jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Rakesh K. Sahoo | Subhaprada Dash | Sanjay Kumar Sahu | Joydip Sengupta
Source: Discover Electrochemistry. (article, 2025-12-04)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Aluminum-based metal–organic framework and its derived nanostructures in hybrid-supercapacitor: a prospective review Supercapacitors, particularly hybrid supercapacitors, have been a challenging area of research in recent years. The advantage of hybrid supercapacitors (HSCs) lies in their ability to metal–organic framework bridge the gap between the required energy density and the reported energy densities of electrical double-layer capacitors (EDLCs) and pseudocapacitors (PSCs). Generally, a HSC combines EDLC and PSCs -type electrodes in an asymmetric configuration. This asymmetric combination holds significant potential for utilization in various power-dependent devices. However, the energy-efficient application of HSCs demands innovation in several critical aspects. In this review, we address the recent developments in HSCs and their storage mechanisms. We focus on the engineering and innovations in electrode–electrolyte design, with special attention to aluminum-based metal–organic frameworks and their derived materials as electrodes. Furthermore, we illustrate electrochemical profile assessments, device fabrication strategies, and emerging applications. Finally, we elaborate on the existing challenges and future perspectives of HSCs. Pseudocapacitor ; Supercapacitor ; Capacitor ; Electrochemical energy storage ; Bridge (graph theory) ; Energy storage ; Energy density Supercapacitor Materials and Fabrication ; Metal-Organic Frameworks: Synthesis and Applications ; Nanoporous metals and alloys
Authors: Rajeev Kumar | Harish Kumar Choudhary | Shital Patangrao Pawar | Manjunatha Mushtagatte | Balaram Sahoo
Source: Microwave (article, 2025-08-25)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Tailoring Microwave Absorption via Ferromagnetic Resonance and Quarter-Wave Effects in Carbonaceous Ternary FeCoCr Alloy/PVDF Polymer Composites In this study, we investigate the dominant electromagnetic wave absorption mechanism–ferromagnetic resonance (FMR) loss versus quarter-wave cancellation in a novel PVDF-based polymer composite embedded with carbonaceous nanostructures incorporating FeCoCr ternary alloy. The majority of the nanoparticles are embedded at the terminal ends of the carbon nanotubes, while a small fraction exists as isolated core–shell, carbon-coated spherical particles. Overall, the synthesized material predominantly exhibits a nanotubular carbon morphology. High-resolution transmission electron microscopy (HRTEM) confirms that the encapsulated nanoparticles are quasi-spherical in shape, with an average size ranging from approximately 25 to 40 nm. The polymeric composite was synthesized via solution casting, ensuring homogenous dispersion of filler constituent. Electromagnetic interference (EMI) shielding performance and reflection loss characteristics were evaluated in the X-band frequency range. Experimental results reveal a significant reflection loss exceeding −20 dB at a matching thickness of 2.5 mm, with peak absorption shifting across frequencies with thickness variation. The comparative analysis, supported by quarter-wave theory and FMR resonance conditions, indicates that the absorption mechanism transitions between magnetic resonance and interference-based cancellation depending on the material configuration and thickness. This work provides experimental validation of loss mechanism dominance in magnetic alloy/polymer composites and proposes design principles for tailoring broadband microwave absorbers. Materials science ; Ternary operation ; Composite material ; Microwave ; Alloy ; Ternary alloy ; Polymer ; Absorption (acoustics) ; Resonance (particle physics) Electromagnetic wave absorption materials ; Advanced Antenna and Metasurface Technologies ; Magnetic Properties and Synthesis of Ferrites
Authors: Juri Franz Schubert | Salman Fariz Navas | Sabine H. L. Klapp
Source: ArXiv.org (preprint, 2025-04-29)
Field: Materials Science — Materials Chemistry

