yang

A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

Computer Methods in Applied Mechanics and Engineering(2022)10.1016/j.cma.2022.114587

N/A

0.899DataRank · unranked

401 citations

Minglang Yin, Yue Yu, George Em Karniadakis, Somdatta Goswami

Multiscale modeling meets machine learning: What can we learn?

Archives of Computational Methods in Engineering(2020)10.1007/s11831-020-09405-5

N/A

0.880DataRank · unranked

352 citations

Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Dura-Bernal, Salvador +7 more

From PINNs to PIKANs: recent advances in physics-informed machine learning

Machine learning for computational science and engineering(2025)10.1007/s44379-025-00015-1

N/A

0.788DataRank · unranked

190 citations

Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu +2 more

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks

SIAM Journal on Scientific Computing(2021)10.1137/20m1360153

N/A

0.723DataRank · unranked

123 citations

Liu Yang, Jinqiao Duan, George Em Karniadakis, Xiaoli Chen

Learning functional priors and posteriors from data and physics

Journal of Computational Physics(2022)10.1016/j.jcp.2022.111073

N/A

0.606DataRank · unranked

56 citations

Liu Yang, Zhiping Mao, José del Águila Ferrandis, George Em Karniadakis, Xuhui Meng

Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms

Journal of The Royal Society Interface(2022)10.1098/rsif.2022.0410

N/A

0.529DataRank · unranked

33 citations

David S. Li, Bruno V. Rego, Marcos Latorre, Jay D. Humphrey, George Em Karniadakis +1 more

KKANs: Kurková-Kolmogorov-Arnold networks and their learning dynamics

Neural Networks(2025)10.1016/j.neunet.2025.107831

N/A

0.515DataRank · unranked

30 citations

Li-Lian Wang, George Em Karniadakis, Juan Diego Toscano

A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes

Journal of the Mechanics and Physics of Solids(2023)10.1016/j.jmps.2023.105424

N/A

0.425DataRank · unranked

16 citations

Zongren Zou, Enrui Zhang, Cristina Cavinato, Jay D. Humphrey, George Em Karniadakis +1 more

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences(2025)10.1098/rsta.2024.0221

N/A

0.373DataRank · unranked

11 citations

Zongren Zou, Daniele E. Schiavazzi, George Em Karniadakis, Mario De Florio

Red blood cell passage through deformable interendothelial slits in the spleen: Insights into splenic filtration and hemodynamics

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.109198

N/A

0.360DataRank · unranked

10 citations

Li He, Papa Alioune Ndour, Mélanie Franco, Xuejin Li, Ian Macdonald +4 more

G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010660

N/A

0.360DataRank · unranked

10 citations

Bart Spronck, Jay D. Humphrey, George Em Karniadakis, Enrui Zhang

Correcting model misspecification in physics-informed neural networks (PINNs)

arXiv (Cornell University)(2023)10.48550/arxiv.2310.10776

N/A

0.241DataRank · unranked

4 citations

Xuhui Meng, George Em Karniadakis, Zongren Zou

Artificial intelligence-assisted multiscale lung modeling to predict alveolar septal wall stress

Acta Biomaterialia(2025)10.1016/j.actbio.2025.11.030

N/A

0.208DataRank · unranked

3 citations

Mostafa Ismail, Nikhil Kadivar, Elizabeth McGinn, L. Loza, Kyle J. Myers +5 more

Representation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacology

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.111393

N/A

0.165DataRank · unranked

2 citations

Khemraj Shukla, George Em Karniadakis, Nazanin Ahmadi Daryakenari

In silico biophysics and rheology of blood and red blood cells in Gaucher Disease

PLoS Computational Biology(2025)10.1371/journal.pcbi.1012705

N/A

0DataRank · unranked

5 citations

Guansheng Li, Papa Alioune Ndour, Philippe Connes, Pierre Buffet, Mélanie Franco +2 more

FMEnets: Flow, material, and energy networks for non-ideal plug flow reactor design

Chemical Engineering Science(2025)10.1016/j.ces.2025.122348

N/A

0DataRank · unranked

3 citations

Juan Diego Toscano, Khemraj Shukla, Yingjie Chen, Ali Shahmohammadi, Edward Raymond +5 more

Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators

PLoS Computational Biology(2025)10.1371/journal.pcbi.1013550

N/A

0DataRank · unranked

2 citations

Somdatta Goswami, Qianying Cao, Vivek Oommen, Roland Assi, Jay D. Humphrey +2 more

Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators

arXiv (Cornell University)(2025)10.48550/arxiv.2509.26576

N/A

0DataRank · unranked

0 citations

Somdatta Goswami, Qianying Cao, Vivek Oommen, Roland Assi, Jay D. Humphrey +2 more

Non-invasive inference of thrombus material properties with physics-informed neural networks

Computer Methods in Applied Mechanics and Engineering(2020)10.1016/j.cma.2020.113603

