jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Yang Chen | Zhiming Guo | Douglas Fernandes Barbin | Zhiqiang Dai | Nicholas J. Watson | Megan Povey | Xiaobo Zou
Source: Journal of Agricultural and Food Chemistry (review, 2025-04-16)
Field: Chemistry — Analytical Chemistry

Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Traditional chemical analysis and physical measurement techniques are reliable, they are also time-consuming, costly, and susceptible to environmental and sample changes. Hyperspectral imaging technology combined with deep learning methods can effectively overcome these problems. Compared with human evaluation, automated inspection improves inspection efficiency, reduces subjective error, and promotes the intelligent and precise fruit and vegetable quality inspection. This paper reviews reports on the application of hyperspectral imaging technology combined to deep learning methods in various aspects of fruits and vegetables quality assessment. In addition, the latest applications of these technologies in the fields of fruit and vegetable safety, internal quality, and external quality inspection are reviewed, and the challenges and future development directions of hyperspectral imaging technology combined with deep learning in this field are prospected. Hyperspectral imaging combined with deep learning has shown significant advantages in fruit and vegetable quality inspection, especially in improving inspection accuracy and efficiency. Future research should focus on reducing costs, optimizing equipment, personalizing feature extraction, and model generalizability. In addition, the development of lightweight models and the balance of accuracy, the enhancement of the database and the importance of quantitative research should also be brought to attention. These efforts will promote the wide application of hyperspectral imaging technology in fruit and vegetable inspection, improve its practicability in the actual production environment, and bring important progress for food safety and quality management. Hyperspectral imaging ; Quality (philosophy) ; Artificial intelligence ; Computer science ; Environmental science Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Spectroscopy Techniques in Biomedical and Chemical Research
Authors: Sunyingyue Geng | Hangfei Li | Ziyu Lv | Yongbiao Zhai | Bobo Tian | Ying Luo | Ye Zhou | Su‐Ting Han
Source: Advanced Materials (review, 2025-04-16)
Field: Materials Science — Materials Chemistry

Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices Upconversion nanoparticles (UCNPs), incorporating lanthanide (Ln) dopants, can convert low-energy near-infrared photons into higher-energy visible or ultraviolet light through nonlinear energy transfer processes. This distinctive feature has attracted considerable attention in both fundamental research and advanced optoelectronics. Challenges such as low energy-conversion efficiency and nonradiative losses limit the performance of UCNP-based optoelectronic devices. Recent advancements including optimized core-shell structures, tailed Ln-doping concentration, and surface modifications show significant promise for improving the efficiency and stability. In addition, combining UCNPs with functional materials can broaden their applications and improve device performance, paving the way for the innovation of next-generation optoelectronics. This paper first categorizes and elaborates on various upconversion mechanisms in UCNPs, focusing on strategies to boost energy transfer efficiency and prolong luminescence. Subsequently, an in-depth discussion of the various materials that can enhance the efficiency of UCNPs and expand their functionality is provided. Furthermore, a wide range of UCNP-based optoelectronic devices is explored, and multiple emerging applications in UCNP-based neuromorphic computing are highlighted. Finally, the existing challenges and potential solutions involved in developing practical UCNPs optoelectronic devices are considered, as well as an outlook on the future of UCNPs in advanced technologies is provided. Materials science ; Photon upconversion ; Nanotechnology ; Optoelectronics ; Efficient energy use ; Doping ; Computer science ; Electrical engineering Luminescence Properties of Advanced Materials ; Perovskite Materials and Applications ; Luminescence and Fluorescent Materials
Authors: Zahra Izadiyan | Misni Misran | Katayoon Kalantari | Thomas J. Webster | Pooneh Kia | Noor Ashyfiyah Basrowi | Elisa Rasouli | Kamyar Shameli
Source: International Journal of Nanomedicine (review, 2025-01-01)
Field: Materials Science — Biomaterials