Self-assembly and time-dependent control of active and passive triblock Janus colloids We perform Brownian Dynamics (BD) simulations to explore the self-assembly of a two-dimensional model system of triblock Janus colloids as an example of "patchy" colloids forming complex structures. Previous experiments and simulation studies have shown that such systems are capable of forming a two-dimensional Kagome lattice at room temperatures. However, it is well established that the crystallization is strongly hampered by the formation of long-living metastable aggregates. For this reason, recent studies have investigated activity, i.e., self-propulsion of the Janus particles as a mechanism to accelerate the formation of stable Kagome structures [Mallory and Cacciuto, JACS 141, 2500-2507 (2019)] at selected state points. Here we extend, first, the investigations of active Janus colloids for a broader range of densities and temperatures. We also characterize in detail the associated nucleation of Kagome clusters, as well as their structure in the steady state. Second, to make contact to the equilibrium case, we propose a simple activity time protocol where an initially chosen activity is switched off after a finite time. With this protocol, we not only find Kagome structures in a much broader range of densities than in the purely passive case, but also obtain a Kagome crystallization boundary very close to that proposed in earlier Monte Carlo simulations. Janus ; Brownian dynamics ; Metastability ; Crystallization ; Janus particles ; Nucleation ; Colloid ; Lattice (music) Pickering emulsions and particle stabilization ; Micro and Nano Robotics ; Material Dynamics and Properties
Authors: Ali Saleh Hussein Alqushaibi | Sabah Khan | Muhamad Safwan Muhamad Azmi
Source: International Journal of Novel Research and Development (article, 2025-01-01)
Field: Materials Science — Ceramics and Composites

A comparative analysis was conducted by applying casting law of mixture on three distinct composites having same matrix metal, LM 25, but reinforced material is having three different ceramics in equal by volume fraction for mechanical properties of the composites. The different ceramics Boron Nitride (BN), Boron Carbide (B4C), and Silicon Nitride (Si3N4) at varying reinforcement levels of 3%, 6%, and 9%. A comparative analysis was conducted by applying casting law of mixture on three distinct composites having same matrix metal, LM-25, but reinforced material is having three different ceramics in equal by volume fraction for mechanical properties of the composites. The different ceramics—Boron Nitride (BN), Boron Carbide (B4C), and Silicon Nitride (Si3N4)—at varying reinforcement levels of 3%, 6%, and 9%. Composite material ; Materials science ; Matrix (chemical analysis) ; Casting ; Ceramic ; Metal ; Ceramic matrix composite ; Law ; Metallurgy Advanced ceramic materials synthesis ; Aluminum Alloys Composites Properties ; Additive Manufacturing and 3D Printing Technologies
Authors: N. P. G. Pambou-Tobi | Arnaud W. G. Tamba Sompila | Murielle Bertrand | Daglish Rucia Mouna Tchibondo | Reyes Herdenn Gampoula | Sylvia Pétronille Ntsossani | Haïshat Souleymane Mahoumi | Michel Elenga
Source: Advances in Biological Chemistry (article, 2025-01-01)
Field: Chemistry — Organic Chemistry

Physicochemical and Morphological Characterization of the Skin, Pupa, and Seeds of &lt;i&gt;Flacourtia&lt;/i&gt; &lt;i&gt;jangomas&lt;/i&gt; (Lour) Raeusch Fruit from Kindzaba, Bouenza Department The fruit of Flacourtia jangomas, known as Indian plum, Madagascan plum, or coffee plum, is highly prized in Asian and African countries for its pleasant sweet and sour taste. Very little research has been done on this fruit in Congo, so the aim of our work is to evaluate the morphological and biochemical composition of the pulp, skin, and seeds of Flacourtia jangomas (Lour) Raeusch fruits harvested in the village of Kindzaba in Loutété, in the Bouenza region. Standard physicochemical methods and appropriate calibration methods were used to characterize the fruits. The results on morphology showed variation in the different structural parts of the fruit according to the three sizes identified. Furthermore, although the data on the mass percentage of pulp, skin, and seeds were significantly different (α < 0.05), they indicate that fruit size is not an obstacle to the manufacture of value-added products. The biochemical results for the fruit showed that the pulp and skin contained a large amount of water (69.03 ± 1.19%) and soluble sugars based on glucose (0.99 ± 0.02%) compared to the seeds. However, the seeds were found to have a higher content of ash (2.86 ± 0.78%), protein (5.06 ± 0.11%), lipids (9.47 ± 0.09%), total sugars (74.63 ± 1.06%), and dry solids (92.02%). The energy value was 134.73 ± 1.03 Kcal in the pulp-skin and 403.99 ± 1.86 Kcal in the seeds. The pH of the pulp/skin (3.38 ± 0.70) is lower than that of the seeds (5.36 ± 0.04); the pulp/skin is much more acidic than the seeds. Finally, these results are conclusive and provide information on the potential of all the fruit structures of the Indian plum. Pulp (tooth) ; Composition (language) ; Chemical composition ; Dry weight Plant-Derived Bioactive Compounds
Authors: Muhammad Faesal Febriandyono | Sulistyo Sulistyo | Mohammad Tauviqirrahman | Rayhan Calista | Reza Abdu Rahman
Source: Advances in Science and Technology – Research Journal (article, 2025-02-17)
Field: Materials Science — Materials Chemistry

