
Over the past decade, semiconductor materials subjected to photothermal, optoelectronic, and magnetoacoustic excitations have become increasingly important due to their critical role in modern electronic, photonic, and emerging quantum devices. The interaction between thermal, elastic, electrical, and acoustic fields strongly affects wave propagation, stability, and energy transport in these materials. Recent advances in computational modeling, numerical simulation, and experimental measurement techniques have provided powerful tools for understanding and controlling these coupled multiphysical phenomena.
There is significant progress in developing analytical, numerical, and stochastic approaches for modeling semiconductor behavior under complex excitations. Techniques such as stability and eigenvalue analysis, perturbation methods, Monte Carlo simulations, and multiphysics numerical schemes have shown strong potential in predicting material response and uncertainty behavior. At the same time, improved experimental protocols and signal-processing methods have enhanced the validation and reliability of theoretical models.
Given these advances, the current moment is ideal for a focused experimental and computational collection of research. This collection welcomes submissions in the following categories: original research articles, methodology articles, and review articles that emphasize reproducible methods and validated modeling frameworks.
Topics of interest include, but are not limited to:
This collection aims to standardize and enhance the reproducibility and reliability of experimental and computational workflows in semiconductor and quantum-related material research. It seeks to bridge applied mathematics, computational physics, and experimental methodologies, supporting the development of accurate, efficient, and physically consistent methods for studying complex coupled-field phenomena in advanced semiconductor systems.
Photo-Thermoelastic Analysis of a Nonlocal Anisotropic Fiber-Reinforced Semiconductor Using Hyperbolic Two-Temperature Theory: Silicon vs. Germanium.
A El-Dali *1
1Faculty of Science, Department of Mathematics, Capital University (formerly Helwan University), P.O. 11795, Cairo, Egypt
Beyond Accuracy: A Cost-Sensitive Clinical Framework for Minimizing Missed Diabetes Diagnoses with Multi-Dataset Validation
Ahmed Madbouly*1,
Ramdan Babers2
1mathematics departement , capital (helwan) university,
2Assistant Professor of Artificial Intelligence Faculty of computer studies, Arab Open University, Egypt-Branch
Bayesian Estimation and Predictive Analysis of Future Order Statistics for the Lomax Distribution via MCMC Techniques
A El-Dali *1
1Faculty of Science, Department of Mathematics, Capital University (formerly Helwan University), P.O. 11795, Cairo, Egypt