Advancements in Liposomal Nanomedicines: Innovative Formulations, Therapeutic Applications, and Future Directions in Precision Medicine Liposomal nanomedicines have emerged as a pivotal approach for the treatment of various diseases, notably cancer and infectious diseases. This manuscript provides an in-depth review of recent advancements in liposomal formulations, highlighting their composition, targeted delivery strategies, and mechanisms of action. We explore the evolution of liposomal products currently in clinical trials, emphasizing their potential in addressing diverse medical challenges. The integration of immunotherapeutic agents within liposomes marks a paradigm shift, enabling the design of 'immuno-modulatory hubs' capable of orchestrating precise immune responses while facilitating theranostic applications. The recent COVID-19 pandemic has accelerated research in liposomal-based vaccines and antiviral therapies, underscoring the need for improved delivery mechanisms to overcome challenges like rapid clearance and organ toxicity. Furthermore, we discuss the potential of "smart" liposomes, which can respond to specific disease microenvironments, enhancing treatment efficacy and precision. The integration of artificial intelligence and machine learning in optimizing liposomal designs promises to revolutionize personalized medicine, paving the way for innovative strategies in disease detection and therapeutic interventions. This comprehensive review underscores the significance of ongoing research in liposomal technologies, with implications for future clinical applications and enhanced patient outcomes. Liposome ; Nanomedicine ; Nanotechnology ; Materials science ; Precision medicine ; Medical physics ; Medicine ; Nanoparticle Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; Nanoplatforms for cancer theranostics
Authors: Junsi Luo | Yiteng Cui | Laijun Xu | Junyi Zhang | Jianguo Chen | X. Li | Bin Zeng | Zhiyuan Deng | Longquan Shao
Source: Journal of Nanobiotechnology (review, 2025-05-22)
Field: Materials Science — Materials Chemistry

Layered double hydroxides for regenerative nanomedicine and tissue engineering: recent advances and future perspectives With the rapid development of nanotechnology, layered double hydroxides (LDHs) have attracted considerable attention in the biomedical field due to their highly tunable composition and structure, superior biocompatibility, multifunctional bioactivity, and exceptional drug delivery performance. However, a focused and comprehensive review addressing the role of LDHs specifically in tissue regeneration has been lacking. This review aims to fill that gap by providing a systematic and in-depth overview of recent advances in the application of LDHs across various regenerative domains, including bone repair, cartilage reconstruction, angiogenesis, wound healing, and nerve regeneration. Beyond presenting emerging applications, the review places particular emphasis on elucidating the underlying mechanisms through which LDHs exert their therapeutic effects. Although LDHs demonstrate considerable promise in regenerative medicine, their clinical translation remains in its infancy. To address this, we not only provided our insights into the personalized problems that arise in the application of various tissues, but also focused on discussing and prospecting the common challenges in the clinical translation of LDHs. These challenges include optimizing synthesis techniques, enhancing biosafety and stability, improving drug-loading efficiency, designing multifunctional composite materials, and establishing pathways that facilitate the transition from laboratory research to clinical practice. Regenerative medicine ; Nanomedicine ; Tissue engineering ; Nanotechnology ; Chemistry ; Biomedical engineering ; Engineering ; Materials science ; Biochemistry ; Nanoparticle Layered Double Hydroxides Synthesis and Applications ; Bone Tissue Engineering Materials ; biodegradable polymer synthesis and properties
Authors: Mingyue Yuan | Bangxin Li | Yiqian Du | Jiajun Liu | Xiaodi Zhou | Jiacheng Cui | Hualiang Lv | Renchao Che
Source: Advanced Materials (article, 2025-01-07)
Field: Materials Science — Materials Chemistry

Programmable Electromagnetic Wave Absorption via Tailored Metal Single Atom‐Support Interactions Metal single atoms (SA)-support interactions inherently exhibit significant electrochemical activity, demonstrating potential in energy catalysis. However, leveraging these interactions to modulate electronic properties and extend application fields is a formidable challenge, demanding in-depth understanding and quantitative control of atomic-scale interactions. Herein, in situ, off-axis electron holography technique is utilized to directly visualize the interactions between SAs and the graphene surface. These interactions facilitate the formation of dispersed nanoscale regions with high charge density and are highly sensitive to external electromagnetic (EM) fields, resulting in controllable dynamic relaxation processes for charge accumulation and restoration. This leads to customized dielectric relaxation, which is difficult to achieve with current band engineering methods. Moreover, these electronic behaviors are insensitive to elevated temperatures, having characteristics distinct from those of typical metallic or semiconducting materials. Based on these results, programmable EM wave absorption properties are achieved by developing a library of SA-graphene materials and precisely controlling SA-support interactions to tailor their responses to EM waves in terms of frequency and intensity. This advancement addresses the customized anti-EM interference requirements of electronic components, greatly enhancing the development of integrated circuits and micro-nano chips. Future efforts will concentrate on manipulating atomic interactions in SA-support, potentially revolutionizing nanoelectronics and optoelectronics. Nanoelectronics ; Materials science ; Graphene ; Absorption (acoustics) ; Nanotechnology ; Relaxation (psychology) ; Nanoscopic scale ; Charge carrier ; Atom (system on chip) ; Optoelectronics ; Computer science Graphene research and applications ; Electromagnetic wave absorption materials ; Metamaterials and Metasurfaces Applications
Authors: Yosri A. Fahim | Ibrahim W. Hasani | Waleed Mahmoud Ragab
Source: European journal of medical research (review, 2025-06-02)
Field: Materials Science — Biomaterials