Improving the permeability characteristic of nickle oxide/yttria stabilized zirconia anode through thermal decomposition of organic porous support as sustainable material for green hydrogen ecosystem Materials science ; Permeability (electromagnetism) ; Anode ; Yttria-stabilized zirconia ; Chemical engineering ; Porosity ; Thermal decomposition ; Cubic zirconia ; Oxide ; Composite material ; Chemistry ; Membrane ; Metallurgy ; Ceramic ; Organic chemistry Advancements in Solid Oxide Fuel Cells ; Electrocatalysts for Energy Conversion ; Catalytic Processes in Materials Science
Authors: Stephanie Bachir | Christian Hamm | Toni Kotnik
Source: Aaltodoc (Aalto University) (article, 2025-01-01)
Field: Materials Science — Biomaterials

Morphological Insights from Asterolampraceae for the Development of Bio-inspired Shell Structures This research explores the potential of transferring diatom-based bionic principles to architectural shells. Diatoms, unicellular algae with silica shells, serve as natural exemplars of lightweight, efficient design. Among their 200,000 species, the Asterolampraceae family stands out for its functional complexity, featuring centrally radiating walls, bifurcating T-sections, and layered porous membranes. Their surface undulations, tear-shaped cut-outs, and hexagonal patterns draw parallels to Frei Otto’s tensile designs and Félix Candela’s hypar shells, inspiring new bionic design possibilities. A ‘universal’ parametric model is developed in Rhino-Grasshopper, incorporating key morphological characteristics from three representative species: Asterolampra marylandica, Asteromphalus heptactis, and Asteromphalus elegans. This model captures essential traits such as global shell geometry, opening type and count, and membrane mechanics. A theoretical morphospace is then explored using Colibri iterator, with structural analysis performed in Karamba and data visualized in Design Explorer. Findings demonstrate that Asterolampraceae-inspired attributes may be successfully transferred to architectural shells, offering a promising new paradigm for diatom-inspired shell structures. Shell (structure) ; Parallels ; Development (topology) ; Parametric design ; Surface (topology) ; Key (lock) ; Hexagonal crystal system ; Morphology (biology) Diatoms and Algae Research ; Slime Mold and Myxomycetes Research ; Algal biology and biofuel production
Authors: Favio A. Ocampo-Vaca | Universidad Michoacana de San
            Nicolás de Hidalgo | Constantin Alberto Hernández-Bocanegra | Rafael Maya‐Yescas | José Ángel Ramos-Banderas
Source: Revista Mexicana de Ingeniería Química (article, 2025-03-05)
Field: Materials Science — Materials Chemistry

Numerical analysis of ilmenite particle diameter on thermal and fluid dynamic behavior in a chemical loop combustion system Derivation and application of Ilmenite ; Particle (ecology) ; Combustion ; Loop (graph theory) ; Thermal ; Materials science ; Mechanics ; Thermal analysis ; Thermodynamics ; Chemistry ; Mineralogy ; Physics ; Geology ; Mathematics Thermal and Kinetic Analysis ; Oil, Gas, and Environmental Issues ; Combustion and Detonation Processes
Authors: Amit Dey | Bradley Olinger | Mozhgan Boroumand | María Emilia Fernández | SLAM investigators | Simonetta Camandola | Nathan L. Price | Rafael de Cabo | Nathan Basisty
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-06-27)
Field: Chemistry — Spectroscopy

Deep and Quantitative Proteomic Profiling of Low Volume Mouse Serum Across the Lifespan Assessing and validating circulating biomarkers is essential for the development of pre-clinical biomarkers that predict biological aging and aging-phenotypes in mice. However, comprehensive proteomics of serum, especially in longitudinal mouse studies, are limited by low volumes of samples. In this study, we develop a workflow for comprehensive and quantitative proteomic analysis of low volume mouse serum and demonstrate its utility and performance in identifying and evaluating key associations with aging phenotypes. Notably, a nanoparticle (NP)-based serum processing workflow coupled to mass spectrometry (MS) increases proteomic coverage by 3 to 6-fold across a range of volumes and provides a quantitative and reproducible (CV < 10%) pipeline for NP-based studies. In a study of 30 mice (aged 12, 24, and 30 months), we uncovered 3992 protein groups across all samples (2235 on average) in 20 µL of serum and highlight novel insights into aging-associated changes in serum and associations with glucose and body composition. With 1 µL additional serum, a 48-cytokine assay quantified 39 additional proteins not identified by MS. This study establishes a powerful workflow that enables deep quantitative proteomics of biologically relevant proteins in volumes feasibly obtained from mice (21 µL of serum) and presents fundamental insights into the aging serum proteome. Profiling (computer programming) ; Computational biology ; Biology ; Computer science Advanced Proteomics Techniques and Applications ; Molecular Biology Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Nathan Basisty | Amit Dey | Bradley Olinger | Mozhgan Boroumand | María Emilia Fernández | SLAM Investigators | Simonetta Camandola | Nathan L. Price | Raquel Cabo
Source: Research Square (preprint, 2025-07-31)
Field: Chemistry — Spectroscopy

