jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Javed Karim | Muhammad Sohail Memon | Haider Raza | Muhammad Usman | Rabia Akram | Muhammad Adil Rashid | Mahnoor Awan | Shaheen Irfan | Dawood Ali
Source: Haya The Saudi Journal of Life Sciences (article, 2025-10-25)
Field: Materials Science — Polymers and Plastics

Next-Generation Polymer and Functional Materials for High-Efficiency Solar Energy Conversion and Integrated Storage Devices The increasing global demand for sustainable energy has intensified the need for next-generation materials capable of efficient solar energy harvesting and storage. Here, we present a novel class of polymer-based functional materials designed for simultaneous high-efficiency solar energy conversion and integrated energy storage. By engineering the molecular architecture and incorporating multi-functional dopants, these materials exhibit enhanced light absorption, charge carrier mobility, and electrochemical stability under real-world operating conditions. The unique design allows photogenerated charges to be directly stored within the material matrix, effectively combining photovoltaic and supercapacitor functionalities into a single device. Experimental studies demonstrate a record-breaking energy conversion efficiency of 22.7% and stable energy retention over 1000 charge–discharge cycles. Advanced characterization techniques, including ultrafast spectroscopy and in situ electron microscopy, reveal the synergistic interactions between polymer chains and functional additives, which are crucial for maximizing performance. This work introduces a paradigm shift in the design of multifunctional polymeric materials, enabling scalable, lightweight, and flexible devices suitable for next-generation wearable electronics, autonomous sensors, and off-grid energy solutions. The proposed strategy not only addresses the critical challenges in conventional solar and storage systems but also opens new avenues for the rational design of integrated energy devices with unprecedented performance metrics. The presented research underscores the transformative potential of functional polymers in achieving sustainable and compact energy solutions, providing a roadmap for future innovation in solar-driven energy technologies. Photovoltaic system ; Energy transformation ; Energy storage ; Supercapacitor ; Solar energy ; Energy harvesting ; Efficient energy use ; Characterization (materials science) ; Photovoltaics ; Electrochemical energy storage Conducting polymers and applications
Authors: Ambrose Maduka Okafor | Karsten Moh | Kingsley Madu
Source: International Journal of Research Publication and Reviews (article, 2025-07-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Sustainable Energy Materials: A Review Of Biomass-Derived Materials For Energy Storage And Conversion The growing emphasis on sustainable energy technologies worldwide has motivated investigations into bio-derived materials for energy storage and conversion.This review highlights recent developments in biomass processing methods like pyrolysis and hydrothermal carbonization, which produce high-performance materials, such as hard carbon anodes and porous carbon electrodes.These materials provide renewable, sustainable alternatives to standard resources and alleviate environmental and geopolitical concerns associated with fossil fuels and rare metals.However, challenges remain, such as varying feedstock, large-scale production, and lower performance in acidic conditions.Cost-effectiveness and life-cycle trade-offs cloud the prospects for widespread adoption.The research also demonstrates the potential of hybrid systems and policy measures in addressing these challenges and highlights the role of biomass as a key sustainable energy technology compatible with Circular Economy guidelines. Biomass (ecology) ; Sustainable energy ; Energy storage ; Environmental science ; Energy transformation ; Materials science ; Waste management ; Process engineering ; Renewable energy ; Engineering ; Physics ; Geology ; Power (physics) ; Electrical engineering ; Thermodynamics Supercapacitor Materials and Fabrication
Authors: Mostafa M. Elkady | Mohammed F. Radwan
Source: Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES) (article, 2025-10-30)
Field: Chemistry — Inorganic Chemistry

Organic–Inorganic Hybrids: From Synthesis to Emerging Applications in Electronics and Energy Organic-inorganic (O/I) hybrid materials represent a dynamic and multidisciplinary field at the intersection of chemistry, materials science, and engineering.These materials, defined by nanoscale integration and synergy between organic polymers and inorganic frameworks, enable properties unattainable by single-phase systems.This review provides a comprehensive overview of the synthesis strategies for O/I hybrids, including sol-gel processing, microwaveassisted and hydrothermal methods, in situ mineralization, solvent-free techniques, polyoxometalate-based frameworks, and thermal/vapor-phase polymerization.The distinct classification of hybrids into Class I (physical interactions) and Class II (chemical bonding) is discussed in the context of tailoring properties for specific functions.Illustrative examples underscore the advanced applications of O/I hybrids in thermoelectric devices, organic light-emitting diodes (OLEDs), photocatalysis, photovoltaics, and wearable sensors, demonstrating their roles in energy conversion, environmental remediation, electronics, and flexible biocompatible platforms.Current trends emphasize interface engineering, lowdimensional hybrid systems, and sustainability.The evolving landscape and prospects highlight both the technological promise and ongoing challenges in stability, scalability, and green synthesis for next-generation functional materials. Electronics ; Energy (signal processing) ; Field (mathematics) ; Energy consumption Metal-Organic Frameworks: Synthesis and Applications ; Organic Light-Emitting Diodes Research ; Organic Electronics and Photovoltaics
Authors: G. Aswin | V. Prakash | N. Subasree | V. Arul | Prabhu Paramasivam | Lalitha Gnanasekaran | Madhappan Santhamoorthy | K. Radhakrishnan
Source: npj Materials Degradation (article, 2025-12-27)
Field: Materials Science — Polymers and Plastics

Recent advances in corrosion behaviour and interfacial failure of rubber–metal composites Abstract Rubber- Metal Composite are extensively used in automotive, aerospace and offshore industry as well as in the industry due to its flexibility, damping, and mechanical strength. Their work is however limited regularly through failure between interfaces and corrosion in highly aggressive conditions such as exposure to saline, thermal cycling, and mechanical fatigue. The review highlights recent advances in the study of corrosion behavior and interfacial degradation mechanisms of rubber-metal systems, as well as the effects of different formulations, vulcanization processes, surface modification, and filler engineering on adhesion, fatigue, and wear resistance. The new tendencies reflect a shift away from descriptive observation and toward mechanism-based insights, which are aided by the use of multi-scale modeling and real-time sensing to forecast crack initiation and interfacial delamination. New corrosion mitigation technologies are being reinterpreted in sustainable directions such as bio-based fillers, recycled rubber, and circular material design, with the goal of generating greener, more durable solutions. This review integrates experimental and computational insights to map the pathways to improved interfacial dependability, environmental resilience, and next-generation performance of rubber-metal composites. Corrosion ; Aerospace ; Work (physics) ; Composite number ; Filler (materials) ; Aerospace materials ; Delamination (geology) Polymer Nanocomposites and Properties ; Elasticity and Material Modeling ; Polymer composites and self-healing
Authors: Yating Fang | Lin Yang | Zhifeng Huang
Source: Nanomaterials (article, 2025-10-13)
Field: Materials Science — Surfaces, Coatings and Films

Advanced Optoelectronic Applications of Nanopillar Arrays Fabricated by Glancing Angle Deposition Glancing angle deposition (GLAD) is a unique physical vapor deposition technique to enable wafer-scale production of close-packed nanopillar arrays (NaPAs) made of a wide range of inorganic and organic materials and engineerable structures, offering great potential for advanced optoelectronic applications. By flexibly controlling substrate rotation during GLAD, this technique enables intricate sculpture of nanopillars in vertical/tilted column, helix, zigzag, and square spiral shapes or a combination of these shapes along the vertical growth axis. In particular, NaPAs exhibit unique engineerability in their material/structure-determined optical, electronic, chemical, mechanical, and morphological properties, making them versatile for significant applications in photovoltaics, photodetection, photocatalysis, and advanced displaying. In this review, we provide a comprehensive overview of recent advancements in optoelectronic applications of GLAD-fabricated NaPAs by exploring the relationship between structural features and device functionality. Additionally, we discuss the technical challenges associated with GLAD, such as scalability, material compatibility, and fabrication precision, and address prospects to produce next-generation optoelectronic devices. Nanopillar ; Fabrication ; Substrate (aquarium) ; Deposition (geology) ; Chemical vapor deposition ; Etching (microfabrication) ; Spiral (railway) Optical Coatings and Gratings ; Nanowire Synthesis and Applications ; GaN-based semiconductor devices and materials
Authors: Jinghong Li
Source: eChem (article, 2025-07-09)
Field: Chemistry — Electrochemistry

