jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Fan Wu | Xuehua Zhang | Kai Chen | Jinsong Liu | Chenhui Niu | Haizheng Hu | Shunli Wang
Source: Journal of Applied Physics (article, 2025-12-09)
Field: Materials Science — Electronic, Optical and Magnetic Materials

High-performance solar-blind optoelectronic synaptic device based on N-doped Ga2O3 nanowire network for neuromorphic computing Optoelectronic synapses use optical signals as modulation inputs and offer advantages such as low-power consumption, non-contact operation, and high parallelism. However, devices operating in the visible and near-infrared regions are susceptible to ambient light interference, leading to signal distortion and high background noise. In contrast, optoelectronic synaptic devices working in a solar-blind region are impervious to external ambient interference, enabling them to achieve stable and high-fidelity signal transmission effectively. Ga2O3 as a wide bandgap with inherent oxygen-vacancy defects has strong deep-ultraviolet light sensitivity, making it an ideal material for solar-blind optoelectronic synapses. Here, high-performance solar-blind synaptic devices were prepared using nanowire network interfacial effects and nitrogen doping to modulate oxygen vacancies. Notably, the paired-pulse facilitation index increased by approximately 1.2 fold after doping. In handwritten digit recognition experiments, the recognition accuracy of the doped device exceeded 90%, representing an improvement of nearly 15% compared to the undoped counterpart. Furthermore, leveraging its enhanced light perception and strong memory characteristics, a precise optical encryption communication scheme with strong anti-interference capability was also designed. The optoelectronic synaptic devices based on element regulated Ga2O3 nanowire network provide a new way for the development of the next generation of high-performance solar-blind optoelectronic neuromorphic systems. Neuromorphic engineering ; Nanowire ; Modulation (music) ; Distortion (music) ; Doping ; Transmission (telecommunications) ; SIGNAL (programming language) ; Photonics Ga2O3 and related materials ; Advanced Memory and Neural Computing ; 2D Materials and Applications
Authors: Yongpeng Liu | Santiago Rodríguez‐Jiménez | Hongwei Song | Andrea Pannwitz | Dong-Seok Kim | Ana Margarida Coito | Rita R. Manuel | Sophie Webb | Lin Su | Shannon A. Bonke | Ross D. Milton | Inês A. C. Pereira | Sylvestre Bonnet | Leif Hammarström | Erwin Reisner
Source: Angewandte Chemie (article, 2025-02-14)
Field: Materials Science — Biomaterials

Bio‐Inspired Self‐Assembly of Enzyme‐Micelle Systems for Semi‐Artificial Photosynthesis Abstract Supramolecular surfactants provide a versatile platform to construct systems for solar fuel synthesis, for example via the self‐assembly of amphiphilic photosensitizers and catalysts into diverse supramolecular structures. However, the utilization of amphiphilic photosensitizers in solar fuel production has predominantly focused on yielding gaseous products, such as molecular hydrogen (H 2 ), carbon monoxide (CO), and methane (CH 4 ) with turnover numbers (TONs) of synthetic catalysts typically in the range of hundreds to thousands. Inspired by biological lipid‐protein interactions, we present herein a bio‐hybrid assembly strategy that utilizes photosensitizers as surfactants to form micellar scaffolds that interface with enzymes, namely hydrogenases and formate dehydrogenases, for semi‐artificial photosynthesis. Specifically, surfactants with a tris(2,2’‐bipyridine)ruthenium(II) head group provide high photocatalytic activity upon association with the enzymes as their positively charged [Ru(bpy) 3 ] 2+ complex electrostatically interacts with the enzymes favorably to enable direct electron transfer at the micelle‐enzyme interface. Time‐resolved absorption and emission spectroscopy support the beneficial charge carrier dynamics of the reductively quenched [Ru(bpy) 3 ] + species when the enzymes are introduced in the micellar solution. Thus, a biohybrid concept is introduced for solar fuel synthesis using a biomimetic enzyme‐micellar system, providing also a platform for other photocatalytic transformations using enzymes in the future. Artificial photosynthesis ; Micelle ; Photosynthesis ; Self-assembly ; Chemistry ; Nanotechnology ; Chemical engineering ; Materials science ; Biophysics ; Organic chemistry ; Biochemistry ; Aqueous solution ; Biology ; Engineering ; Catalysis ; Photocatalysis Supramolecular Self-Assembly in Materials ; Porphyrin and Phthalocyanine Chemistry ; Polyoxometalates: Synthesis and Applications
Authors: Xiaoheng Jin | Xing Wu | Derrick Ng | Aaron W. Thornton | Durga Acharya | Huanting Wang | Zongli Xie
Source: Nature Communications (article, 2025-10-28)
Field: Chemistry — Inorganic Chemistry

