jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Xiaohu Ge | Yundao Jing | Nihong An | Yueqiang Cao | Jing Zhang | Gang Qian | Xinggui Zhou | De Chen | Weikang Yuan | Xuezhi Duan
Source: Angewandte Chemie International Edition (review, 2025-10-11)
Field: Materials Science — Materials Chemistry

Layered Double Hydroxides as Building Blocks for Precise Catalysis Layered double hydroxides (LDHs) are structurally tunable, 2D materials that serve as versatile precursors for the design of heterogeneous catalysts. Their unique lamellar architecture, topotactic transformation ability, and compositional flexibility enable the fabrication of monometallic, bimetallic, and intermetallic catalysts with atomically controlled active sites. These LDH-derived catalysts feature high metal dispersion, strong metal-support interactions, and defect-rich interfaces, which are key attributes for precise catalysis. Recent advances have demonstrated their broad applicability in electrocatalysis (e.g., oxygen evolution and CO<sub>2</sub> reduction), selective hydrogenation, direct and oxidative dehydrogenation, and syngas conversion. Across these reactions, LDH-derived systems offer enhanced activity, selectivity, and stability by tailoring active site geometry, electronic structure, and interfacial properties. This review summarizes the advances in synthesis, structure-function relationships, and catalytic applications of LDH-based catalysts. Despite significant progress, challenges remain in understanding transformation mechanisms, capturing dynamic active sites under working conditions, and establishing predictive design rules. Future efforts combining operando spectroscopy, theory, and data-driven approaches are expected to unlock the full potential of LDH-derived materials for precise catalysis in sustainable energy and chemical transformations. Catalysis ; Layered double hydroxides ; Electrocatalyst ; Flexibility (engineering) ; Lamellar structure ; Oxygen evolution ; Fabrication ; Intermetallic Layered Double Hydroxides Synthesis and Applications ; Catalytic Processes in Materials Science ; Catalysis and Oxidation Reactions
Authors: Xin Ding | Nasi Ai | Yiming Zhao | Lingyun Li | Ge Chen | Donghui Xu | Xiaomin Xu | Qin Lin | Jing Chen | Guangyang Liu
Source: Food Chemistry (article, 2025-11-20)
Field: Chemistry — Inorganic Chemistry

Intelligent food preservation systems based on MOFs-AI integration: technological breakthroughs and developmental trends Intelligent decision support system ; Work (physics) ; Biomimetic materials ; Emerging technologies Metal-Organic Frameworks: Synthesis and Applications ; Nanocomposite Films for Food Packaging ; Advanced Nanomaterials in Catalysis
Authors: Maziyar Sabet
Source: Journal of Materials Science (article, 2025-04-01)
Field: Materials Science — Materials Chemistry

Advanced graphene-polymer composites: synthesis, properties, and applications in electronics and optoelectronics Materials science ; Graphene ; Electronics ; Solid mechanics ; Composite material ; Polymer ; Nanotechnology ; Electrical engineering Graphene research and applications ; Carbon Nanotubes in Composites ; Graphene and Nanomaterials Applications
Authors: V.C. Deivayanai | S. Karishma | Pavithra Swaminaathan | A. Saravanan | A.S. Vickram | K. Anbarasu | P.R. Yaashikaa
Source: TrAC Trends in Analytical Chemistry (article, 2025-06-24)
Field: Chemistry — Analytical Chemistry

Nanohybrid approaches for precise analytical screening of trace contaminants in complex environmental and biological matrices TRACE (psycholinguistics) ; Contamination ; Complex matrix ; Environmental chemistry ; Chemistry ; Biochemical engineering ; Environmental science ; Chromatography ; Biology ; Engineering ; Ecology Analytical chemistry methods development ; Electrochemical Analysis and Applications ; Nanoparticles: synthesis and applications
Authors: Qiuyun Lu | Boubakar Sanogo | Tanay Kumar | Ben Bin Xu | Xuehua Zhang
Source: Advanced Materials (review, 2025-07-30)
Field: Materials Science — Materials Chemistry