The Spark of Discovery: Charting Electrochemistry’s Future with eChem Scilight Press is an international academic publisher dedicated to open-access peer-reviewed journals and books. As a global multidisciplinary publisher, we provide a platform for researchers, scholars, and academics to disseminate their work across diverse fields of study. We are committed to advancing knowledge and fostering academic discourse. SPARK (programming language) ; Multidisciplinary approach ; Dissemination ; Work (physics) ; Field (mathematics) Electrochemical Analysis and Applications ; CO2 Reduction Techniques and Catalysts ; Electrocatalysts for Energy Conversion
Authors: Hakimeh Ardeshirfard | Dawood Elhamifar | Masoumeh Shaker
Source: Scientific Reports (article, 2025-08-24)
Field: Chemistry — Organic Chemistry

Co3O4@mSiO2 nanocomposite supported Pd/ionic liquid as an efficient and magnetically recoverable nanocatalyst In this work, a novel core-shell structured magnetic Co<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub> nanocomposite supported ionic liquid/palladium (Co<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub>/IL-Pd) is synthesized and its structure is characterized by using PXRD, EDX, FT-IR, SEM, TEM, TGA and VSM. This magnetic material was prepared through coating of mesoporous silica shell on magnetic cobalt oxide nanoparticles followed by chemical immobilization of ionic liquid/Pd complex. The Co<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub>/IL-Pd nanocomposite was used as an efficient and powerful catalyst for the reduction of nitrobenzenes. The excellent yield of the products, short reaction time and easy catalyst recoverability with no significant decrease in activity showed the high efficiency and stability of the designed nanocomposite under applied conditions. Nanocomposite ; Ionic liquid ; Materials science ; Chemical engineering ; Catalysis ; Mesoporous silica ; Coating ; Palladium ; Mesoporous material ; Cobalt ; Oxide ; Magnetic nanoparticles ; Nitrobenzene ; Nanoparticle ; Nuclear chemistry ; Nanotechnology ; Chemistry ; Organic chemistry ; Metallurgy Nanomaterials for catalytic reactions ; Innovative Microfluidic and Catalytic Techniques Innovation ; Ionic liquids properties and applications
Authors: Ningxiang Wu | Weidong Shi | Wenxin Wang | Yong Lei
Source: Small (article, 2025-03-05)
Field: Materials Science — Materials Chemistry

Well‐Defined Nanostructures: Concept, Impact and Perspective Well-defined nanostructures (WDNSs) represent a transformative frontier in nanotechnology, enabling precise control over material properties through nanoscale engineering. The connectivity of nanoscale building blocks is increasingly critical in defining the properties and applications of WDNSs. Traditional dimensionality-based classifications provide foundational insights but overlook the delicate influence of connectivity architectures on functionality. This perspective introduces a supplementary classification framework based on connectivity modes, including discrete connections, serial connections, 2.5D connections, and 3D interpenetrations. Each category defines specific structural configurations that decide the spatial arrangement, interaction dynamics, and functional integration of nanoscale components. This framework establishes a unique perspective for understanding WDNSs, linking their structural design with diverse applications in catalysis, energy storage, biomedicine, and beyond. By regulating connectivity strategies with emerging functional demands, WDNSs offer considerable opportunities for designing multifunctional materials, providing a foundation for advancing nanotechnology in addressing complex scientific and societal challenges. Finally, advanced rational design, accurate synthesis, comprehensive deployment, and sustainable development remain critical to addressing bottlenecks in WDNSs development. Nanotechnology ; Computer science ; Transformative learning ; Perspective (graphical) ; Software deployment ; Data science ; Management science ; Systems engineering ; Risk analysis (engineering) ; Engineering ; Artificial intelligence ; Materials science ; Software engineering ; Business ; Sociology MXene and MAX Phase Materials ; Advanced Photocatalysis Techniques ; Quantum Dots Synthesis And Properties
Authors: Daniel Sinausia | Florian Meirer | Anatoly I. Frenkel | Charlotte Vogt
Source: ChemRxiv (preprint, 2025-07-30)
Field: Chemistry — Electrochemistry

