Omer San

1. Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
   2020/01/01 by Adil Rasheed, Omer San, Trond Kvamsdal · 15 citations
   Decision Sciences · Engineering · #Digital Transformation in Industry #Simulation Techniques and Applications
2. Digital Twin: Values, Challenges and Enablers
   2019/10/03 by Adil Rasheed, Omer San, Rasheed, Adil +3 · 11 citations
   Computer Science · Engineering · #Digital Transformation in Industry #Engineering Education and Technology #FOS: Electrical engineering #Signal Processing (eess.SP) #Technology Assessment and Management #electronic engineering #information engineering
3. Physics guided neural networks for modelling of non-linear dynamics
   2022/05/13 by Haakon Robinson, Suraj Pawar, Robinson, Haakon +5 · 6 citations
   Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
4. SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
   2023/06/24 by Pu Ren, N. Benjamin Erichson, Ren, Pu +10 · 5 citations
   Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image and Signal Denoising Methods
5. Bridging Large Eddy Simulation and Reduced Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives
   2024/06/28 by Annalisa Quaini, Omer San, Quaini, Annalisa +5 · 4 citations
   Engineering · #Aerodynamics and Acoustics in Jet Flows #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Numerical Analysis (math.NA) #Turbomachinery Performance and Optimization
6. An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows
   2022/11/08 by Changhong Mou, Elia Merzari, Mou, Changhong +5 · 3 citations
   Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Vibration Analysis #Fractional Differential Equations Solutions #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
7. COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
   2020/06/16 by Eivind Meyer, Amalie Heiberg, Meyer, Eivind +5 · 2 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Maritime Navigation and Safety #Robotic Path Planning Algorithms #Robotics (cs.RO) #Underwater Vehicles and Communication Systems
8. An artificial neural network framework for reduced order modeling of transient flows
   2019/10/01 by Omer San, Romit Maulik, Mansoor Ahmed · 1 citation
9. Forward sensitivity analysis of the FitzHugh-Nagumo system: Parameter estimation
   2021/02/05 by Shady E. Ahmed, Ahmed, Shady E., Omer San +3 · 1 citation
   Neuroscience · Physics and Astronomy · Computer Science · #Neural dynamics and brain function #stochastic dynamics and bifurcation #Nonlinear Dynamics and Pattern Formation
10. Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
    2022/05/25 by Shady E. Ahmed, Omer San, Ahmed, Shady E. +7 · 1 citation
    Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Pattern Formation and Solitons (nlin.PS)
11. Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
    2022/06/07 by Sindre Stenen Blakseth, Adil Rasheed, Blakseth, Sindre Stenen +5 · 2 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Nuclear reactor physics and engineering
12. Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
    2021/03/26 by Omer San, Adil Rasheed, San, Omer +3 · 1 citation
    Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering