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Mohammad Amin Nabian
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Journal Articles

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111003.
Paper No: JCISE-23-1369
https://doi.org/10.1115/1.4063986
Published Online: July 22, 2024
View Article titled, Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations
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Topics: Generative adversarial networks, Generators, Hafnium, Physics, Artificial neural networks, Partial differential equations, Errors
Journal Articles

Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis

Mohammad Amin Nabian, Hadi Meidani
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2020, 20(1): 011006.
Paper No: JCISE-19-1072
https://doi.org/10.1115/1.4044507
Published Online: September 10, 2019
View Article titled, Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
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Topics: Artificial neural networks, Physics, Optimization, Engineering design, Design
Proceedings Papers

Stable Moving Particle Semi Implicit Method for Modeling Waves Generated by Submarine Landslides

Mohammad Amin Nabian, Leila Farhadi
Proc. ASME. IMECE2014, Volume 7: Fluids Engineering Systems and Technologies, V007T09A019, November 14–20, 2014
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2014-40419
https://doi.org/10.1115/IMECE2014-40419
View Paper titled, Stable Moving Particle Semi Implicit Method for Modeling Waves Generated by Submarine Landslides
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Topics: Landslides, Modeling, Particulate matter, Underwater vehicles, Waves, Water, Wedges, Approximation, Engineering simulation, Fluids
Proceedings Papers

Numerical Simulation of Solitary Wave Using the Fully Lagrangian Method of Moving Particle Semi Implicit

Mohammad Amin Nabian, Leila Farhadi
Proc. ASME. FEDSM2014, Volume 1D, Symposia: Transport Phenomena in Mixing; Turbulent Flows; Urban Fluid Mechanics; Fluid Dynamic Behavior of Complex Particles; Analysis of Elementary Processes in Dispersed Multiphase Flows; Multiphase Flow With Heat/Mass Transfer in Process Technology; Fluid Mechanics of Aircraft and Rocket Emissions and Their Environmental Impacts; High Performance CFD Computation; Performance of Multiphase Flow Systems; Wind Energy; Uncertainty Quantification in Flow Measurements and Simulations, V01DT30A006, August 3–7, 2014
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2014-22237
https://doi.org/10.1115/FEDSM2014-22237
View Paper titled, Numerical Simulation of Solitary Wave Using the Fully Lagrangian Method of Moving Particle Semi Implicit
Open the PDF for Numerical Simulation of Solitary Wave Using the Fully Lagrangian Method of Moving Particle Semi Implicit in another window
Topics: Computer simulation, Particulate matter, Waves, Water, Vortices, Dynamic systems, Fluids, Generators, Navier-Stokes equations, Reservoirs