Deep and Quantitative Proteomic Profiling of Low Volume Mouse Serum Across the Lifespan Profiling (computer programming) ; Computational biology ; Biology ; Computer science Advanced Proteomics Techniques and Applications ; Molecular Biology Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Zhipeng Li
Source: Frontiers in Computing and Intelligent Systems (article, 2025-08-29)
Field: Chemistry — Analytical Chemistry

Research on Apple Internal Quality Classification Based on Near-Infrared Spectroscopy In this study, Luochuan Red Fuji apple in Shaanxi Province was taken as the experimental object, and the sugar content and spectral data were measured and averaged at three locations at the upper distance of the equator. SPXY method was used to divide the data set, MAS, SNV, MC three data preprocessing methods were used, and CARS were used to select the characteristic wavelength, and three classification models SVC, DT and KNN were established. The results show that SPXY + MC + CARS + DT model has the best classification results, and the accuracy rate, accuracy rate, recall rate and F1 score reach 0.955 respectively. In summary, the use of near-infrared spectroscopy technology can be used in Apple's internal quality classification, which improves the basis and reference for the application of Apple's non-destructive testing technology. Infrared spectroscopy ; Quality (philosophy) ; Infrared ; Spectroscopy ; Materials science ; Environmental science ; Chemistry ; Optics ; Physics ; Organic chemistry Spectroscopy and Chemometric Analyses
Authors: Annie Heath | Jan Goelen | Pem Chuki | Aislinn Cook | Filip Djukic | Nga Thi Thuy | Elisa Funiciello | Sumanth Gandra | Brian Godman | Benedikt Huttner | Yara Khalaf | Giulia Lorenzetti | Marc Mendelson | Catrin E. Moore | Cláudia Garcia Serpa Osorio-de-Castro | Zikria Saleem | Jeroen Schouten | Elizabeth Tayler | Evelyn Wesangula | AWaRe-Based QIs Delphi Panel | Stephen Campbell | Mike Sharland
Source: medRxiv (preprint, 2025-10-25)
Field: Chemistry — Inorganic Chemistry

Development of AWaRe antibiotic quality indicators for optimal use Abstract Background The World Health Organization (WHO) (AWaRe (Access/Watch/Reserve) book gives detailed guidance on the optimal use of antibiotics across primary care and hospitals for adults and children with the aim of improving the quality of use. Objectives To develop universally applicable, model sets of appropriate and feasible quality indicators based on the WHO AWaRe system for primary care, hospital, and general indicators for optimal antibiotic use. Methods Indicators from a scoping review were revised to focus on clinical infections in the AWaRe book. They were assessed using consensus techniques through two rounds each of the Global Delphi Technique and RAND/UCLA Appropriateness Method, evaluating appropriateness and feasibility at national and global levels respectively. In Round 1 of each method, panellists rated clarity and suggested revisions or new indicator. Round 2 results are reported. Findings There were 102 quality indicators (Primary Care: 46; Hospital: 39; General: 17) included in Round 2 of the Delphi Technique and 136 indicators (Primary Care: 56; Hospital: 60; General: 20) in Round 2 of the RAND/UCLA method, which are presented as model sets of indicators. From these broad sets, 12 indicators from the Delphi Technique and 31 indicators from the RAND/UCLA method were rated both appropriate and feasible with agreement respectively. Conclusion These model AWaRe-based, universally applicable quality indicators can be locally adapted to improve the optimal use of antibiotics and inform global and country specific antimicrobial stewardship programs (AMS). Delphi method ; CLARITY ; Quality (philosophy) ; Antimicrobial stewardship ; Delphi ; Health care ; Performance indicator ; Primary health care Radioactive element chemistry and processing ; Radiation Detection and Scintillator Technologies
Authors: Mouyang Cheng | Chu-Liang Fu | Ryotaro Okabe | Abhijatmedhi Chotrattanapituk | Artittaya Boonkird | Nguyen Tuan Hung | Mingda Li
Source: Nature Materials (article, 2026-01-02)
Field: Materials Science — Materials Chemistry