N/A

0DataRank · unranked

181 citations

Xiaoning Zheng, Jay D. Humphrey, George Em Karniadakis, Minglang Yin

Systems biology informed deep learning for inferring parameters and hidden dynamics

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007575

N/A

0DataRank · unranked

317 citations

Lu Lu, Maziar Raissi, George Em Karniadakis, Alireza Yazdani

A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007709

N/A

0DataRank · unranked

66 citations

Alireza Yazdani, He Li, Jay D. Humphrey, George Em Karniadakis, Xiaoning Zheng

Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients

npj Digital Medicine(2021)10.1038/s41746-021-00480-x

N/A

0DataRank · unranked

153 citations

Lu Lu, Laura Aponte Becerra, Angeliki M. Angelidi, Vera Novak, George Em Karniadakis +2 more

In silico biophysics and hemorheology of blood hyperviscosity syndrome

Biophysical Journal(2021)10.1016/j.bpj.2021.05.013

N/A

0DataRank · unranked

28 citations

Yixiang Deng, George Em Karniadakis, Safa Jamali, Elahe Javadi

Computational modeling of biomechanics and biorheology of heated red blood cells

Biophysical Journal(2021)10.1016/j.bpj.2021.09.038

N/A

0DataRank · unranked

25 citations

He Li, Yuhao Qiang, Pierre Buffet, Ming Dao, George Em Karniadakis +1 more

Interfacing finite elements with deep neural operators for fast multiscale modeling of mechanics problems

Computer Methods in Applied Mechanics and Engineering(2022)10.1016/j.cma.2022.115027

N/A

0DataRank · unranked

109 citations

Enrui Zhang, Yue Yu, George Em Karniadakis, Minglang Yin

Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19

Biophysical Journal(2022)10.1016/j.bpj.2022.08.031

N/A

0DataRank · unranked

18 citations

He Li, Ander Dorken‐Gallastegi, Galit H. Frydman, Safa Jamali, George Em Karniadakis +1 more

In silico and in vitro study of the adhesion dynamics of erythrophagocytosis in sickle cell disease

Biophysical Journal(2023)10.1016/j.bpj.2023.05.022

N/A

0DataRank · unranked

23 citations

Yuhao Qiang, He Li, Xuejin Li, Ming Dao, George Em Karniadakis +1 more

Correcting model misspecification in physics-informed neural networks (PINNs)

Journal of Computational Physics(2024)10.1016/j.jcp.2024.112918

N/A

0DataRank · unranked

66 citations

Xuhui Meng, George Em Karniadakis, Zongren Zou

AI-Aristotle: A physics-informed framework for systems biology gray-box identification

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011916

N/A

0DataRank · unranked

53 citations

Mario De Florio, Khemraj Shukla, George Em Karniadakis, Nazanin Ahmadi Daryakenari

CMINNs: Compartment model informed neural networks — Unlocking drug dynamics

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.109392

N/A

0DataRank · unranked

18 citations

Shupeng Wang, George Em Karniadakis, Nazanin Ahmadi Daryakenari

Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease

PNAS Nexus(2024)10.1093/pnasnexus/pgae031

N/A

0DataRank · unranked

11 citations

Yuhao Qiang, He Li, Guansheng Li, Lu Lu, Ming Dao +4 more

Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification

Interface Focus(2024)10.1098/rsfs.2024.0030

N/A

0DataRank · unranked

9 citations

Chenxi Wu, Antonio Ladrón-de-Guevara, Ting Du, Maiken Nedergaard, Douglas H. Kelley +3 more

Two-component macrophage model for active phagocytosis with pseudopod formation

Biophysical Journal(2024)10.1016/j.bpj.2024.03.026

N/A

0DataRank · unranked

8 citations

Shuhao Ma, He Li, Ming Dao, Xuejin Li, George Em Karniadakis +1 more

Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learning

Research Square(2024)10.21203/rs.3.rs-4468678/v1

N/A

0DataRank · unranked

2 citations

Nikhil Kadivar, Tanmay Mukherjee, Emilio A. Mendiola, Dipan J. Shah, George Em Karniadakis +2 more

In silico biophysics and rheology of blood and red blood cells in Gaucher Disease

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.10.627687

N/A

0DataRank · unranked

2 citations

Guansheng Li, Papa Alioune Ndour, Philippe Connes, Pierre Buffet, Mélanie Franco +2 more

Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning

Advanced Science(2025)10.1002/advs.202406933

N/A

0DataRank · unranked

10 citations

Nikhil Kadivar, Tanmay Mukherjee, Emilio A. Mendiola, Akila Bersali, Dipan J. Shah +3 more

Learning in PINNs: Phase transition, diffusion equilibrium, and generalization

Neural Networks(2025)10.1016/j.neunet.2025.107983

N/A

0DataRank · unranked

9 citations

Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis, Sokratis Anagnostopoulos