jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Fajar Pitarsi Dharma | Moses Laksono Singgih | Dedy Dwi Prastyo
Source: Proceedings of The International Conference on Data Science and Official Statistics (article, 2025-12-22)
Field: Materials Science — Polymers and Plastics

AI-Driven Transformation in the Textile Industry: A Bibliometric Analysis and Scoping Review Artificial Intelligence (AI) is rapidly reshaping the global textile industry, driving efficiency, precision, and sustainability across its value chain. Yet despite growing enthusiasm, the integration of AI remains fragmented, with limited statistical understanding of where, how, and why these technologies take root. This study addresses that gap by combining bibliometric network analysis and systematic scoping review to map and statistically interpret two decades (2003–2023) of research on AI applications in textiles. Using association strength normalization, VOS modularity clustering, and thematic centrality density mapping, we identified eight manufacturing clusters ranging from fabric defect detection and supply chain optimization to textile waste management and sustainability that structure the field. The novelty of this work lies in repositioning bibliometric analysis as a statistical instrument, not merely a descriptive tool. Keyword co-occurrence networks and citation trajectories are translated into evidence-based research agendas, connecting cluster signals to methodological pathways such as regression modeling, support vector machines, neural networks, and hybrid ML-statistical frameworks. This statistical logic is used to surface gaps. Particularly in empirical validation, predictive modeling, and cross-cluster integration and to chart future directions for data-driven textile innovation. By grounding future agendas in measurable statistical patterns rather than narrative interpretation alone, this study offers a rigorous analytical framework that links research structure to methodological opportunity. The resulting roadmap invites scholars and practitioners to bridge AI, textile engineering, and applied statistics, shifting the field from fragmented experimentation toward coherent, evidence-based innovation. Field (mathematics) ; Sustainability ; Centrality ; Supply chain ; Textile ; Big data ; Interoperability ; Thematic map ; Modularity (biology) Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Industrial Vision Systems and Defect Detection
Authors: Shravani S. Jakkanawar | Tejasvinee S. Bhat | Satyajeet S. Patil | Sunil S. Nirmale | Sivalingam Ramesh | Mrunali Kamble | Kiran Kumar K. Sharma | Jayavant L. Gunjakar | Hemraj M. Yadav
Source: Discover Electrochemistry. (article, 2025-12-06)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Chemically synthesized cobalt oxide/bismuth vanadate nanocomposite electrode for asymmetric supercapacitor application Cobalt oxides (Co3O4) decorated on bismuth vanadate (BiVO4) via the co-precipitation method exhibit significant potential for supercapacitor applications. This synthesis enables controlled nucleation and uniform growth of Co3O4–BiVO4 nanostructures, enhancing the morphology of electrode and electrochemical performance. We characterized the structural and morphological properties of the nanocomposite and evaluated its electrochemical performance in 1 M KOH aqueous solution. The Co3O4–BiVO4 nanocomposite demonstrated a specific capacitance of 726 F g⁻1 at a current density of 1 A g⁻1. Furthermore, an asymmetric solid-state device integrating the nanocomposite with activated carbon (AC) retained 86% of its initial capacitance over 2500 charge–discharge cycles at a current density of 2 A g⁻1, demonstrating excellent stability. Overall, our findings suggest that the Co3O4–BiVO4 nanocomposite holds promise as an electrode material for supercapacitor applications, offering high specific capacitance, longevity, and noteworthy energy and power density. These results also highlight the potential scalability of this facile synthesis approach for practical supercapacitor devices. Supercapacitor ; Nanocomposite ; Capacitance ; Electrode ; Electrochemistry ; Cobalt ; Bismuth vanadate ; Vanadate Supercapacitor Materials and Fabrication ; Advancements in Battery Materials ; Electrocatalysts for Energy Conversion
Authors: Shumao Zeng | Diannan Lu | Rui Yang
Source: Journal of Vinyl and Additive Technology (article, 2025-06-05)
Field: Materials Science — Polymers and Plastics

