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Omer San

Showing results (1-10 of 16) with videos related to

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Nature Computational Science|January 13, 2024
The digital twin revolutionOmer San
Physical Review. E|May 16, 2018
Extreme learning machine for reduced order modeling of turbulent geophysical flowsOmer San, Romit Maulik
Scientific Reports|November 17, 2023
Decentralized digital twins of complex dynamical systemsOmer San, Suraj Pawar, Adil Rasheed
Scientific Reports|May 12, 2023
An efficient quantum partial differential equation solver with chebyshev pointsFurkan Oz, Omer San, Kursat Kara
Scientific Reports|October 26, 2022
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systemsOmer San, Suraj Pawar, Adil Rasheed
Frontiers in Robotics and AI|February 15, 2021
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater VehiclesSimen Theie Havenstrøm, Adil Rasheed, Omer San
Neural Networks : the Official Journal of the International Neural Network Society|August 6, 2022
Physics guided neural networks for modelling of non-linear dynamicsHaakon Robinson, Suraj Pawar, Adil Rasheed, et al.
Nature Computational Science|January 29, 2026
The evolution of digital twins from reactive to agentic systemsOmer San, Adil Rasheed, Eda Bozdemir, et al.
Physical Review. E|November 20, 2020
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reductionShady E Ahmed, Kinjal Bhar, Omer San, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 11, 2021
Deep neural network enabled corrective source term approach to hybrid analysis and modelingSindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Nature Computational Science|January 13, 2024
The digital twin revolutionOmer San
Physical Review. E|May 16, 2018
Extreme learning machine for reduced order modeling of turbulent geophysical flowsOmer San, Romit Maulik
Scientific Reports|November 17, 2023
Decentralized digital twins of complex dynamical systemsOmer San, Suraj Pawar, Adil Rasheed
Scientific Reports|May 12, 2023
An efficient quantum partial differential equation solver with chebyshev pointsFurkan Oz, Omer San, Kursat Kara
Scientific Reports|October 26, 2022
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systemsOmer San, Suraj Pawar, Adil Rasheed
Frontiers in Robotics and AI|February 15, 2021
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater VehiclesSimen Theie Havenstrøm, Adil Rasheed, Omer San
Neural Networks : the Official Journal of the International Neural Network Society|August 6, 2022
Physics guided neural networks for modelling of non-linear dynamicsHaakon Robinson, Suraj Pawar, Adil Rasheed, et al.
Nature Computational Science|January 29, 2026
The evolution of digital twins from reactive to agentic systemsOmer San, Adil Rasheed, Eda Bozdemir, et al.
Physical Review. E|November 20, 2020
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reductionShady E Ahmed, Kinjal Bhar, Omer San, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 11, 2021
Deep neural network enabled corrective source term approach to hybrid analysis and modelingSindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, et al.
Pageof 2