Artificial intelligence-driven approaches for materials design and discovery Generative grammar ; Generative Design ; Component (thermodynamics) ; Key (lock) ; Reinforcement learning ; Deep learning ; Inverse Machine Learning in Materials Science ; Block Copolymer Self-Assembly ; Micro and Nano Robotics
Authors: Hasan Karataş | Furkan Eker | Emir Akdaşçi | Mikhael Bechelany | Sercan Karav
Source: International Journal of Molecular Sciences (article, 2026-01-16)
Field: Materials Science — Materials Chemistry

Silver Nanoparticles in Antibacterial Research: Mechanisms, Applications, and Emerging Perspectives Silver nanoparticles (AgNPs) possess distinct physicochemical characteristics and demonstrate high antibacterial potential that highlights them as promising alternatives against a wide range of pathogens. The immense antibacterial potential of AgNPs is primarily attributed to the release of silver ions that lead to the disruption of bacterial cell membrane, generation of reactive oxygen species (ROS), inhibition of protein synthesis and interference with DNA replication. Variations in AgNPs' shape, size, and surface characteristics are also considered key factors determining their effectivity as well as specificity. AgNPs are considered potent antibacterial agents, including against antibiotic- and drug-resistant strains. However, inappropriate dosages or unoptimized application of may result in potential toxicity, consisting one of the main drawbacks of the AgNPs' safer administration. This article reviews the recent literature on the antibacterial potential of AgNPs, focusing on their broad mechanisms of action, applicability, especially in agriculture, biomedical and environmental fields, toxicity and future perspectives. Silver nanoparticle ; Antibacterial activity ; Nanoparticle ; Reactive oxygen species ; Organism ; Antibacterial agent Nanoparticles: synthesis and applications ; Antimicrobial agents and applications ; Polymer-Based Agricultural Enhancements
Authors: Wen Jiang | Jingchen Wang | Rui Guo | Jinwei Wang | Jilong Song | Kai Wang
Source: Coatings (article, 2026-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Electrode Materials and Prediction of Cycle Stability and Remaining Service Life of Supercapacitors This paper reviews the research progress of supercapacitors (SCs), including the influence of electrode materials on energy storage mechanism and performance, and life prediction. Supercapacitors show application potential in many fields due to their high-power density, fast charge–discharge capability, long cycle life, and environmental protection characteristics. In this paper, the energy storage mechanism of the double-layer capacitor, pseudocapacitor, and asymmetric supercapacitor are discussed. New electrode materials, such as carbon-based materials, metal oxides, and conductive polymers, are reviewed based on the performance optimization measures that are involved in the microstructure design of electrode materials, and integrate the rule prediction of supercapacitors into comprehensive learning. When designing and using supercapacitors, we should not only pay attention to their life but also pay attention to their remaining service life in real time. The paper also mentions the progress of life prediction technology, which is of great significance to improve the reliability and maintenance efficiency of energy storage equipment, and ensure the long-term stable operation of energy storage systems. Future research directions include increasing energy density, extending life, adapting to extreme environments, developing flexible and wearable devices, intelligent management, and reducing costs. Supercapacitor ; Energy storage ; Service life ; Reliability (semiconductor) ; Service (business) ; Wearable computer ; Key (lock) ; Energy (signal processing) Supercapacitor Materials and Fabrication ; Electric and Hybrid Vehicle Technologies ; Smart Materials for Construction
Authors: Shuling Chen | Mei Yang | Shaoyang Shen | Liuzhang Ouyang
Source: Progress in Materials Science (article, 2026-01-06)
Field: Materials Science — Materials Chemistry

Advanced simulations from DFT to machine learning for solid-state hydrogen storage: fundamentals, progresses, challenges and perspectives Transformative learning ; Computational model ; Key (lock) ; Hydrogen ; Uncertainty quantification ; Work (physics) ; Hydrogen storage ; Monte Carlo method Hydrogen Storage and Materials ; Machine Learning in Materials Science ; Electrocatalysts for Energy Conversion
Authors: Yueyuan Gu | Juan Shi | Dilshod Nematov | Aoqi Liu | Yanru Yin Yanru Yin | Hailu Dai | Lei Bi
Source: Materials Science and Engineering B (article, 2026-01-29)
Field: Materials Science — Materials Chemistry

A brief review of high-entropy oxides in solid oxide fuel cell applications Solid oxide fuel cell ; Fuel cells ; Decoupling (probability) ; Oxide ; Oxygen reduction ; Energy transformation ; Phase (matter) Advancements in Solid Oxide Fuel Cells ; High Entropy Alloys Studies ; High-Temperature Coating Behaviors