jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Jinxi Feng | Qi Zhu | Qingguo Le | Wenlei Zhu | Bing Song | Zehui Zhang | Jason Chun‐Ho Lam
Source: Renewable and Sustainable Energy Reviews (article, 2025-01-07)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Source and performance of waste-derived porous carbon material as supercapacitor: Biomass, sludge and plastic waste as precursors Waste management ; Biomass (ecology) ; Supercapacitor ; Plastic waste ; Waste material ; Carbon fibers ; Materials science ; Environmental science ; Porosity ; Carbon source ; Pulp and paper industry ; Composite material ; Chemistry ; Composite number ; Engineering ; Capacitance ; Ecology Supercapacitor Materials and Fabrication ; Electrospun Nanofibers in Biomedical Applications ; Nanomaterials for catalytic reactions
Authors: Zhengquan Lu | Kun Xu | Kai Xiao | Qibin Xu | Li Wang | Peng Li | Jinhao Zhou | Dan Zhao | Libing Bai | Yuhua Cheng | Wei Huang
Source: npj Flexible Electronics (article, 2025-02-13)
Field: Materials Science — Polymers and Plastics

Biomolecule sensors based on organic electrochemical transistors Biosensors based on organic electrochemical transistors (OECTs) have been a research highlight in recent years owing to their remarkable biocompatibility, low operating voltage, and substantial signal amplification capability. Especially, as an emerging fundamental device for biosensing, OECTs show great potential for pH, ions, molecules, and biomarker sensing. This review highlights the research progress of biomolecule sensors based on OECTs, focusing on recent publications in the past 5 years. Specifically, OECT-based biomolecule sensors for small molecules (glucose, dopamine, lactate, etc. that act as signals or effectors), and macromolecules (DNA, RNA, proteins, etc. that are often used as markers in physiology and medicine), are summarized. Additionally, emerging technologies and materials used to enhance sensitivity, detection limits, and detection ranges are described comprehensively. Last, aspects of OECT-based biomolecule sensors that need further improvement are discussed along with future opportunities and challenges. Biomolecule ; Transistor ; Nanotechnology ; Materials science ; Electrochemistry ; Computer science ; Optoelectronics ; Engineering ; Electrical engineering ; Chemistry ; Electrode ; Voltage Conducting polymers and applications ; Analytical Chemistry and Sensors ; Electrochemical sensors and biosensors
Authors: Nargish Parvin | M. Aslam | Sang‐Woo Joo | Tapas Kumar Mandal
Source: Molecules (review, 2025-07-29)
Field: Materials Science — Materials Chemistry

Nano-Phytomedicine: Harnessing Plant-Derived Phytochemicals in Nanocarriers for Targeted Human Health Applications Phytochemicals from medicinal plants offer significant therapeutic benefits, yet their clinical utility is often limited by poor solubility, instability, and low bioavailability. Nanotechnology presents a transformative approach to overcome these challenges by encapsulating phytochemicals in nanocarriers that enhance stability, targeted delivery, and controlled release. This review highlights major classes of phytochemicals such as polyphenols, flavonoids, and alkaloids and explores various nanocarrier systems including liposomes, polymeric nanoparticles, and hybrid platforms. It also discusses their mechanisms of action, improved pharmacokinetics, and disease-specific targeting. Further, the review examines clinical advancements, regulatory considerations, and emerging innovations such as smart nanocarriers, AI-driven formulation, and sustainable manufacturing. Nano-phytomedicine offers a promising path toward safer, more effective, and personalized therapies, bridging traditional herbal knowledge with modern biomedical technology. Nanocarriers ; Phytomedicine ; Nanomedicine ; Nanotechnology ; Drug delivery ; Pharmacology ; Medicine ; Biotechnology ; Traditional medicine ; Materials science ; Biology ; Nanoparticle Nanoparticles: synthesis and applications ; Nigella sativa pharmacological applications ; Andrographolide Research and Applications
Authors: K.M. Abdullah | Gunjan Sharma | Ajay P. Singh | Jawed A. Siddiqui
Source: Molecular Cancer (review, 2025-06-09)
Field: Materials Science — Biomaterials

