Summary of 2025

The low concentration and poor reservoir properties of natural hydrogen suggest that reservoir stimulation measures such as fracturing are required for its efficient development. Nevertheless, the presence of reservoir imperfections, including hard and soft cores, can significantly affect fracture b...

In order to improve heat transfer efficiency, it is essential to examine that MHD hybrid nanofluid flows behave under convective and slip boundary conditions. Researchers have looked at a variety of factors when adding hybrid nanofluids to these flows, including Forchheimer number, radiation, magnet...

A nonlinear compartmental model is developed to analyze crime dynamics in a structured society. The population is stratified into eight compartments: \(S(t)\) (susceptible), \(E(t)\) (exposed), \(C(t)\) (active criminals), \(C_v(t)\) (convicted criminals), \(P_h(t)\) (passive-honest), \(P_c(t)\) (co...

Amid global warming, energy shortages, and the increasing frequency of extreme climate events, the development of sustainable and intelligent underground infrastructure has become a critical strategy for addressing major societal challenges. Unlike surface structures, underground infrastructures are...

The present study introduces a small and efficient antenna designed specifically for medical implants. With the increasing demand for wireless and minimally invasive medical devices, there is a need for antennas that can reliably transmit and receive data within the human body. The antenna presented...

The flow resistance of displacement fluids within reservoir fractures directly influences oil recovery efficiency and sweep efficiency, thereby exerting a substantial impact on reservoir recovery and overall oilfield production. To address the significant flow resistance of contemporary displacement...

Presents the introductory editorial for the inaugural issue of this title.

As a classical convex optimization problem in geometry, computing the maximum inscribed ball (MaxIB) in ultra-high-dimensional polytopes is critical for enabling real-time IoT applications, such as optimal deployment of sensor networks, where polytopes model physical constraints arising from obstacl...

Simulation-driven optimization of complex engineering systems increasingly demands intelligent frameworks capable of replacing exhaustive parameter sweeps with rapid, learned predictions. This paper presents a general surrogate optimization framework that couples high-fidelity simulation with a mach...