Promising biomedical applications using superparamagnetic nanoparticles Magnetic nanoparticles (MNPs) have emerged as powerful tools in biomedicine due to their distinct physicochemical characteristics, including a high surface-area-to-volume ratio, adjustable size, magnetic sensitivity, and compatibility with biological systems. These properties enable precise control through external magnetic fields, making MNPs highly effective in targeted therapeutic and diagnostic applications. Although not inherently intelligent, they can exhibit programmable and responsive behavior under external influence, enhancing their utility in drug delivery and hyperthermia-based treatments. In the medical field, MNPs have been extensively explored for their role in magnetic resonance imaging (MRI) enhancement, selective drug transport, hyperthermia cancer therapy, and biomolecular separation. Within oncology, they facilitate the direct delivery of therapeutic compounds to tumors, reducing systemic side effects and increasing treatment specificity. Additionally, their capacity to produce localized heat when exposed to alternating magnetic fields makes them instrumental in hyperthermia therapy, where malignant cells are selectively eradicated. A key advantage of MNPs is their adaptable surface chemistry, which allows for functionalization with biocompatible polymers, ligands, and other stabilizing agents. These modifications enhance their stability, minimize immune responses, and optimize their performance in physiological environments. Functionalized MNPs have contributed significantly to improving MRI contrast, refining drug delivery mechanisms, and increasing the effectiveness of hyperthermia treatments. This review examines recent breakthroughs in MNP-based medical technologies, with an emphasis on tumor targeting, drug delivery across the blood-brain barrier, and hyperthermia applications. Drug delivery ; Nanotechnology ; Magnetic hyperthermia ; Magnetic nanoparticles ; Materials science ; Targeted drug delivery ; Biocompatible material ; Cancer therapy ; Nanoparticle ; Surface modification ; Biomedical engineering ; Computer science ; Chemistry ; Medicine ; Cancer Nanoparticle-Based Drug Delivery ; Characterization and Applications of Magnetic Nanoparticles ; Gold and Silver Nanoparticles Synthesis and Applications
Authors: Muhammad Ali Bhatti | Shusheel Kumar | Aneela Tahira | Adeel Liaquat Bhatti | Zaheer Ahmed Ujjan | Mansab Ali Jakhrani | Umair Aftab | Riyadh H. Alshammari | Ayman Nafady | Elmuez A. Dawi | Mélanie Emo | Brigitte Vigolo | Antonia Infantes‐Molina | Zafar Hussain Ibupoto
Source: Advanced Composites and Hybrid Materials (article, 2025-01-24)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Advanced NiCo2O4 /ZnO-CuO/NF composite for high-performance asymmetric supercapacitor and efficient oxygen evolution reaction applications Abstract It is imperative that composite systems with high performance, low-cost, enhanced simplicity, and scalability be developed in order to convert and store energy. This, however, has been a challenging endeavor throughout the years. In this study, we present a cost-effective, efficient, scale-up-friendly, and environmentally friendly method of producing in situ sandwich layers of ZnO-CuO composite between NiCo 2 O 4 nanostructures and nickel foam using lemon peel extract (LPE) during hydrothermal processes. NiCo 2 O 4 /ZnO-CuO/nickel foam was analyzed using powder X-ray diffraction (XRD), high-resolution transmission electron microscopy (HRTEM), and X-ray photoelectron spectroscopy (XPS). According to XRD and HRTEM studies of NiCo 2 O 4 /ZnO-CuO/nickel foam, NiCo 2 O 4 , ZnO, and CuO exhibit cubic, hexagonal, and monoclinic phases, respectively. With NiCo 2 O 4 /ZnO-CuO/nickel foam as the active anode electrode, an asymmetric supercapacitor has been developed in an alkaline solution of 3 M KOH. At a low current density of 2 Ag −1 , the asymmetric supercapacitor exhibited a high specific capacitance of 3614.8 F g −1 , a power density of 1549.2 W kg −1 , and an energy density of 75.3 Wh kg −1 . Upon repeatable 40,000 galvanic charge–discharge cycles, the asymmetric device demonstrated a high specific capacitance retention percentage of approximately 100 to 95 and a columbic efficiency of 98%. Moreover, NiCo 2 O 4 /ZnO-CuO/nickel foam composite had a low overpotential of 210 mV at 40 mA cm −2 and a Tafel slope of 70 mV dec −1 for OER in 1 M KOH. During continuous OER measurements over a period of 40 h, NiCo 2 O 4 /ZnO-CuO/nickel foam composites demonstrated high durability and stability. NiCo 2 O 4 /ZnO-CuO/nickel foam exhibits good electrochemical performance as a result of its synergetic effects, its high conductivity, its abundant exposed catalytic sites, its oxygen vacancies, and its high durability. Graphical Abstract The illustration for the synthesis of high-performance in situ NiCo 2 O 4 /ZnO-CuO/nickel foam composite for OER and supercapacitor application. Supercapacitor ; Composite number ; Oxygen evolution ; Materials science ; Chemical engineering ; Nanotechnology ; Chemistry ; Composite material ; Engineering ; Capacitance ; Electrode ; Electrochemistry ; Physical chemistry Supercapacitor Materials and Fabrication ; Electrocatalysts for Energy Conversion ; Advanced Memory and Neural Computing
Authors: Edith Dube | Grace Emily Okuthe
Source: Microbiology Research (article, 2025-05-28)
Field: Materials Science — Materials Chemistry

