https://journals.airsd.org/index.php/jces/issue/feedJournal of Computational and Experimental Science2026-06-04T08:43:55+00:00Journal of Computational and Experimental Sciencejemba@journals.airsd.orgOpen Journal Systems<p>The <em>Journal of Computational and Experimental Science</em> (JCES) publishes high-quality, peer-reviewed research across physics, chemistry, biology, mathematics, engineering, and related scientific disciplines. The journal emphasizes the integration of computational modeling, theoretical analysis, and experimental validation to advance both fundamental understanding and practical applications.</p> <p>The journal particularly welcomes contributions in emerging and high-impact areas, including drug discovery and design, materials science, nanotechnology, energy systems and photovoltaic technologies, as well as artificial intelligence and data-driven science.</p> <p>The journal accepts original research articles, review articles, and short communications.</p> <p>The journal covers a broad spectrum of scientific disciplines, including but not limited to:</p> <ul> <li>Physics and applied physics</li> <li>Chemistry and chemical sciences</li> <li>Biology, biotechnology, and life sciences</li> <li>Mathematics and computational mathematics</li> <li>Engineering and applied engineering sciences</li> <li>Materials science and nanotechnology</li> <li>Drug discovery and design</li> <li>Photovoltaics and renewable energy technologies</li> <li>Environmental and energy sciences</li> <li>Artificial intelligence and data-driven science</li> <li>Pharmaceutical and biomedical sciences</li> <li>Interdisciplinary and emerging research areas</li> </ul>https://journals.airsd.org/index.php/jces/article/view/604Hydro-Mechanical Behavior of Anisotropic Slate and Its Implications for Sustainable Slope Stability and Environmental Geo-Hazard Mitigation2026-04-08T12:48:12+00:00Ghulam Rubabghulamrubabsoomro@gmail.comShaista Jalbanijalbanishaista@gmail.comAbdul Razzaque Soomrosoomroabdulrazaque2@gmail.comEmmy MaherEmmy.mahar@gmail.comFatima Gulluniversityofkarachigull@gmail.com<p><em>Hydro-mechanical behavior of anisotropic slate is quite significant in regulating the stability of slopes and geo-engineering structures in water sensitive environments. The paper looks at the interaction between structural anisotropy and hydrological environment on strength, deformation and failure of slate. The suggested method to fill the gaps in the existing research involves a multi-scale methodology that will incorporate laboratory testing with the numerical model and slope-scale analysis. The standardization of uniaxial and triaxial compression tests was done using slate samples at various bedding angles, under both dry and wet conditions. The experimental results indicate that compressive strength is highly directional because it is an ordinary U-shaped curve with bedding inclination. The hydro-mechanical coupling imposes large strength and stiffness losses because of the impact of pore pressure, interlayer debilitation and along discontinuity lubrication. It was found that the saturated conditions promoted more complicated crack propagation and premature failure as compared to dry conditions. It was established that there were clear changes in failure modes, tensile-slipping, shear-slipping, and composite failure, among different bedding orientations. To study micro-mechanical behavior further, a Discrete Element Method (DEM) model based on Particle Flow Code (PFC) was built and calibrated. Patterns of initiation, propagation and coalescence of cracks observed in laboratory experiments could be replicated in the numerical models. Experimental and numerical results were synthesized to give us the most important thresholds that run the mechanisms of failures in the coupled conditions. The insights were extrapolated in hydro-mechanically coupled stability modeling to the slope scale. The results prove that the dominant factors that define slope instability are the pore water pressure and structural anisotropy. The proposed framework enhances the predictive capability in the geo-hazard assessment of reservoir banks and slopes which get rainfalls. This study will aid in bridging this gap between the laboratory level observations and field-level engineering. It gives an in-depth insight into how anisotropic rocks behave in real environmental conditions. The results present feasible suggestions on safer and more sustainable infrastructure design. Besides, the study advocates the formulation of better risk mitigation measures in geologically complicated areas. On balance, the given work contributes to the further development of combining hydro-mechanical effects in rock mechanics and the study of geo-hazards of the environment.