George Em Karniadakis
Identifiers
- name variant George Em Karniadakis 0.60 · backfill
Papers (56)
- Quantifying the biophysical properties of stomatocytes in health and disease q-bio.CB · 2026 · author #5
- Spectral Audit of In-Context Operator Networks math.NA · 2026 · author #3
- Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach cs.CE · 2026 · author #2
- PI-SONet: A Physics-Informed Symplectic Operator Network for Real-Time Optimal Control of Multi-Agent Systems math.OC · 2026 · author #6
- UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning cs.LG · 2026 · author #2
- GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms cs.LG · 2026 · author #3
- NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces math.NA · 2026 · author #4
- Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks physics.comp-ph · 2026 · author #5
- Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles cs.LG · 2026 · author #5
- Agentic Risk-Aware Set-Based Engineering Design cs.AI · 2026 · author #2
- Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks cs.LG · 2026 · author #8
- PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods math.OC · 2026 · author #5
- Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics cs.LG · 2025 · author #4
- Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network cs.CE · 2025 · author #10
- ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms cs.LG · 2025 · author #3
- Effect of Turbulence-Closure Consistency on Airfoil Identification physics.flu-dyn · 2025 · author #2
- Body-Free Simulation of Three-Dimensional Turbulent Cylinder Wakes physics.flu-dyn · 2025 · author #5
- AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics cs.LG · 2025 · author #5
- Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing cs.LG · 2025 · author #4
- DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators cs.LG · 2019 · author #3
- A stabilized semi-implicit Fourier spectral method for nonlinear space-fractional reaction-diffusion equations math.NA · 2019 · author #4
- Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics physics.comp-ph · 2019 · author #3
- Efficient multistep methods for tempered fractional calculus: Algorithms and Simulations math.NA · 2018 · author #5
- Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations stat.ML · 2018 · author #3
- Nonlocal flocking dynamics: Learning the fractional order of PDEs from particle simulations math.NA · 2018 · author #3
- Multi-domain Spectral Collocation Method for Variable-Order Nonlinear Fractional Differential Equations math.NA · 2018 · author #3
- Deep Learning of Vortex Induced Vibrations physics.flu-dyn · 2018 · author #4
- A Universal Fractional Model of Wall-Turbulence physics.flu-dyn · 2018 · author #2
- Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data cs.CE · 2018 · author #3
- A fast solver for spectral element approximation applied to fractional differential equations using hierarchical matrix approximation math.NA · 2018 · author #5
- A new class of semi-implicit methods with linear complexity for nonlinear fractional differential equations math.NA · 2018 · author #4
- Nature of Intrinsic Uncertainties in Equilibrium Molecular Dynamics Estimation of Shear Viscosity for Simple and Complex Fluids physics.chem-ph · 2018 · author #5
- A spectral penalty method for two-sided fractional differential equations with general boundary conditions math.NA · 2018 · author #4
- Neural-net-induced Gaussian process regression for function approximation and PDE solution cs.LG · 2018 · author #3
- Fractional Gray-Scott Model: Well-posedness, Discretization, and Simulations math.NA · 2018 · author #4
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems math.DS · 2018 · author #3
- Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations cs.AI · 2017 · author #3
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations cs.AI · 2017 · author #3
- Molecular Hydrodynamics: Vortex Formation and Sound Wave Propagation physics.flu-dyn · 2017 · author #4
- A Riesz basis Galerkin method for the tempered fractional Laplacian math.NA · 2017 · author #3
- An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields cs.CE · 2017 · author #3
- Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations cs.AI · 2017 · author #2
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations stat.ML · 2017 · author #3
- Analytical and Computational Studies of Correlations of Hydrodynamic Fluctuations in Shear Flow physics.flu-dyn · 2017 · author #3
- OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution physics.bio-ph · 2017 · author #7
- Second-order numerical methods for multi-term fractional differential equations: Smooth and non-smooth solutions math.NA · 2017 · author #3
- A Petrov-Galerkin Spectral Element Method for Fractional Elliptic Problems math.NA · 2016 · author #3
- Implicit-Explicit difference schemes for nonlinear fractional differential equations with non-smooth solutions math.NA · 2016 · author #4
- A Tunably-Accurate Laguerre Petrov-Galerkin Spectral Method for Multi-Term Fractional Differential Equations on the Half Line math.NA · 2016 · author #3
- Petrov-Galerkin and Spectral Collocation Methods for distributed Order Differential Equations math.NA · 2016 · author #3
- Adaptive Finite Element Method for fractional differential equations using Hierarchical Matrices math.NA · 2016 · author #4
- Mesoscale modeling of phase transition dynamics of thermoresponsive polymers physics.chem-ph · 2015 · author #4
- Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques cs.CE · 2014 · author #6
- Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition cs.CE · 2014 · author #4
- Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications cs.DC · 2013 · author #2
- Multiscale simulation of blood flow in brain arteries with an aneurysm physics.flu-dyn · 2011 · author #7
Mentions
- 2511.08341 #2 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 2606.05227 #5 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1904.07651 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1812.00676 #5 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1811.02033 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1810.11596 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1809.03945 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1808.02937 #5 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1808.02170 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1807.04684 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1806.07980 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1801.01236 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1711.10566 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1711.10561 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1709.10415 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1701.00996 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1610.08608 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1608.00831 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1607.08579 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1604.08650 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1603.01358 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1407.3023 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1504.07094 #4 · backfill · confidence 0.70 George Em Karniadakis
- 2606.02427 #3 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1409.4822 #6 · backfill · confidence 0.70 George Em Karniadakis
- 1407.3023 #4 · backfill · confidence 0.70 George Em Karniadakis
- 1311.0402 #2 · backfill · confidence 0.70 George Em Karniadakis
- 2605.23712 #2 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 1110.3092 #7 · backfill · confidence 0.70 George Em Karniadakis
- 2510.12999 #5 · arxiv_oai · confidence 0.70 George Em Karniadakis
- 2509.20349 #4 · arxiv_oai · confidence 0.70 George Em Karniadakis
Frequent Coauthors
- Maziar Raissi 7 shared papers
- Zhen Li 6 shared papers
- Fanhai Zeng 5 shared papers
- Paris Perdikaris 4 shared papers
- Yu-Hang Tang 4 shared papers
- Zhiping Mao 4 shared papers
- Elham Kiyani 3 shared papers
- Fangying Song 3 shared papers
- Khemraj Shukla 3 shared papers
- Liu Yang 3 shared papers
- Mohsen Zayernouri 3 shared papers
- Additi Pandey 2 shared papers
- Changho Kim 2 shared papers
- Dongkun Zhang 2 shared papers
- Ehsan Kharazmi 2 shared papers
- Eok Kyun Lee 2 shared papers
- Gang Li 2 shared papers
- He Li 2 shared papers
- Hessam Babaee 2 shared papers
- Hong Wang 2 shared papers