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45 articles for “Materials Data Science”
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Viscoelastic Behavior, Interfacial Mechanics, and Reliability of Polymer Interlayers in Laminated Glass Composites: A Comprehensive Review
Abstract: The laminated glass systems are regarded as hybrid polymer–glass composites where the viscoelastic behavior of polymer interlayers mostly controls mechanical response. These interlayers (polyvinyl butyral (PVB), ionoplast, ethylene-vinyl acetate (EVA), etc.) have time-, temperature- and rate-dependent properties which significantly affect shear transfer, energy dissipation, and fracture resistance. But the baseline polymer-relevant processes at the molecular and interfacial level are to a large extent unknown [1]. This review provides a materials-focused …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 258–268 Read article
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Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Recent Advances in Polymer Analysis and Characterization Techniques for High-Performance Materials
Abstract: Polymers play a vital role in various fields, from biomedical engineering to energy storage. Developing high-performance polymers requires a deep understanding of their structure, properties, and behavior. This review paper delves into recent advancements in polymer analysis and characterization techniques. This paper is a comprehensive bibliometric analysis which investigates the research landscape of geopolymer concrete incorporating construction and demolition waste (CDW) by analyzing 389 publications from the Web of Science …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–93 Read article
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Role of Solid-State Materials in Development of devices for Internet of Medical Things
Abstract: The Internet of Medical Things (IoMT) represents a transformative paradigm in healthcare delivery, integrating connected medical devices, sensors, and wearable technologies to enable real-time patient monitoring and personalized treatment. Solid-state materials form the foundational infrastructure of IoMT systems, encompassing semiconductors, energy storage materials, sensing materials, and flexible electronics. This article explores the critical role of advanced solid-state materials in enabling miniaturization, energy efficiency, biocompatibility, and enhanced sensing capabilities essential for …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Innovative Approaches in Design and Materials for Climate-adaptive Transport Infrastructure
Abstract: This comprehensive research delves into pioneering approaches in design methodologies and the utilization of advanced materials aimed at significantly enhancing the resilience of transportation infrastructure against the multifaceted and escalating impacts of climate change. As critical challenges such as sea-level rise, increased frequency and intensity of extreme weather events, and changing precipitation patterns become more prevalent, there is an urgent need for innovative materials and integrated design strategies that can …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 14–19 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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The Tech That Makes Space Travel Possible: From Earth to Orbit
Abstract: Space flight was once only a dream, but it has now become one of the most important achievements of modern science and engineering. This article looks at the technology that make it possible to travel from Earth to orbit, with a focus on the complex systems that make space missions safe, efficient, and repeatable. It looks at how rocket propulsion has changed throughout time, from classic chemical engines to new …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 26–33 Read article
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A Narrative Review on an Insight of Herbal Origin Drugs and Their Traditional Medicine Formulations for the Treatment of Nephrolithiasis
Abstract: Ethnopharmacological relevance. There is no satisfactory treatment at present to cure or prevent kidney stone recurrences using predictable medicines. There are several marketed formulations in Ayurveda, Unani and Homeopathic Traditional Medicines (TM) have potential lithotriptic effects and clinical applications. In India, prevalence rates of complementary and alternative medicine (CAM) for the treatment of nephrolithiasis are being estimated at 63.9%. Aim of the review This review article intended to scientifically documented …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 1, 2024 · pp. 14–30 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare
Abstract: The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1535–1550 Read article
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Structural Health Monitoring of Polypropylene Fiber- Reinforced Composite Using Accelerometer Sensors
Abstract: This study explores the application of accelerometer sensors for structural health monitoring (SHM) in evaluating the performance of polypropylene fiber-reinforced composites (PFRC). Incorporating polypropylene fibers into concrete enhances its structural integrity and durability. However, accurately assessing PFRC behavior under various conditions is crucial for its practical application in construction. This research employs advanced accelerometer sensor technology for real-time monitoring and assessment of PFRC performance. Experimental investigations captured and analyzed the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 621–634 Read article
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Assessment of the Post-Harvest Chicken Egg Handling Practices in Gamo and Konso Zones of South Ethiopia
Abstract: The study was conducted starting from September to December 2024 in two districts of South Ethiopia with the objective of assessing the prevailing post-harvest chicken egg handling practices, storage materials, duration of storage, and marketing in the rural household. An aggregate of 120 family units were selected randomly from selected peasant area and interviewed by pre-tested questionnaires. The collected data were analyzed by Statistical Package for Social Sciences (SPSS, 2010) …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Bridging Polymer Science and the Circular Economy: Innovative Business Models for Sustainable Plastic Alternatives
Abstract: It involves the application of polymer science, circular economy principles, and sustainable business models to change the industrial environment in an environmentally friendly manner, which the study focuses on. It will also carry out a rigorous investigation into the potential of bio-based, biodegradable, and recyclable materials and how to integrate them into business models that can be sustainable. The theoretical basis of the study includes the theory of the circular …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 202–217 Read article
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Assess the Knowledge Level Regarding Prevention of Cervical Cancer Among Bachelor of Science Students at Selected Nursing College in Bengaluru
Abstract: Background: Cervical cancer is a major global health concern and one of the primary causes of cancer-related fatalities in women, with particularly high incidence rates in India. Early detection and prevention are crucial, but awareness remains insufficient, especially among future healthcare professionals like nursing students. This study evaluates the knowledge of first-year Bachelor of Science (BSc) nursing students regarding cervical cancer prevention. Materials and Methods: A non-experimental, descriptive research design …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 21–25 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article