Recent Advances in Reactive Microdroplets for Clean Water and Energy Microdroplets have emerged as powerful and sustainable platforms for the design and synthesis of functional materials under mild and environmentally friendly conditions. Their unique physicochemical environments - characterized by high surface-to-volume ratios and confined internal space - enable precise control over mass and heat transfer, interfacial energy conversion, and chemical reactions. These features have been harnessed in two main ways: first, by employing microdroplets as microreactors for the fabrication of advanced materials such as polymeric microlenses, artificial compound eyes, metal oxide nanoparticles, and metal-organic framework microstructures; and second, by using microdroplets as reactive entities to accelerate interfacial reactions relevant to hydrogen and biodiesel production, as well as nitrogen and carbon dioxide fixation. Together, these strategies have driven significant advances in clean energy generation, environmental monitoring, and water treatment. This review provides a critical overview of recent progress in microdroplet-assisted synthesis of functional materials and their integration in energy and environmental technologies. An emerging direction in the integration of microdroplet-based systems into adaptive sensing and human-machine interfaces driven by artificial intelligence is also highlighted. Materials science ; Nanotechnology ; Environmentally friendly ; Microreactor ; Hydrogen production ; Process engineering ; Hydrogen ; Catalysis ; Organic chemistry ; Chemistry Catalytic Processes in Materials Science ; Surface Modification and Superhydrophobicity ; Gas Sensing Nanomaterials and Sensors
Authors: Sofia Baúti | João Victor T. Feyh | Fábio Coutinho Antunes | Thiago da Costa Dias | Gustavo Doubek | Josué M. Gonçalves | Bruno B.N.S. Brandão | Hudson Zanin
Source: Journal of Energy Chemistry (article, 2025-08-13)
Field: Materials Science — Materials Chemistry

Medium- and high-entropy catalysts for hydrogen production from strategic renewable fuel reforming: A review Hydrogen production ; Catalysis ; Renewable energy ; Hydrogen ; Hydrogen economy ; Production (economics) ; Chemistry ; Environmental science ; Chemical engineering ; Economics ; Engineering ; Organic chemistry ; Microeconomics Catalytic Processes in Materials Science ; Catalysis and Oxidation Reactions ; Catalysts for Methane Reforming
Authors: Qinqin Huang | Yanyu Chen | Shile Wang | Kan Liu | Xingzhong Zhao | Xiaobo Mao | Ben Zhong Tang | Lang Rao
Source: Aggregate (article, 2025-09-11)
Field: Materials Science — Materials Chemistry

Intelligent Theranostic Systems Enabled by Aggregation‐Induced Emission in Precision Medicine ABSTRACT Aggregation‐induced emission (AIE) has emerged as a powerful tool for the design of next‐generation intelligent theranostic systems. AIE luminogens (AIEgens) exhibit exceptional sensitivity and signal fidelity in complex biological environments through the restriction of intramolecular motion (RIM), which suppresses nonradiative decay and facilitates highly efficient fluorescence emission in the aggregated state. This review critically evaluates the recent integration of AIE materials into multifunctional theranostic systems, including near‐infrared II (NIR‐II) emissive nanoprobes for deep‐tissue imaging, AIE‐powered ELISA assays with femtomolar sensitivity, CRISPR‐compatible detection platforms for real‐time visualization of gene editing, and the emerging application of artificial intelligence (AI) for improved diagnostic accuracy and material design. Despite these breakthroughs, translational barriers—such as limited structural diversity, batch‐to‐batch variability, and the absence of comprehensive regulatory frameworks—still hinder clinical adoption. Addressing these obstacles through AI‐driven molecular engineering, scalable synthetic methodologies, and standardized evaluation protocols will be pivotal for advancing AIE materials toward clinical implementation. This review not only consolidates recent progress but also provides a forward‐looking perspective on the strategic directions and interdisciplinary collaborations necessary to translate AIE innovations from bench to bedside. Precision medicine ; Bench to bedside ; Scalability ; Aggregation-induced emission ; Clinical Practice Luminescence and Fluorescent Materials ; Nanoplatforms for cancer theranostics ; Photoreceptor and optogenetics research
Authors: Wenhao Yuan | Zaili Xiong | Meirong Zeng | Zhongyue Zhou | Zhandong Wang | Jiuzhong Yang | Long Zhao | Yang Pan | Fei Qi
Source: The Journal of Physical Chemistry A (review, 2025-01-04)
Field: Materials Science — Materials Chemistry