Liquid metal interface enables glassy MOF membranes with defect-mediated CO₂ transport Glassy metal-organic frameworks (MOFs) combine structural disorder with thermal processability, yet their use as membranes has been hindered by difficulties in fabricating thin, continuous and defect-free films. Here we show a float glass-inspired strategy in which liquid gallium guides the vitrification of ZIF-62 into freestanding glassy MOF membranes. By matching surface energy between melt and bath, dewetting is suppressed, enabling uniform membranes with tunable thickness. In pure glassy MOF membranes, uncoordinated nitrogen sites generated during melting enhance CO₂ diffusion, experimentally validating a sorption-assisted transport mechanism. Post-synthetic methylation of these sites reverses CO₂/H₂ selectivity and raises activation energy. We further identify a glassy impurity phase of ZIF with zni topology that emerges under specific conditions, diminishing CO₂ uptake and membrane performance. These results establish how interfacial control and defect engineering together enable high-performance glassy MOF membranes and provide an experimental foundation for probing structure-transport relationships in disordered porous materials. Membrane ; Porosity ; Gallium ; Metal-organic framework ; Glassy carbon ; Nanopore ; Dewetting ; Phase (matter) Metal-Organic Frameworks: Synthesis and Applications ; Membrane Separation and Gas Transport ; Catalysts for Methane Reforming
Authors: Priyanka Shrivastava | Swapan Kumar Biswas
Source: Journal of Environmental Pharmaceutical and Sustainability Science (article, 2025-02-28)
Field: Chemistry — Organic Chemistry

Recent development of Ni-catalyzed C-H activation In recent years, progress in synthetic organic chemistry has been propelled by light-induced reactions, especially by combining photoredox catalysis with nickel catalysis to facilitate cross-coupling reactions that were previously unattainable. Our group embarked on exploring the activation of nickel catalysts through light over the past 5 years, aiming to develop gentle and selective C(sp3)−H cross-coupling reactions by light exposure, eliminating a Ni−Cl bond. Inspired by Nocera laboratory findings, we envisioned using light-induced chlorine atoms to facilitate hydrogen atom transfer (HAT), enabling redox-neutral processes. A Ni/photoredox-catalyzed α-oxy C(sp3)−H arylation was developed and extended it to selectively functionalize aryl chlorides, even those in complex substrates. Exploring various oxidation states, Trimethyl orthoformate was utilized as a methyl radical source for methylation reactions and cross-coupling with feedstock chemicals and late-stage intermediates. Mechanistic investigations, including computational simulations and spectroscopic analyses, revealed the crucial role of chlorine radical generation in these methods, emphasizing the importance of understanding the photochemical behavior of cross-coupling catalysts in metallaphotoredox processes. Deeper insights gained from these studies are expected to facilitate the design of new catalysts and the development of innovative synthetic methods. Catalysis ; Chemistry ; Materials science ; Organic chemistry Catalytic C–H Functionalization Methods ; Asymmetric Hydrogenation and Catalysis
Authors: Xun Tang | Huayu Li | Andrés Lizano-Villalobos
Source: ChemRxiv (preprint, 2025-04-24)
Field: Materials Science — Materials Chemistry

A spectroscopic data-sparing modeling framework for crystallization composition prediction Monitoring the dynamics of the crystallization process is critical in controlling the quality of the product, such as particle size distribution, crystal morphology and purity. Despite its popularity, current process analytical techniques for crystallization monitoring still suffer from many challenges, such as the need for large amount of dataset for calibration. Here we propose a Gaussian deconvolution-based quantification approach that leverages physics understanding of the system and only requires a minimal amount of experimental data to predict the composition of a multi-component solution. Using a model system representative of an antisolvent/cooling crystallization process, we demonstrate the proposed approach can lead to a simple linear model, with comparable prediction accuracy to conventional process analytical models, using a reduced amount of data Given the data-driven nature and the easiness in the setup, we anticipate the proposed approach to benefit a broad range of crystallization systems. Crystallization ; Composition (language) ; Compositional data ; Computer science ; Chemical engineering ; Machine learning ; Engineering ; Philosophy Crystallization and Solubility Studies ; Geochemistry and Geologic Mapping ; Hydrocarbon exploration and reservoir analysis
Authors: S.K. Basu | Cameron Papson | Rebecca Anthony
Source: Journal of Applied Physics (article, 2025-10-28)
Field: Materials Science — Materials Chemistry