Silver Nanoparticle-Based Antimicrobial Coatings: Sustainable Strategies for Microbial Contamination Control Silver nanoparticles have gained significant attention due to their remarkable antimicrobial properties, making them ideal candidates for incorporation into various coatings. These coatings exhibit antimicrobial activity through multiple mechanisms, including the release of silver ions, the generation of reactive oxygen species, and the disruption of microbial cell membranes and intracellular metabolic pathways. The integration of silver nanoparticles into coating matrices through physical embedding, chemical bonding, or surface grafting not only influences the controlled release of antimicrobial agents but also affects the mechanical stability and longevity of the coatings. Several factors, including nanoparticle size, shape, surface chemistry, and functionalization, influence the antimicrobial efficiency of these nanoparticle-based coatings. As a result, silver nanoparticle coatings have been widely applied in medical devices, textiles, antifouling surfaces, and food packaging. This review discusses the advances in using silver nanoparticles in antimicrobial coatings, focusing on the mechanisms of action, fabrication methods, and diverse applications. The review also highlights the influence of nanoparticle characteristics on antimicrobial performance, providing insights into the future directions for smart coatings. Future research is expected to focus on optimizing the fabrication techniques, enhancing the stability of silver nanoparticle coatings, and exploring innovative applications in emerging fields. Antimicrobial ; Contamination ; Nanoparticle ; Contamination control ; Nanotechnology ; Silver nanoparticle ; Materials science ; Chemistry ; Biology ; Organic chemistry ; Ecology Nanoparticles: synthesis and applications ; Graphene and Nanomaterials Applications ; Advanced Nanomaterials in Catalysis
Authors: Qiang Zhang | Keyan Ding | Tianwen Lv | Xinda Wang | Qingyu Yin | Yiwen Zhang | Yu Jing | Yuhao Wang | Xiaotong Li | Zhuoyi Xiang | Xiang Zhuang | Zeyuan Wang | Ming Qin | Mengyao Zhang | Jinlu Zhang | Jiyu Cui | Renjun Xu | Hongyang Chen | Xiaohui Fan | Huabin Xing | Huajun Chen
Source: ACM Computing Surveys (review, 2025-01-26)
Field: Materials Science — Materials Chemistry

