Review of shale gas transport prediction: Basic theory, numerical simulation, application of ai methods, and perspectives

Z Jiang, W Wang, H Zhu, Y Yin, Z Qu - Energy & Fuels, 2023 - ACS Publications
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 …

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 …

Data-driven, multi-moment fluid modeling of Landau damping

W Cheng, H Fu, L Wang, C Dong, Y Jin, M Jiang… - Computer Physics …, 2023 - Elsevier
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 …

EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas

Y Qin, H Fu, F Xu, Y Jin - IEEE Antennas and Wireless …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Dynamics characteristics of soliton structures of the new (3+ 1) dimensional integrable wave equations with stability analysis

J Ahmad, Z Mustafa, M Hameed, S Alkarni, NA Shah - Results in Physics, 2024 - Elsevier
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 …

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 …

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 …