Unraveling the Mechanisms of Polyethylene Thermal Oxidation Influenced by <scp>TiO<sub>2</sub></scp> and <scp>ZnO</scp>: A Combined Experimental and Computational Study ABSTRACT Incorporating fillers into polyethylene (PE) has emerged as a crucial strategy for modulating its thermo‐oxidative aging. However, the mechanistic differences among various fillers remain insufficiently understood at the atomic level. To address this issue, this study combines ab initio molecular dynamics (AIMD), first‐principles calculations, and thermo‐oxidative experiments to investigate the effects of two commonly used fillers, TiO 2 and ZnO, on the thermo‐oxidative aging of PE. The results reveal that both fillers promote the dissociation of C–H bonds of PE. TiO 2 enhances the formation of alkyl radicals, driving the generation of hydroxyl and carbonyl groups on the polymer chains. In contrast, ZnO, with its inherently less stable surface structure, exhibits a stronger effect on C–H bond dissociation, leading to significant crosslinking reactions in PE and the development of vinyl groups. These groups are less reactive toward oxygen (O 2 ), hindering the formation of hydroxyl and carbonyl groups by reducing the density of reaction sites between O 2 and carbon chains. Understanding the intricacies and mechanisms of these processes not only deepens our knowledge of the fundamental aspects of PE's thermo‐oxidative aging but also provides a basis for designing fillers to effectively regulate its aging behavior. Chemistry ; Materials science ; Chemical engineering ; Engineering Polymer Nanocomposites and Properties ; Polymer Science and PVC ; Polymer crystallization and properties
Authors: M. Sekar | Vinodhkumar Balakrishna | Vivek Rajavelu | Mohanram Parthiban
Source: Periodica Polytechnica Chemical Engineering (article, 2025-06-25)
Field: Materials Science — Ceramics and Composites

Investigation of the Thermal Stability of High Energy Ball Milled SiC Nanoparticles Using Thermogravimetric and Differential Thermal Analysis In this paper, an attempt has been made to analyze the thermal stability of silicon carbide (SiC) particles using thermogravimetric and differential thermal analysis (TGA/DTA). The SiC particles were made by using a high-energy ball milling (HEBM) process to break down micro-sized particles into nano-sized ones. The HEBM was conducted over 60 h, with samples collected at intervals of 15, 30, 45, and 60 h. The samples were further characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) to examine changes in crystallinity and particle morphology. XRD analysis revealed shifts in peak positions, indicating structural changes induced by the milling process. SEM and TEM analyses showed a more homogeneous structure in the milled samples. TGA/DTA analysis demonstrated that nanosized SiC particles exhibited reduced thermal stability. Milling for a longer time caused mass loss to increase, ranging from 2% to 4.24%, at temperatures from 30 °C to 1000 °C and a heating rate of 20 °C/min in a nitrogen atmosphere. These findings show that nanosized SiC particles could be useful in high-temperature situations, especially in fields that need materials that are very stable at high temperatures. Thermogravimetric analysis ; Thermal stability ; Materials science ; Ball mill ; Nanoparticle ; Thermal ; Differential thermal analysis ; Differential (mechanical device) ; Chemical engineering ; Composite material ; Thermodynamics ; Nanotechnology ; Physics ; Diffraction ; Engineering Advanced ceramic materials synthesis ; Thermal properties of materials ; Thermal and Kinetic Analysis
Authors: Rahul Mitra | Lukas Fuchs | Orkun Furat | Yannik Sinnwell | Sergiy Antonyuk | Volker Schmidt | Urs A. Peuker
Source: Processes (article, 2025-05-23)
Field: Materials Science — Polymers and Plastics

