Pathak, Jay

1. Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers
   2022/08/28 by Enrui Zhang, Adar Kahana, Zhang, Enrui +10 · 15 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
2. One-shot learning for solution operators of partial differential equations
   2021/04/06 by Haiyang He, Jiao, Anran, He, Haiyang +6 · 5 citations
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Dam Engineering and Safety #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
3. On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
   2022/10/31 by Kahana, Adar, Zhang, Enrui, Goswami, Somdatta +3 · 4 citations
   #FOS: Mathematics #Numerical Analysis (math.NA)
4. Fast meta-solvers for 3D complex-shape scatterers using neural operators trained on a non-scattering problem
   2024/05/20 by Lee, Youngkyu, Liu, Shanqing, Zongren Zou +11 · 5 citations
   Engineering · Physics and Astronomy · #Microwave Imaging and Scattering Analysis #Electromagnetic Scattering and Analysis #Advanced SAR Imaging Techniques
5. CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design
   2025/07/13 by Prashant Govindarajan, Govindarajan, Prashant, Davide Baldelli +7 · 8 citations
   Computer Science · Engineering · #Additive Manufacturing and 3D Printing Technologies #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Manufacturing Process and Optimization #Model-Driven Software Engineering Techniques
6. DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization
   2020/05/17 by Ranade, Rishikesh, Hill, Chris, Pathak, Jay · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
7. Solving Inverse Problems in Steady-State Navier-Stokes Equations using Deep Neural Networks
   2020/08/30 by Tiffany Fan, Fan, Tiffany, Kailai Xu +5 · 1 citation
   Decision Sciences · Engineering · Physics and Astronomy · #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
8. A composable autoencoder-based iterative algorithm for accelerating numerical simulations
   2021/10/07 by Rishikesh Ranade, Chris Hill, Ranade, Rishikesh +9 · 1 citation
   Physics and Astronomy · Engineering · Mathematics · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Numerical methods for differential equations
9. Accelerating large-scale linear algebra using variational quantum imaginary time evolution
   2025/03/17 by Willie Aboumrad, Daiwei Zhu, Aboumrad, Willie +15 · 2 voices
   Computer Science · Physics and Astronomy · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Quantum Physics (quant-ph) #cs.ET #quant-ph
10. A Thermal Machine Learning Solver For Chip Simulation
    2022/09/10 by Rishikesh Ranade, Ranade, Rishikesh, Haiyang He +9 · 1 citation
    Engineering · Materials Science · #Advancements in Semiconductor Devices and Circuit Design #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Thermal properties of materials
11. A composable machine-learning approach for steady-state simulations on high-resolution grids
    2022/10/11 by Ranade, Rishikesh, Hill, Chris, Ghule, Lalit +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
12. Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method
    2025/04/15 by Tiwari, Apurva, Iaconis, Jason, Jojo, Jezer +4 · 3 citations
    #Computational Physics (physics.comp-ph) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Quantum Physics (quant-ph)