Advances and Challenges in Speciation Measurement and Microkinetic Modeling for Gas–Solid Heterogeneous Catalysis Microkinetic modeling of heterogeneous catalysis serves as an efficient tool bridging atom-scale first-principles calculations and macroscale industrial reactor simulations. Fundamental understanding of the microkinetic mechanism relies on a combination of experimental and theoretical studies. This Perspective presents an overview of the latest progress of experimental and microkinetic modeling approaches applied to gas-solid catalytic kinetics. Then, opportunities and challenges are presented based on recent research progress in gas-solid catalysis and combustion chemistry. For experimental approaches, the importance of ideal catalytic reactors, structured catalysts, and precise elementary rate measurements is emphasized. Additionally, integrating spatiotemporally resolved <i>operando</i> gas-phase diagnostics with surface-adsorbed species characterization methods offers new opportunities for gaining deeper insights into gas-surface reactions. In microkinetic modeling, a hybrid rate parameter evaluation approach that combines first-principles calculations with semiempirical methods, followed by automated mechanism generation and data-driven optimization, opens new avenues for efficiently constructing surface mechanisms. Furthermore, extending microkinetic modeling beyond mean-field approximations allows simulations under realistic catalyst operating conditions. Finally, the critical role of gas-phase mechanisms and comprehensive microkinetic modeling analyses in advancing our fundamental understanding of gas-solid catalytic processes is highlighted. Catalysis ; Heterogeneous catalysis ; Combustion ; Biochemical engineering ; Nanotechnology ; Chemistry ; Materials science ; Physical chemistry ; Engineering Catalytic Processes in Materials Science ; Catalysts for Methane Reforming ; Catalysis and Oxidation Reactions
Authors: Haifeng Li | Haofeng Xie | Zhao Yizhi | Wenjing Zhang | Lue Huang | Yuan Fu Yi | Hao Chu | Xujun Mi
Source: Materials (article, 2025-01-27)
Field: Materials Science — Materials Chemistry

Microstructural Evolution and Mechanical Properties of Cu–Ag Alloy via Different Severe Plastic Deformation Processes The field of artificial intelligence and integrated circuits is experiencing rapid development, particularly in the area of highly integrated and miniaturized components, in which Cu-Ag alloys, as a typical lead frame material, play a crucial role. However, current research is primarily focused on low Ag content alloys, and there are few studies on the regulation of the microstructure and mechanical properties of high Ag content Cu-Ag alloys. This limitation hindered the development and utilization of the high Ag content Cu-Ag alloys. In this study, the microstructure and mechanical properties of Cu-28Ag (wt. %) alloy after room temperature and cryogenic rolling were investigated. It was demonstrated that the cryogenic rolling yielded better surface quality, an enhanced dendrite refinement effect, and a more distinct layer structure compared to room temperature rolling. The conductivity of the alloy decreased after cryogenic rolling due to increased electron scattering within the Cu matrix. The tensile strength improved, but the elongation decreased. Specifically, at a deformation amount of 95%, the alloy exhibited an ultimate tensile strength, yield strength, and elongation of 640 MPa, 631 MPa, and 1.9%, respectively. This strengthening was mainly attributed to the refinement of grains, the presence of dislocations, and precipitation. Furthermore, the samples subjected to liquid nitrogen rolling at a deformation amount of 95% exhibited improved homogeneous deformation capacity, which was attributed to grain size refinement, uniform distribution of high-density dislocations, deformation structure, and heterogeneity-induced deformation enhancement. Materials science ; Microstructure ; Ultimate tensile strength ; Deformation (meteorology) ; Alloy ; Precipitation ; Elongation ; Composite material ; Metallurgy ; Dendrite (mathematics) ; Severe plastic deformation Microstructure and mechanical properties ; Aluminum Alloys Composites Properties ; Aluminum Alloy Microstructure Properties
Authors: Hanyuan Ma | Lingxiao Yu | Ruitao Lv
Source: Materials Today (article, 2025-05-12)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Defect-induced enhanced Raman scattering of two-dimensional materials Raman scattering ; Raman spectroscopy ; Materials science ; Scattering ; Nanotechnology ; Optics ; Physics Gold and Silver Nanoparticles Synthesis and Applications ; 2D Materials and Applications ; Graphene research and applications
Authors: Yiwen Guo | Guangcun Shan | Ruzhan Qin | C.H. Shek | Hongbin Zhao | Haibin Gao | Hailing Tu
Source: Applied Physics Reviews (article, 2025-09-01)
Field: Materials Science — Materials Chemistry

Two-dimensional carbide and nitride (MXene) materials for healthcare monitoring and biosensing applications The rapid evolution of intelligent manufacturing and personalized healthcare has driven demand for high-performance, adaptable sensors. MXenes, a family of two-dimensional transition metal carbides/nitrides, have emerged as transformative materials for next-generation sensing due to their exceptional conductivity, tunable surface chemistry, and versatile nanostructuring capabilities. To advance MXene-based sensing technologies and to facilitate their large-scale implementation at the microsystem or Chip level, this review delves into the latest advancements in MXene-based sensors, emphasizing synthesis strategies that enhance performance—such as HF-free etching and delamination techniques—and their direct impact on sensitivity, selectivity, and stability. Subsequently, MXene-based sensors are categorized into films, hydrogels, aerogels, quantum dots, and fibers from a materials science perspective, highlighting their unique advantages in wearable healthcare monitoring, environmental sensing, and smart industrial systems. Looking ahead, the primary challenges and future prospects for MXene sensors, including artificial intelligence-driven multifunctional platforms and scalable roll-to-roll fabrication, are provided, along with an assessment of their potential to accelerate commercialization in the near future. Microsystem ; Commercialization ; Wearable computer ; Scalability ; Transformative learning ; Etching (microfabrication) ; Quantum dot ; Flexibility (engineering) MXene and MAX Phase Materials ; 2D Materials and Applications ; Advanced Memory and Neural Computing
Authors: Mohammad Jellur Rahman
Source: Next Materials (article, 2025-10-01)
Field: Materials Science — Materials Chemistry

Tin oxide thin films for the future: A paradigm shift in property engineering for advanced functional devices Tin dioxide (SnO2) is a versatile, wide-bandgap (≈3.6 eV) n-type semiconductor whose thin-film form has been deployed in transparent electrodes, environmental sensors, energy storage devices, and photocatalysis. Its functional performance in each application hinges on precise control of properties – carrier concentration, crystallinity, defect density, morphology, and surface chemistry – achieved via tailored deposition and doping strategies. This study adopts an application-driven perspective, systematically examining how film engineering (e.g., Deposition Techniques, temperature, atmosphere, film thickness, and substrate type) and compositional tuning (F, Sb, Nb, transition-metal and rare-earth doping, oxygen stoichiometry) modulate key properties. Progress is highlighted in achieving high transparency and conductivity for TCO films (Sb- and F-doped SnO2), enhanced surface reactivity and selectivity for gas sensors, increased charge capacity and stability for battery electrodes, and improved light absorption and charge transport for photocatalytic/photoelectrochemical devices. The review identifies enduring challenges such as the conductivity–transparency trade-off, defect-induced losses, and scale-up reproducibility. Future directions are outlined, including unexplored research, novel co-doping schemes, heterostructure and interface engineering, and data-driven optimization, to guide the targeted design of SnO2films. This integrative, application-focused review provides a roadmap for the ''property-by-design'' of SnO2 thin films in next-generation materials technologies. Thin film ; Heterojunction ; Substrate (aquarium) ; Doping ; Surface engineering ; Tin oxide ; Tin dioxide ; Semiconductor ; Oxide ZnO doping and properties ; Gas Sensing Nanomaterials and Sensors ; Transition Metal Oxide Nanomaterials
Authors: Micke Kuwahara | Yoshiki Hasukawa | Fernando Garcia‐Escobar | Satoshi Maeda | Lauren Takahashi | Keisuke Takahashi
Source: ACS Applied Engineering Materials (article, 2025-04-08)
Field: Materials Science — Materials Chemistry

Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science The automation of materials design has emerged as a key focus in the field of materials science. The advent of materials informatics marked an important step toward this goal, utilizing data-driven approaches to accelerate the discovery and optimization of materials. However, the adoption of robotic systems for automated synthesis has been relatively gradual, influenced by the technical challenges and complexity of implementation. Here, the development of FLUID, an open-source, 3D-printed robotic platform for material synthesis, is presented. FLUID provides a comprehensive blueprint for both hardware and software, enabling accessible and customizable automation for a broad range of researchers. The system’s performance is experimentally validated through the materials synthesis, demonstrating its capability and flexibility. This approach aims to democratize automation in material synthesis, providing researchers with a practical, cost-effective solution to accelerate innovation in materials science. Blueprint ; Automation ; Software ; Robot ; Computer science ; Software engineering ; Open source ; 3d printed ; Engineering ; Embedded system ; Mechanical engineering ; Manufacturing engineering ; Operating system ; Artificial intelligence Machine Learning in Materials Science ; Additive Manufacturing and 3D Printing Technologies ; Titanium Alloys Microstructure and Properties
Authors: Shiheng Liu | Yuebing Li | Jie Zhu | Jingyi An | Ruida Zhao | Youlong Xu
Source: Journal of Power Sources (article, 2025-02-11)
Field: Materials Science — Polymers and Plastics

An ultra-low loss and excellent high-frequency performance chip aluminum solid electrolytic capacitor with electropolymerization PEDOT cathode Electrolytic capacitor ; Materials science ; Capacitor ; Cathode ; Optoelectronics ; Chip ; Electrical engineering ; Voltage ; Engineering Conducting polymers and applications ; Advanced Sensor and Energy Harvesting Materials ; Synthesis and properties of polymers
Authors: Upasana Upasana | Sankha Bhattacharya
Source: ACS Applied Bio Materials (review, 2025-07-11)
Field: Materials Science — Biomaterials

Trimethylated Chitosan Nanoparticles for Targeted Treatment of Metastatic Colon Cancer: Mechanisms, Gene Regulation, and Future Positions This review explores the innovative use of trimethylated chitosan (TMC) nanoparticles in treating metastatic colon cancer (mCC). Conventional chemotherapy often faces challenges related to efficacy and safety, but TMC nanoparticles offer a promising alternative due to their biocompatibility, enhanced drug delivery, and potential to influence gene expression. The article examines how TMC nanoparticles improve the oral bioavailability of chemotherapeutics like 5-Fluorouracil and Irinotecan while also targeting cancer stem cells and the tumor microenvironment. Key findings suggest that TMC nanoparticles can effectively encapsulate genetic material, improve gene therapy outcomes while minimizing toxicity. Their ability to overcome biological barriers ensures the precise delivery of therapeutic agents to tumor sites, enhancing treatment effectiveness. The review also highlights the growing challenge of drug resistance and the need for personalized treatment approaches, emphasizing how TMC nanoparticles could play a crucial role in combination therapies. Future research directions include refining the design and synthesis of TMC nanoparticles, integrating artificial intelligence for personalized medicine, and identifying molecular targets. Overall, this review highlights the transformative potential of TMC nanoparticles in reshaping mCC treatment, offering more effective and targeted therapies that could significantly improve patient outcomes. Chitosan ; Colorectal cancer ; Cancer research ; Gene ; Cancer ; Medicine ; Nanotechnology ; Chemistry ; Internal medicine ; Materials science ; Biochemistry Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; Peptidase Inhibition and Analysis
Authors: Soochan Lee | Hyein Jeong | Sungyeop Jung | Yeong-Jin Kim | Eunchan Cho | Joohan Nam | D. ChangMo Yang | Dong Yun Shin | Jung-Hoon Lee | Hyunchul Oh | Wonyoung Choe
Source: JACS Au (article, 2025-03-07)
Field: Chemistry — Inorganic Chemistry

Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks Zeolitic imidazolate frameworks (ZIFs), metal-organic analogues of zeolites, hold great potential for carbon-neutral applications due to their exceptional stability and porosity. However, ZIF discovery has been hindered by the limited topologies resulting from a mismatch between numerous predicted and few synthesized zeolitic networks. To address this, we propose a data-driven search algorithm using structural descriptors of known materials as a screening tool. From over 4 million zeolite structures, we identified potential ZIF candidates based on O-T-O angle differences, vertex symbols, and T-O-T angles. Energy calculations facilitated the ranking of ZIFs by their synthesizability, leading to the successful synthesis of three ZIFs with two novel topologies: UZIF-31 (<i>uft</i>1) and UZIF-32, -33 (<i>uft</i>2). Notably, UZIF-33 exhibited remarkable CO<sub>2</sub> selective adsorption. This study highlights the synergistic potential of combining structural predictions with chemical intuition to advance material discovery. Zeolitic imidazolate framework ; Imidazolate ; Computer science ; Parallel computing ; Algorithm ; Chemistry ; Metal-organic framework ; Organic chemistry Zeolite Catalysis and Synthesis ; Machine Learning in Materials Science ; Metal-Organic Frameworks: Synthesis and Applications
Authors: K. Kanmani Raja | Ayad M. Ali | P Ramanakeerti | Mruganka K. Panigrahi | Madhav P. Chavhan | Suresh Chaluvadi | Sandhyarani Rebbavarapu | Tapas Das
Source: Chemical Engineering Journal (article, 2025-11-14)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Unlocking energy storage: Innovations in activated carbon for next-generation supercapacitors Supercapacitor ; Activated carbon ; Energy storage ; Biomass (ecology) ; Bagasse ; Heteroatom ; Carbon fibers ; Environmentally friendly Supercapacitor Materials and Fabrication ; Microbial Fuel Cells and Bioremediation ; Adsorption and biosorption for pollutant removal