The Impact of the Feed Rate and the Binder Concentration on the Morphology of Spray-Dried Alumina–Polymer Nanocomposites Spray-drying is a flexible method for creating fine porous composites with controlled size and morphology. This study investigates how the morphology and porosity of the spray-dried powder of nano-alumina and polyvinylpyrrolidone (PVP-30) granules are affected by both the feed rate and the binder concentration. Droplet size and velocity distributions, measured with a HiWatch system, showed that higher feed rates produce larger droplets with faster velocities, therefore affecting the final morphology of the dried product. The morphology of the dried granules was analyzed using inline SOPAT imaging. While mercury intrusion porosimetry quantified the nano-pore volume and nano-pore size of the granules, offline scanning electron microscopy (SEM) was also used to characterize the morphology of the dried product. The findings show that, while raising the binder concentration produces a more compact morphology with a lower nano-pore volume, higher feed rates produce larger granules with a larger nano-pore volume. This study offers fundamental insights that can support the future development of control strategies for optimizing the production of spray-dried porous alumina–polymer nanocomposites by means of knowledge about the relationship between these process parameters and product qualities. Morphology (biology) ; Materials science ; Nanocomposite ; Polymer ; Spray drying ; Composite material ; Chemical engineering Polymer Nanocomposites and Properties ; Material Properties and Applications ; Tribology and Wear Analysis
Authors: Yu Zhang | Yadong Tang | Chujun Yang | Zheng Liu | Zhenhua Jiang | Yunhe Zhang
Source: IET Nanodielectrics (article, 2025-01-01)
Field: Materials Science — Polymers and Plastics

Dipolar Polyimides With a Clever Balance in Dielectric Performance by Introducing a Twisted Fluorene Structure for the Development of Electronic Applications ABSTRACT Polyimides with combined high thermal resistance and excellent electrical properties are specifically desired for various electrical and power electronic systems. However, traditional polyimide lacks functional groups with huge dipole moments and hence suffer from intrinsic inferior permittivity. Dipolar polymers, as potential high permittivity materials, have received considerable attention. Here, rigid and twisted fluorene groups are introduced into the polyimide backbone, containing urea groups in the side chain. The twisted fluorene structure provides free volume for dipole rotation, which can effectively improve the dipole mobility and avoid the problem of elevated dielectric loss caused by the dipole‐flip lag, whereas the urea groups with high dipole moments contribute to the elevation of the permittivity. Ultimately, a clever balance between high permittivity and low dielectric loss is realised through the molecular structure design; BP‐BU 0.7 exhibits a high permittivity of 6.37 and a low dielectric loss of 0.0083 at room temperature and 1 kHz. Simultaneously, taking advantage of this characteristic, BP‐BU 0.7 is used as the gate dielectric for the organic thin‐film transistor (OTFT), and the device exhibits outstanding field‐effect properties with low threshold voltage (−0.96 V) and high carrier mobility (4.09 cm 2 V −1 s −1 ) under low voltage (−5 V) operation. This polyimide material is considered as a potential dipole glass polymer dielectric for electronic applications. Fluorene ; Dielectric ; Dipole ; Materials science ; Balance (ability) ; Nanotechnology ; Engineering physics ; Optoelectronics ; Composite material ; Chemistry ; Physics ; Polymer ; Psychology ; Organic chemistry Synthesis and properties of polymers ; Dielectric materials and actuators ; Silicone and Siloxane Chemistry
Authors: Michael Klimkait | Nele Berg | Ruth M. Gschwind | Kirsten Zeitler
Source: ChemRxiv (preprint, 2025-07-02)
Field: Chemistry — Organic Chemistry

PCET beyond Simple pKa-Related Base Effects: Unlocking Inaccessible Substrates for Direct Intermolecular Photocatalytic Ring-Opening Remote Alkylative C-C Functionalization of Cycloalkanols Oxidative multisite proton-coupled electron transfer (MS-PCET) reactions, particularly those occurring under metal-free pho¬to¬catalytic conditions using visible light, have emerged as a promising tool for the activation of strong O-H bonds in (cyclo)alkanols. However, these methods generally require the use of e-rich arene-containing derivatives (para-methoxyphenyl (PMP), etc.) – a factor that greatly restricts their broader applicability. Herein, we report the successful implementation of targeted modulation of the base partner in photocatalytic cascade reactions of cyclic alcohols, unlocking previously inaccessible, non-activated substrates. This approach successfully circumvents the prevalent limitations of ring-opening transformations of cycloalkanols by deliberately promoting base-alcohol interactions. As a result, we here demonstrate a general, operationally simple and widely applicable protocol for the redox-neutral transformations of cycloalkanols into terminally C(sp3)-C(sp3)-coupled, functionalized open-chain products. NMR-based mechanistic studies, comprising in-depth H-bond analysis and DOSY experiments, have elucidated the crucial role of the (pyridine) base in this multisite PCET, which surpasses typical pKa-related and/or steric effects. Ultimately, our gained insights into the key importance of additional weak interactions in promoting a pivotal productive alcohol-base pre-organization were directly put into practice to successfully pioneer remote alkylative Giese-type C-C-bond formations of previously challenging alkyl-substituted cycloalkanols. Surface modification ; Intermolecular force ; Photocatalysis ; Ring (chemistry) ; Chemistry ; Simple (philosophy) ; Combinatorial chemistry ; Nanotechnology ; Photochemistry ; Materials science ; Organic chemistry ; Molecule ; Catalysis ; Physical chemistry Catalytic C–H Functionalization Methods ; Radical Photochemical Reactions ; Chemical Synthesis and Reactions
Authors: Yikun Cai | Yuan Gao | Yan Zhuang | Shuai Wu | Fangyu Chen | Yiming Jin | Pengrui Zhu | Li Q | Yan Su
Source: Materials (review, 2025-09-25)
Field: Materials Science — Surfaces, Coatings and Films

Advances in Measurement and Simulation Methods of Thin Liquid Film Corrosion Thin liquid film corrosion is a critical failure mechanism for the atmospheric environment and industrial infrastructure. This review systematically examines relevant methods and recent advances in characterizing and simulating this phenomenon. Various measurement methods for liquid film thickness, composition, and conductivity are investigated, with particular focus on the advantages of non-contact optical technology and X-ray fluorescence (XRF) in in situ monitoring and analysis. For corrosion simulation, the finite element method (FEM), cellular automaton (CA), and molecular dynamics (MD) are widely used. Their combination has synergistic potential in revealing essential corrosion mechanisms and establishing prediction models across scales. Corrosion ; Thin film ; Finite element method ; Conductivity ; Cellular automaton ; Immersion (mathematics) ; Focus (optics) Electron and X-Ray Spectroscopy Techniques ; Corrosion Behavior and Inhibition ; Anodic Oxide Films and Nanostructures
Authors: Jingquan Zheng | Bangdou Huang | Geng Chen | Cheng Zhang | Zixuan Zhao | Shaolong Zhong | Tao Shao | Youping Tu
Source: Communications Materials (article, 2025-07-19)
Field: Materials Science — Materials Chemistry

High-resolution space charge distribution in micro-scale dielectric films Space charge, as an intrusive microscopic parameter of dielectric, dictates the energy storage performance and its insulation deterioration in a wide range of servicing environments. However, the distribution of space charge within micron-scale dielectric films and the underlying interface problem are obscured by the limited resolution of existing measurement methods. Picosecond laser induced pressure-wave propagation (LIPP) technology is employed to measure the space charge of dielectric films (down to 3.8 μm) with spatial resolution of 200 nm. By decreasing the metal-dielectric potential barrier and increasing the metal coverage, the symmetric charge distribution in 5.8 μm biaxially oriented polypropylene (BOPP) promotes the electric field uniformity, moving the peak electric field from vicinity of metal-dielectric interface to the middle of film. The injection of space charge is in excellent accordance with the band gap measured by ultraviolet spectrum and energy level splitting simulated by density functional theory. Bridging the metal-dielectric interface and space charge distribution, this work provides fundamental understanding of universal interface problem and guides exploration of robust dielectrics for universal environment service. Space charge influences significantly the energy storage and insulation of dielectric materials, yet its distribution in micron-scale films remains poorly understood due to measurement limitations. Here, the authors utilize picosecond laser induced pressure-wave propagation technology to achieve high-resolution mapping, revealing insights into charge distribution and guiding the development of robust dielectrics for diverse applications. Space charge ; Dielectric ; Materials science ; Scale (ratio) ; Space (punctuation) ; Resolution (logic) ; Optoelectronics ; Physics ; Computer science ; Nuclear physics ; Artificial intelligence ; Quantum mechanics High voltage insulation and dielectric phenomena ; Semiconductor materials and devices ; Ferroelectric and Piezoelectric Materials
Authors: Simona Gavrilaş
Source: Membranes (review, 2025-06-02)
Field: Materials Science — Biomaterials

Nanomembranes as Eco-Friendly Instruments for Modern Food Processing, from Filtration to Packaging With the increasing demand for safe, high-quality, and sustainable food, nanomembranes have attracted significant interest as innovative solutions in food processing. They are extremely thin structures created from special materials that allow for the selective filtration of very small particles. In the food industry, such approaches are increasingly used for packaging and processing, as they can slow down food degradation and thus extend its shelf life. This article examines the potential of utilizing nanomembranes as ecological tools at various stages of the food chain, ranging from advanced filtration of food liquids to the development of smart and active packaging. This study reviews the recent research in the field, highlighting the applications developed and presenting targeted advantages and disadvantages. The developed applications primarily focus on extending the shelf life of products while also discussing their antioxidant and antibacterial attributes. By highlighting the latest applications and emerging research directions, this article underscores the pivotal role of nanomembranes in facilitating the transition to a modern, sustainable, and environmentally responsible food industry. However, current research faces several challenges. Most products are less biodegradable and, consequently, could harm the environment. Additionally, data on the long-term effects of these materials on human health, particularly when used in packaging that comes into direct contact with food, remain insufficient. Therefore, more sustainable solutions are needed, such as nanomembranes based on natural biopolymers. Further studies are required to assess their safety and real-world effectiveness under industrial conditions. Food packaging ; Active packaging ; Nanotechnology ; Food industry ; Food processing ; Harm ; Materials science ; Biochemical engineering ; Business ; Engineering ; Mechanical engineering ; Food science ; Chemistry Nanocomposite Films for Food Packaging ; Microplastics and Plastic Pollution
Authors: Michelle Ernst | Rostislav Fedorov | Alessandro Calzolari | Fabian F. Grieser | Sophia Ber | Ganna Gryn’ova
Source: ChemRxiv (preprint, 2025-02-20)
Field: Materials Science — Materials Chemistry

Fragment to Framework: Bottom-Up Engineering of Band Gaps in Covalent Organic Frameworks Understanding structure-property relationships in ordered functional materials is essential for their rational design and optimisation. Fragment-based approaches relating materials’ properties to those of their building blocks (fragments) are intuitive to chemistry and have been successfully applied in the design of metal-organic frameworks (MOFs). However, covalent organic frameworks (COFs) are resistant to such in silico fragmentation due to their covalent bonds and ambiguous definitions of nodes and linkers. Here we introduce a new algorithm, deCOFpose, designed to systematically fragment COFs into building blocks according to chemically intuitive rules, enabling fragment-based structure-property analysis, and exemplify the latter for COFs band gaps. Our results reveal that the electronic features (e.g., energies of the frontier molecular orbitals) of the building blocks alone are insufficient to fully represent these materials, and the inclusion of their topological characteristics is required to engineer bespoke COFs with desired band structures. Fragment (logic) ; Covalent bond ; Top-down and bottom-up design ; Covalent organic framework ; Chemistry ; Nanotechnology ; Business ; Engineering ; Computer science ; Materials science ; Software engineering ; Organic chemistry Covalent Organic Framework Applications ; Metal-Organic Frameworks: Synthesis and Applications ; Intensive Care Unit Cognitive Disorders
Authors: Zhihui Yan | Jie Zhang | Zheng Xie | Chang Liu | Yizhen Liu | Yiping Song
Source: Research Square (preprint, 2025-11-06)
Field: Materials Science — Materials Chemistry

MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Generative model ; Bridging (networking) ; Generative grammar ; Graph ; Generator (circuit theory) ; Property (philosophy) ; Chemical space ; Adaptability Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Advanced Graph Neural Networks