Scientific Large Language Models: A Survey on Biological &amp; Chemical Domains Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional linguistic boundaries, encompassing specialized linguistic systems developed within various scientific disciplines. This growing interest has led to the advent of scientific LLMs, a novel subclass specifically engineered for facilitating scientific discovery. As a burgeoning area in the community of AI for Science, scientific LLMs warrant comprehensive exploration. However, a systematic and up-to-date survey introducing them is currently lacking. In this article, we endeavor to methodically delineate the concept of “scientific language,” whilst providing a thorough review of the latest advancements in scientific LLMs. Given the expansive realm of scientific disciplines, our analysis adopts a focused lens, concentrating on the biological and chemical domains. This includes an in-depth examination of LLMs for textual knowledge, small molecules, macromolecular proteins, genomic sequences, and their combinations, analyzing them in terms of model architectures, capabilities, datasets, and evaluation. Finally, we critically examine the prevailing challenges and point out promising research directions along with the advances of LLMs. By offering a comprehensive overview of technical developments in this field, this survey aspires to be an invaluable resource for researchers navigating the intricate landscape of scientific LLMs. Computer science ; Data science Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Bioinformatics and Genomic Networks
Authors: Sheng Gong | Yumin Zhang | Zhenliang Mu | Zhichen Pu | Hongyi Wang | Xu Han | Zhiao Yu | Mengyi Chen | Tianze Zheng | Zhi Wang | Lifei Chen | Zhenze Yang | Xiaojie Wu | Shaochen Shi | Weihao Gao | Wen Yan | Liang Xiang
Source: Nature Machine Intelligence (article, 2025-04-01)
Field: Materials Science — Materials Chemistry

A predictive machine learning force-field framework for liquid electrolyte development Electrolyte ; Field (mathematics) ; Computer science ; Business ; Physics ; Electrode Machine Learning in Materials Science ; Fuel Cells and Related Materials
Authors: Guobin Zhao | Logan M. Brabson | Saumil Chheda | Ju Huang | Haewon Kim | K. Liu | K. Mochida | Thang D. Pham | Prerna | Gianmarco Terrones | Sunghyun Yoon | Lionel Zoubritzky | François‐Xavier Coudert | Maciej Harańczyk | Heather J. Kulik | Seyed Mohamad Moosavi | David S. Sholl | J. Ilja Siepmann | Randall Q. Snurr | Yongchul G. Chung
Source: Matter (article, 2025-05-05)
Field: Chemistry — Inorganic Chemistry

CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening Core (optical fiber) ; Process (computing) ; Database ; Computer science ; Metal-organic framework ; Materials science ; Chemistry ; Operating system ; Telecommunications Metal-Organic Frameworks: Synthesis and Applications ; Machine Learning in Materials Science ; X-ray Diffraction in Crystallography
Authors: Sameera Sh. Mohammed Ameen | Khalid M. Omer | Farzaneh Shalileh | Morteza Hosseini
Source: Materials Horizons (review, 2025-01-01)
Field: Chemistry — Inorganic Chemistry

Enhanced biochemical sensing using metallic nanoclusters integrated with metal–organic frameworks (NCs@MOFs): a comprehensive review In biochemical sensing, substantial progress has been achieved in the design, development, and application of metallic nanoclusters (NCs) and metal-organic frameworks (MOFs) as distinct entities. Integration of these two nanostructured materials is a promising strategy to form innovative composites with improved properties. Some improvements include (i) supporting platform to minimize the aggregation of NCs and enhance the emission efficiency; (ii) dual-emitting NCs@MOFs from the fluorescent/non-fluorescent MOFs and/or fluorescent NCs; and (iii) stability enhancement. These improvements increase the sensitivity, signal-to-noise ratio, and color tonality, lower the limit of detection, and improve other analytical figures of merits. In this review, we outline the preparation methods of NCs@MOF composites with the improvements offered by them in the field of biochemical analysis. Analytical applications in different fields, such as bioanalysis, environmental monitoring and food safety, are presented. Finally, we address the challenges that remain in the development and application of these composites, such as ensuring stability, enhancing the fluorescence intensity, and improving selectivity and scalability. Furthermore, perspectives on future research directions in this rapidly evolving field are offered. Nanoclusters ; Metal-organic framework ; Materials science ; Nanotechnology ; Metal ; Metallurgy ; Chemistry ; Adsorption ; Organic chemistry Metal-Organic Frameworks: Synthesis and Applications ; Nanocluster Synthesis and Applications ; Advanced Nanomaterials in Catalysis