</em></p>2026-04-08T00:00:00+00:00Copyright (c) 2026 Journal of Computational and Experimental Sciencehttps://journals.airsd.org/index.php/jces/article/view/612AI-Driven Eco-Engineering Framework for Climate-Resilient Urban Systems Using Real-Time Social and Environmental Data2026-04-30T11:40:56+00:00Ghulam Rubabghulamrubabsoomro@gmail.comAzhar Aliazharrose018@gmail.comMuhammad Umar Memonmuhammadumarmemon011@gmail.comMuhammad Yaqoobengryaqoob40@gmail.comBaqir Banglanibaqir.techworld007@gmail.comShaista Jalbanijalbanishaista@gmail.comEmmy Maharemmy.mahar@gmail.comFatima Gulluniversityofkarachigull@gmail.com<p><em>Compound climate risks, including flooding, heatwaves, and environmental degradation, are more likely to affect urban areas, and available resilience strategies are still disconnected, with an ecological, technological, and social focus. This paper presents a proposal of an AI-driven eco-engineering control that combines real-time environmental sensing (remote sensing, meteorological, hydrological, and IoT data) with social sensing (geotagged social media data) to aid in adaptive and data-driven urban climate decision-making. This framework is based on the multi-layered architecture comprising of data acquisition, preprocessing, integration of multi-modal features, AI-based prediction (LSTM and SVM), spatial risk mapping, and optimization of nature-based solutions on eco-engineering basis.</em></p> <p><em>It is theoretical and methodological in character and offers a comprehensive framework but not an entire and implemented case study empirically. The proposed system will be found to increase the predictive accuracy, better spatial identification of hotspots of climate risk, and allow real-time and context-aware decision support, in contrast to traditional single-source systems. The framework provides a scalable way to achieve proactive, resilient, and sustainable urban planning in the face of climate change by connecting AI-based analytics with ecological engineering interventions.</em></p>2026-04-30T00:00:00+00:00Copyright (c) 2026 https://journals.airsd.org/index.php/jces/article/view/630Metal-Organic Frameworks: Synthesis, Adsorption, and Catalytic Applications2026-06-04T08:43:55+00:00Asif Manzoorasifmanzoor@journals.airsd.orgKashif Alikashifali@journals.airsd.orgUmar Sohail ShoukatUmarSohailShoukat@journals.airsd.orgMudassar MaqsoodMudassarMaqsood@journals.airsd.orgIqra NaheedIqraNaheed@journals.airsd.orgMuhammad Adnan Iqbaladnan.iqbal@uaf.edu.pk<p>Metal-organic frameworks (MOFs) are a class of crystals materials with pores that self-organize into a spatially organized network structure. They are made up of metal-containing nodes joined by an organic ligand network. MOFs offer three primary benefits The framework's adsorption areas and metal ion transportation are made better by their very porous framework and very high specific surface area. (2) The functional characteristics of the sites of adsorption can be changed by regulating the interaction between them and the metal ions. (3) MOFs may be generated on a wide scale because to their comparatively straightforward preparation method, and they maintain their stability under challenging circumstances. The current structural forms of MOFs (powder and membrane-like structures) and their production techniques, including mechanochemical, primary, and secondary growth processes, are initially outlined in this review article. Recent advancements in the enrichment of different metal ions, adsorption, analytical identification, and other catalytic uses of MOFs are then highlighted. A comprehensive description of the polymerization by radicals of methyl methacrylate (MMA) using microwave assisting agents and MOFs as catalysts is also given. The catalyst conditions, such as the number of MOFs-907, co-initiators and organic solvents, and polymerization time, should be carefully considered in this process. Future research directions and technological issues pertaining to MOFs materials that need to be resolved are also covered. A thorough grasp of metal-organic frameworks is the goal of this review. Because of its large porosity and active metal sites, MOFs are excellent for sophisticated adsorption and catalytic processes.</p>2026-06-04T00:00:00+00:00Copyright (c) 2026 Journal of Computational and Experimental Science