Dynamic Response Spectroscopy: an Emergentist Framework for Multi-Timescale Electrode-Electrolyte Interfacial Dynamics The interfaces that govern electrocatalytic reactivity exhibit complex, often coupled, multi-timescale behavior arising from the dynamic organization of ions, solvent molecules, and adsorbates. Regions referred to in classical models as the Stern or diffuse double layers are, in practice, neither static nor ideally defined backgrounds, but active, dynamic contributors to catalytic function. Nevertheless, most electrochemical and spectroscopic probes rely on assumptions of linearity or time-invariance, (implicitly) limiting their ability to resolve such intricacies. In this Perspective, we formalize and expand on Dynamic Response Spectroscopy (DRS), a framework that leverages temporally structured electrochemical perturbations and time-resolved spectroscopic detection to disentangle overlapping, and potentially coupled, nonlinear interfacial dynamics, including those that are non-Faradaic. We introduce a generalized simulation approach to model spectrotemporal responses to modulation, enabling systematic evaluation of component (elementary reaction, process) retrievability across varying coupling topologies and kinetic regimes. We illustrate the capabilities of DRS using both synthetic systems and experimental operando ATR-SEIRAS measurements during CO2 electroreduction on copper. The results demonstrate how DRS can uncover solvent dynamics, charging delays, and memory effects that elude current-only, or single frequency or modality analyses. Rather than imposing predefined mechanistic assumptions, DRS allows the system’s natural dynamical structure to emerge. We discuss the conceptual implications and practical considerations for implementing DRS across diverse catalytic systems. By acknowledging time-domain complexity, DRS can offer a new axis of mechanistic insight into the complex, emergent behaviors that shape catalytic performance. Electrolyte ; Spectroscopy ; Dynamics (music) ; Electrode ; Materials science ; Chemical physics ; Nanotechnology ; Physics ; Chemistry ; Physical chemistry ; Acoustics Electrochemical Analysis and Applications ; Spectroscopy and Quantum Chemical Studies
Authors: Fei Chen | Chenxi Gao | Jiakun He | Yamei Zhang | Lei Chen | Xiangyong Zhao | Shujuan Xiao
Source: Advances in Engineering Research Possibilities and Challenges (article, 2025-08-04)
Field: Chemistry — Inorganic Chemistry

Preparation and Application of MOF on MOF Photocatalyst This review summarizes the preparation methods of MOF-on-MOF materials and their application progress in the field of photocatalysis. It highlights the unique advantages of such materials in photocatalytic applications and discusses their application examples in areas including environmental remediation, energy conversion, photoelectrochemistry, and the development of antibacterial mate-rials. Finally, it outlines the main challenges currently facing MOF-on-MOF photocatalytic systems and provides an outlook on their future research direc-tions in the field of photocatalysis. Photocatalysis ; Metal-organic framework ; Materials science ; Nanotechnology ; Chemical engineering ; Chemistry ; Engineering ; Catalysis ; Organic chemistry Metal-Organic Frameworks: Synthesis and Applications ; Advanced Photocatalysis Techniques ; Gas Sensing Nanomaterials and Sensors
Authors: Pavel V. Afonine | Paul Adams | Alexandre Urzhumtsev
Source: Structural Dynamics (article, 2025-09-01)
Field: Materials Science — Surfaces, Coatings and Films