Influence of plasma power on deposition rate, crystallinity, and hydrogen desorption in methane-derived carbon nanoparticles Carbon nanoparticles are highly valued for applications in electronics, energy storage, and catalysis, yet their synthesis from methane is hindered by its chemical stability and the difficulty of controlling carbon bonding in reactive environments. In the present study, methane was dissociated using a non-thermal plasma in an argon environment at reduced pressure. The effects of plasma power and residence time on the nanoparticles were investigated through extensive characterization, showing that the plasma power controlled both the deposition rates and crystallinity of the samples, while residence time appeared to have little influence over nanoparticle characteristics. Importantly, these experiments showed a narrow set of conditions under which crystalline graphitic nanoparticles were formed. These conditions were correlated with a rotational gas temperature, as estimated through optical emission spectroscopy of the C2 Swan band spectral region, of 970 °C. Nanoparticle characterization under varied synthesis conditions also revealed the dynamic relationship between bond hybridization and surface hydrogen. By selecting conditions that yield the highest quality crystalline graphite nanoparticles, stable photoluminescence from the nanoparticles was observed. These results point to the capability of non-thermal plasmas for controlling not only the functional properties of nanomaterials but also for selective bond hybridization. Nanoparticle ; Crystallinity ; Argon ; Photoluminescence ; Methane ; Plasma ; Deposition (geology) ; Nanomaterials Carbon Nanotubes in Composites ; Fullerene Chemistry and Applications ; Carbon and Quantum Dots Applications
Authors: Yin Hu | Tianyao Hong | Sheng Zhou | Yangrui Wang | Shiyu Sheng | Jie Hong | Shifang Wang | Chang Liu | Chuang He | Haijie He | Minjie Xu
Source: Processes (article, 2025-12-11)
Field: Materials Science — Materials Chemistry

Synthesis, Applications, and Inhibition Mechanisms of Carbon Dots as Corrosion Inhibitors: A Review Carbon dots (CDs) have recently emerged as a novel class of eco-friendly and multifunctional corrosion inhibitors owing to their nanoscale dimensions, tunable surface functionalities, and sustainable synthesis pathways. This review summarizes the latest progress in CD-based inhibitors, focusing on synthesis methods, applications, and inhibition mechanisms. Various strategies—including hydrothermal/solvothermal treatment, microwave irradiation, pyrolysis, electrochemical synthesis, and chemical oxidation—have been employed to obtain CDs with tailored size, heteroatom doping, and surface groups, thereby enhancing their inhibition efficiency. CDs have demonstrated remarkable applicability across diverse corrosive environments, including acidic, neutral chloride, CO2-saturated, microbiologically influenced, and alkaline systems, often achieving inhibition efficiencies exceeding 90%. Mechanistically, their performance arises from strong adsorption and compact film formation, heteroatom-induced electronic modulation, suppression of anodic and cathodic reactions, and synergistic effects of particle size and structural configuration. Compared with conventional inhibitors, CDs offer higher efficiency, environmental compatibility, and multifunctionality. Despite significant progress, challenges remain regarding precise structural control, scalability of synthesis, and deeper mechanistic understanding. The effectiveness of CDs inhibitors is highly dependent on factors such as pH, temperature, inhibitor concentration, and exposure time, which should be tailored for specific applications to maximize performance. Future research should focus on integrating sustainable synthesis with rational heteroatom engineering and advanced characterization to achieve long-term, cost-effective, and environmentally benign corrosion protection solutions. Compared to earlier reviews, this review discusses the emerging trends in the field of CDs as corrosion inhibitors. Corrosion ; Heteroatom ; Anode ; Cathodic protection ; Corrosion inhibitor ; Electrochemistry Carbon and Quantum Dots Applications ; Corrosion Behavior and Inhibition ; Layered Double Hydroxides Synthesis and Applications
Authors: Muhammad Owais | Salahud Din | Md. Alamin | Rajib Saha | Amna Waseem | Muhammad Wahab Amjad | Muhammad Asif | Dawood Ali | Dr Shaikha Alabdulmuhsen
Source: Haya The Saudi Journal of Life Sciences (article, 2025-09-23)
Field: Chemistry — Organic Chemistry

