Ali Kashefi Ph.D., Stanford University U.S. permanent resident kashefi@stanford.edu Google Scholar ORCiD Github |
[17] A. Kashefi, "Kolmogorov-Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries", arXiv, (2024) doi
[16] A. Kashefi, "A misleading gallery of fluid motion by generative artificial intelligence", Journal of Machine Learning for Modeling and Computing, Begell House, 5 (2024) doi
[15] Featured A. Kashefi & T. Mukerji, "A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media", Physics of Fluids, AIP, 36 (2024) doi
[14] A. Kashefi & T. Mukerji, "ChatGPT for programming numerical methods", Journal of Machine Learning for Modeling and Computing, Begell House, 4 (2023) doi
[13] A. Kashefi, L. Guibas & T. Mukerji, "Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity", Journal of Machine Learning for Modeling and Computing, Begell House, 4 (2023) doi
[12] A. Kashefi, "Deep learning algorithms for computational mechanics on irregular geometries", Ph.D. Dissertation, Stanford University, (2023)
[11] A. Kashefi & T. Mukerji, "Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet", Neural Networks, 167 (2023) doi
[10] A. Kashefi & T. Mukerji, "Physics-informed PointNet: A deep learning solver for incompressible flows and thermal fields on multiple sets of irregular geometries", Journal of Computational Physics, Elsevier, 468 (2022) doi
[9] Featured A. Kashefi & T. Mukerji, "Point-cloud deep learning of porous media for permeability prediction", Physics of Fluids, AIP, 33 (2021) doi
[8] Editor’s Pick A. Kashefi, D. Rempe & L. Guibas "A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries", Physics of Fluids, AIP, 33 (2021) doi
[7] A. Kashefi, "A coarse-grid projection method for accelerating incompressible MHD flow simulations", Engineering with Computers, Springer, 38 (2022) doi
[6] A. Kashefi, "A coarse grid projection method for accelerating free and forced convection heat transfer computations", Results in Mathematics, Springer, 75 (2020) doi
[5] A. Kashefi, "Coarse grid projection methodology: A partial mesh refinement tool for incompressible flow simulations", Bulletin of the Iranian Mathematical Society, Springer, 46 (2020) doi
[4] A. Kashefi, "A coarse-grid incremental pressure projection method for accelerating low Reynolds number incompressible flow simulations", Journal of Computer Science, Springer, 3 (2020) doi
[3] A. Kashefi & A. Staples, "A finite-element coarse-grid projection method for incompressible flow simulations", Advances in Computational Mathematics, Springer, 44 (2018) doi
[2] A. Kashefi, "Spring-slider and finite element modeling of microseismic events and fault slip during hydraulic fracturing", (2020) doi
[1] A. Kashefi, M. Mahdinia, B. Firoozabadi, M. Amirkhosravi, G. Ahmadi & M.S. Saidi, "Multidimensional modeling of the stenosed carotid artery: A novel CAD approach accompanied by an extensive lumped model", Acta Mechanica Sincia, Springer, 30 (2014) doi