Analytical Differentiable Finite-Resolution Density Map Calculation in CCTBX/Phenix Beyond validation, publication, and other analyses, the final stage of structure determination using cryo-EM typically involves atomic model refinement against experimental data. This refinement is most naturally performed in real space - bypassing Fourier space - because all objects at this stage, including models and maps, exist in real space. However, many tools currently used in cryo-EM structure determination originate from and remain anchored to crystallography, which primarily operates in reciprocal (Fourier) space. While Phenix tools specifically designed for cryo-EM during the resolution revolution were tailored to operate in real space - such as phenix.real_space_refine for atomic model refinement against maps, which accounts for 95% of structures deposited in the PDB using cryo-EM - they are still suboptimal in at least two aspects. First, the refinement target for coordinate refinement in phenix.real_space_refine is perhaps the simplest and fastest to compute, as it focuses on fitting atoms to the nearest density peaks without considering the overall shape of the density map. The advantage of this approach is that it enables refinement of very large molecules on relatively modest computing resources (e.g., laptops). However, the drawback is the need for excessive geometric restraints to compensate for the simplicity of this refinement target, which does not account for the shape of the map. The second limitation is that ADP (B-factor) and occupancy refinements still require a bypass through Fourier space, as they rely on spatial integration of density peaks for fitting. Here, we will focus our discussion on implementing resolution-truncated density map calculations in CCTBX and Phenix using accurate, differentiable analytic approximations of density maps. This implementation will enable more accurate real-space refinement in Phenix for all atomic model parameters (coordinates, ADPs, occupancies, etc.), eliminating the need for Fourier space entirely in this process. Additionally, making this approach available in the freely accessible CCTBX framework will provide the broader community with a uniform method for computing finite-resolution density maps and their derivatives with respect to atomic model parameters. This is particularly valuable for machine learning-based model building and refinement approaches, where algorithms for computing differentiable finite-resolution density maps are essential (e.g., qFit, ROCKET). Differentiable function ; Focus (optics) ; Fourier transform ; Reciprocal lattice ; Space (punctuation) ; Simplicity ; Software ; Reciprocal Electron and X-Ray Spectroscopy Techniques ; Semiconductor materials and devices ; Semiconductor materials and interfaces
Authors: Vladislav A. Mints | Jack K. Pedersen | Gustav K. H. Wiberg | Jens Edelvang‐Pejrup | Divyansh Gautam | Kirsten M. Ø. Jensen | Jan Rossmeisl | Matthias Arenz
Source: ChemRxiv (preprint, 2025-07-08)
Field: Materials Science — Materials Chemistry

Learning in Higher Dimensions: A Strategy for Alloy Electrocatalyst Discovery In this work, we demonstrate the inversion of the classical bottom-up approach to drive the discovery of improved energy conversion electrocatalysts top-down. Starting with complex alloy catalysts of many constituents, we down-select to optimal materials by removing low-performing elements from the alloy. The efficiency of this data-driven approach arises from the fact that when studying many elements together in one material, information is also obtained on the less complex alloys that contain fewer constituents. Therefore, the number of experiments required to study the complex alloy is fewer than those needed for studying all constituent alloys individually. In addition, this top-down approach allows for a new way of comparing activity models constructed from experimental data with theoretical simulations. We introduce the approach by studying the Au-Ir-Os-Pd-Pt-Re-Rh-Ru high entropy alloy (HEA) composition space for the acidic oxygen reduction reaction (ORR). By studying 200 compositions, we created a machine-learned activity model and provide evidence that the model can predict the activity of underlying, less complex compositions that are contained in the Au-Ir-Os-Pd-Pt-Re-Rh-Ru HEA composition space. Electrocatalyst ; Alloy ; Materials science ; Metallurgy ; Chemistry ; Electrochemistry ; Electrode Machine Learning in Materials Science ; Neural Networks and Applications ; Electrocatalysts for Energy Conversion
Authors: Ayhan Abdullah Ceyhan | Houssem Lakhali | Ömer Şahi̇n
Source: Konya Journal of Engineering Sciences (article, 2025-12-01)
Field: Materials Science — Materials Chemistry

HYDROTHERMALLY SYNTHESIZED Fe3O4 MAGNETIC NANOPARTICLES AS EFFICIENT CATALYST FOR REUSABLE HYDROGEN GENERATION VIA NaBH4 METHANOLYSIS Herein, we synthesized hydrothermally Fe3O4 nanoparticles (NPs) and investigated their catalytic performance in NaBH₄ methanolysis for hydrogen generation. Key parameters, including the NaBH4 concentration, catalyst loading, and temperature, were optimized. Comprehensive characterization via XRD,SEM, EDX, FTIR, and BET revealed the surface properties of the catalyst. The optimized catalyst exhibited an outstanding HGR of 2721.9 ml gcat⁻¹ min⁻¹ at 30°C with an Ea of 27.18 kJ mol⁻¹. FE-SEM analysis indicated particle agglomeration with a size distribution of 200 nm, whereas the BET data demonstrated a moderate surface area of 37.17 m² g⁻¹ and pore diameter of 13.24 nm. Remarkably, the catalyst maintained 99% efficiency after six reuse cycles, emphasizing its industrial viability and long-term stability. Catalysis ; BET theory ; Hydrogen production ; Nanoparticle ; Economies of agglomeration ; Characterization (materials science) ; Specific surface area Hydrogen Storage and Materials ; Electrocatalysts for Energy Conversion ; Subcritical and Supercritical Water Processes