Engineered Hybrid Nanoparticles for Green Catalysis, Environmental Remediation, Biosensing, and Targeted Drug Delivery: A Mechanism-Driven Approach Engineered hybrid nanoparticles (EHNPs) are emerging as versatile platforms bridging the gap between fundamental nanoscience and practical applications. Unlike single-component nanostructures, EHNPs combine organic, inorganic, and bio-inspired elements to achieve synergistic functionalities. Beyond conventional fabrication, synthetic strategies enable the controlled assembly of hybrid architectures, tailoring size, morphology, and surface chemistry to optimize multifunctional performance. This study explores their mechanism-driven design and applications in four critical domains: green catalysis, environmental remediation, Biosensing, and targeted drug delivery. In catalysis, the integration of metal–oxide and carbon-based synthetic frameworks accelerate electron transfer and enhances reaction selectivity, thereby reducing energy consumption and eliminating toxic by-products. For environmental remediation, EHNPs demonstrate strong adsorption, photocatalytic degradation of persistent pollutants, and reusability under mild conditions. In Biosensing, synthetic hybrid surfaces functionalized with biomolecules enable ultra-sensitive detection of analytes through enhanced optical and electrochemical signals. In drug delivery, tailored synthetic surface modifications and core–shell architectures provide improved biocompatibility, controlled release, and site-specific targeting. A comparative analysis highlights how size, shape, and interfacial interactions dictate their stability and efficiency across these diverse applications. The novelty of this work lies in correlating nanoparticle architecture with performance mechanisms, offering a framework to rationally engineer next-generation engineered synthetic hybrid nanomaterials. Overall, EHNPs present a sustainable and adaptive route for addressing global challenges in energy, environment, and healthcare. This mechanism-driven approach paves the way for translating laboratory concepts into scalable technologies with real-world impact. Reusability ; Scalability ; Synthetic biology ; Nanoparticle ; Hybrid system ; Efficient energy use Nanomaterials for catalytic reactions ; Advanced Nanomaterials in Catalysis
Authors: Ibrahim Moubarak Nchouwat Ndumgouo | Mohammad Zahir Uddin Chowdhury | Silvana Andreescu | Stephanie Schuckers
Source: Preprints.org (review, 2025-09-22)
Field: Chemistry — Electrochemistry

Integrating AI with Biosensors and Voltammetry for Neurotransmitter Detection and Quantification: A Systematic Review The accurate and timely diagnosis of neurodegenerative disorders such as Parkinson’s disease, Alzheimer’s disease and major depressive disorder, critically depends on the real-time monitoring and precise interpretation of authentic neurotransmitter (NT) signal dynamics in complex biological fluids (CBFs) of the body, including cerebrospinal fluids. NT dynamic patterns are determined by both the types and concentrations of NTs at any given time in CBFs. However, current biosensors face significant limitations in sensitivity and selectivity, thereby hindering reliable estimation (detection and quantification) of NTs. To overcome these limitations, nanomaterials and bioenzymes have been employed to modify biosensor interfaces, often through immobilization on biopolymer-functionalized surfaces. Despite these advancements, challenges such as signal convolution and interferences from complex NT interactions, electrode fouling, and inter-NT crosstalk remain unresolved. Recent developments in Artificial Intelligence (AI), particularly in machine learning (ML), pattern recognition (PR) and deep learning (DL), have demonstrated substantial promise in deconvoluting multiplexed NT signals to reveal accurate NT detection and quantification. This review synthesizes findings from 33 peer-reviewed studies, providing a comprehensive overview of the application of AI-based approaches for automated NT estimation. It first surveys the most frequently investigated NTs, associated estimation modalities and data acquisition techniques. Subsequently, it evaluates a range of AI methodologies employed for NT estimation. The review concludes by discussing the prevailing challenges in NT estimation and highlights prospective applications of AI-enhanced NT monitoring, including Closed-Loop Deep Brain Stimulation (CLDBS), which holds promises for advancing therapeutic treatments for neurodegenerative conditions. Biosensor ; Modalities ; Brain stimulation ; Crosstalk ; SIGNAL (programming language) ; Deep learning ; Neurotransmitter Electrochemical Analysis and Applications
Authors: Azizah Alamro | Thanih Balbaied
Source: Kinases and Phosphatases (article, 2025-10-30)
Field: Chemistry — Inorganic Chemistry

