Review of shale gas transport prediction: Basic theory, numerical simulation, application of ai methods, and perspectives
The gas transport mechanism in shale reservoirs is extremely complex and is a typical
multiscale and multiphysics coupled transport process, considering the complex shale rock …
multiscale and multiphysics coupled transport process, considering the complex shale rock …
Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage
HM Hoang, M Akerma, N Mellouli… - International Journal of …, 2021 - Elsevier
Food warehouses and cold rooms have a significant potential for Demand Response (DR)
application (stopping or reducing the power of fans and compressors of the refrigeration …
application (stopping or reducing the power of fans and compressors of the refrigeration …
Data-driven, multi-moment fluid modeling of Landau damping
Deriving governing equations of complex physical systems based on first principles can be
quite challenging when there are certain unknown terms and hidden physical mechanisms …
quite challenging when there are certain unknown terms and hidden physical mechanisms …
EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas
Electromagnetic (EM) wave propagation and inversion in complex time-varying medium is a
challenging problem, particularly for plasma applications. We extend the EM wave–plasma …
challenging problem, particularly for plasma applications. We extend the EM wave–plasma …
[HTML][HTML] Dynamics characteristics of soliton structures of the new (3+ 1) dimensional integrable wave equations with stability analysis
This study investigates optical solitons solutions within the framework of the two new (3+ 1)-
dimensional integrable wave equations by employing the modified Sardar sub-equation …
dimensional integrable wave equations by employing the modified Sardar sub-equation …
Machine Learning Application for Modeling and Design Optimization of High Frequency Structures
MH Bakr, S Ali, AZ Elsherbeni - Advances in Time‐Domain …, 2022 - Wiley Online Library
A brief review of the applications of machine learning to the electromagnetic modeling and
design optimization of high‐frequency structures is presented. The structure of artificial …
design optimization of high‐frequency structures is presented. The structure of artificial …
Electromagnetic Scattering of Infinitely Long Cylinder of Arbitrary Cross-section Based on PINNs
W Li, H Tang, R Li, M Zhang, Q Deng… - 2024 Photonics & …, 2024 - ieeexplore.ieee.org
In this study, we will utilize the PINNs method to explore and analyze the electromagnetic
scattering properties of cylinders with complex geometries. PINN is a physically constrained …
scattering properties of cylinders with complex geometries. PINN is a physically constrained …