Metal–Organic Frameworks for Enzyme Modulation in Protein Kinase and Phosphatase Regulation—Mechanisms and Biomedical Applications Metal–organic frameworks (MOFs) have been increasingly recognized as promising platforms for enzyme modulation, owing to their tunable porosity, high surface area, and versatile chemical functionality. In this review, the potential of MOFs for the inhibition and modulation of protein kinases and phosphatases—key regulators of cellular signaling and disease progression—is examined. The structural fundamentals of MOFs are outlined, followed by a discussion of common synthesis strategies, including solvothermal, microwave-assisted, sonochemical, and mechanochemical methods. Emphasis is placed on how synthesis conditions influence critical features such as particle size, crystallinity, surface chemistry, and functional group accessibility, all of which impact biological performance. Four primary mechanisms of MOF–enzyme interaction are discussed: surface adsorption, active site coordination, catalytic mimicry, and allosteric modulation. Each mechanism is linked to distinct physicochemical parameters, including pore size, surface charge, and metal node identity. Special focus is given to biologically relevant metal centers such as Zr4+, Ce4+, Cu2+, Fe3+, and Ti4+, which have been shown to contribute to both MOF stability and enzymatic inhibition through Lewis acid or redox-mediated mechanisms. Recent in vitro studies are reviewed, in which MOFs demonstrated selective inhibition of disease-relevant enzymes with minimal cytotoxicity. Despite these advancements, several limitations have been identified, including scalability challenges, limited physiological stability, and potential off-target effects. Strategies such as post-synthetic modification, green synthesis, and biomimetic surface functionalization are being explored to overcome these barriers. Through an integration of materials science, coordination chemistry, and molecular biology, this review aims to provide a comprehensive perspective on the rational design of MOFs for targeted enzyme inhibition in therapeutic contexts. Allosteric regulation ; Enzyme ; Phosphatase ; Kinase ; Rational design ; Mechanism (biology) ; Protein kinase A Metal-Organic Frameworks: Synthesis and Applications ; Advanced Nanomaterials in Catalysis ; Multicomponent Synthesis of Heterocycles
Authors: Xinchen Xu | Gaoning Shi | Yuyang Chen | Jingya Wang | Leyun Wang | Hong Zhu | Xiaoqin Zeng
Source: Research Square (preprint, 2025-10-30)
Field: Materials Science — Biomaterials

Revisiting the Hydrogen Evolution Kinetics of Magnesium Corrosion: a First-principles Study with Constant Potential Method Corrosion ; Kinetics ; Tafel equation ; Polarization (electrochemistry) ; Hydrogen ; Adsorption ; Metal Magnesium Alloys: Properties and Applications ; Hydrogen Storage and Materials ; Corrosion Behavior and Inhibition
Authors: M.J. Aljumaili | Abbas H. Faris | Omar A. Alwash | Mohamad Nasir Mohamad Ibrahim
Source: Anbar journal for engineering sciences/Mağallaẗ al-anbār li-l-ʻulūm al-handasiyyaẗ (article, 2025-12-13)
Field: Materials Science — Materials Chemistry

Advances in Composite Materials: Preparation, Characterization, and Applications in Various Industries, A Review This review presents a comprehensive study on composites with particular interest in various synthesis techniques, advanced characterizations, and wide industrial applications. The survey includes such time categories of composites as polymer matrix (PMCs), metal matrix (MMCs), ceramic matrix carbides (CMCs), and nanocomposites, and describes the mechanical behavior and the advantages of their structural performance. The paper focuses on the development of fundamental manufacturing processes such as hand lay-up, filament winding, and additive manufacturing. It also describes different techniques of characterization of the thermal, mechanical, and electrical properties of them. Interest in the use of nanocomposites is also increasing due to their high surface area and excellent performance, which could be suitable for high-temperature and light engineering applications. Moreover, this review highlights the industrial relevance of composites, which have been extensively utilized in aerospace, automobile, marine, and civil infrastructure applications. It also solves key recyclability and environmental sustainability challenges. Finally, the paper highlights transient progress in composites as a fundamental material of new generation high-performance technologies and identifies some research gaps, but possible ways for progress towards sustainable innovation. Characterization (materials science) ; Sustainability ; Ceramic matrix composite ; Relevance (law) ; Ceramic ; Metal matrix composite ; Composite number Material Selection and Properties ; Dielectric materials and actuators ; Advanced ceramic materials synthesis