Nanomedicine in Cancer Therapeutics: Current Perspectives from Bench to Bedside Cancer is among the leading causes of death worldwide, with projections indicating that it will claim 35 million lives by the year 2050. Conventional therapies, such as chemotherapy and immune modulation, have reduced cancer mortality to some extent; however, they have limited efficacy due to their broad mode of action, often resulting in cytotoxic effects on normal cells along with the malignant tissues, ultimately limiting their overall optimal therapeutic efficacy outcomes.Rapid advances in nanotechnology and an evolving understanding of cancer mechanisms have propelled the development of a diverse array of nanocarriers to vanquish the hurdles in achieving sophisticated drug delivery with reduced off-target toxicity. Nanoformulations can deliver the anti-cancer agents precisely to the tumor cell by integrating a multitarget approach that allows for tissue-, cell-, or organelle-specific delivery and internalization. Despite the immense interest and unmatched advancements in modern oncology equipped with nanomedicines, only a few nanoformulations have successfully translated into clinical settings. A major reason behind this shortcoming is the lack of a rationale design incorporating smart, responsive targeting features, leading to a compromised therapeutic window due to inefficient internalization or erroneous intracellular localization with unsuccessful payload release. This review aims to summarize the recent perspective of nanomedicine and its translation to clinical practice, with a particular focus on the evolution of strategies used in tumor targeting from traditional EPR-based passive mechanisms to advanced active and multi-stage approaches. We highlight the coupling of organelle-specific and stimuli-responsive nanocarriers, discuss the potential of biomimetic and cell-mediated delivery systems, and also shed light on technologies such as microfluidics, tumor-on-chip models, and AI-assisted synthesis. Finally, this review explores translational hurdles ranging from biological and manufacturing challenges to regulatory bottlenecks and outlines how innovative modeling systems and engineering solutions can bridge the gap from bench to bedside in cancer nanotherapeutics. Bench to bedside ; Nanomedicine ; Current (fluid) ; Cancer ; Biology ; Medical physics ; Engineering ethics ; Intensive care medicine ; Computational biology ; Medicine ; Nanotechnology ; Engineering Nanoparticle-Based Drug Delivery ; Graphene and Nanomaterials Applications ; RNA Interference and Gene Delivery
Authors: Zhuo Wang | Weikang Pan | Yu He | Zhiyan Zhu | Xiangyu Jin | Muhan Liu | Shaojie Ma | Qiong He | Shulin Sun | Lei Zhou
Source: Opto-Electronic Science (article, 2025-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Efficient generation of vectorial terahertz beams using surface-wave excited metasurfaces On-chip devices for generating pre-designed vectorial optical fields (VOFs) under surface wave (SW) excitations are highly desired in integrated photonics. However, conventional devices are usually of large footprints, low efficiencies, and limited wave-control capabilities. Here, we present a generic approach to design ultra-compact on-chip devices that can efficiently generate pre-designed VOFs under SW excitations, and experimentally verify the concept in terahertz (THz) regime. We first describe how to design SW-excitation metasurfaces for generating circularly polarized complex beams, and experimentally demonstrate two meta-devices to realize directional emission and focusing of THz waves with opposite circular polarizations, respectively. We then establish a systematic approach to construct an integrated device via merging two carefully designed metasurfaces, which, under SW excitations, can separately produce pre-designed far-field patterns with different circular polarizations and generate target VOF based on their interference. As a proof of concept, we demonstrate experimentally a meta-device that can generate a radially polarized Bessel beam under SW excitation at ~0.4 THz. Experimental results agree well with full-wave simulations, collectively verifying the performance of our device. Our study paves the road to realizing highly integrated on-chip functional THz devices, which may find many applications in biological sensing, communications, displays, image multiplexing, and beyond. Terahertz radiation ; Excited state ; Optics ; Terahertz metamaterials ; Surface wave ; Physics ; Optoelectronics ; Atomic physics ; Far-infrared laser ; Laser Metamaterials and Metasurfaces Applications ; Millimeter-Wave Propagation and Modeling ; Microwave Engineering and Waveguides
Authors: Thivya Selvam | Nor Mas Mira Abd Rahman | Fabrizio Olivito | Zul Ilham | Rahayu Ahmad | Wan Abd Al Qadr Imad Wan‐Mohtar
Source: Polymers (review, 2025-07-09)
Field: Materials Science — Biomaterials

Agricultural Waste-Derived Biopolymers for Sustainable Food Packaging: Challenges and Future Prospects The widespread use of conventional plastic in food packaging has raised serious environmental issues due to its persistence and poor biodegradability. With growing concerns over plastic pollution and its long-term ecological impact, researchers are increasingly turning to natural, renewable sources for sustainable alternatives. Agricultural waste, often discarded in large quantities, offers a valuable resource for producing biodegradable polymers. This review discusses the environmental burden caused by traditional plastics and explores how agricultural residues such as rice husks, corn cobs, and fruit peels can be converted into eco-friendly packaging materials. Various types of biopolymers sourced from agricultural waste, including cellulose, starch, plant and animal-based proteins, polyhydroxyalkanoates (PHA), and polylactic acid (PLA), are examined for their properties, benefits, and limitations in food packaging applications. Each material presents unique characteristics in terms of biodegradability, mechanical strength, and barrier performance. While significant progress has been made, several challenges remain, including cost-effective production, material performance, and compliance with food safety regulations. Looking ahead, innovations in material processing, waste management integration, and biopolymer formulation could pave the way for widespread adoption. This review aims to provide a comprehensive overview of current developments and future directions in the use of agricultural waste for sustainable packaging solutions, comparing their biodegradability and performance to conventional plastics. Bioplastic ; Biodegradation ; Food packaging ; Waste management ; Environmentally friendly ; Environmental pollution ; Biopolymer ; Agriculture ; Environmental science ; Business ; Renewable resource ; Polylactic acid ; Renewable energy ; Engineering ; Materials science ; Environmental protection ; Chemistry biodegradable polymer synthesis and properties ; Nanocomposite Films for Food Packaging ; Microplastics and Plastic Pollution
Authors: Ana C. C. Dutra | Benedek A. Goldmann | M. Saïful Islam | James A. Dawson
Source: Nature Reviews Materials (review, 2025-06-24)
Field: Materials Science — Materials Chemistry

Understanding solid-state battery electrolytes using atomistic modelling and machine learning Battery (electricity) ; Electrolyte ; Materials science ; Computer science ; State (computer science) ; Nanotechnology ; Thermodynamics ; Chemistry ; Physics ; Physical chemistry ; Electrode ; Algorithm Machine Learning in Materials Science ; Advancements in Battery Materials ; Advanced Battery Technologies Research
Authors: V. Ravi Kumar | José L. Páez | Sandra Míguez‐Lago | Juan M. Cuerva | Carlos M. Cruz | Araceli G. Campaña
Source: Chemical Society Reviews (review, 2025-01-01)
Field: Chemistry — Organic Chemistry

Chiral nanographenes exhibiting circularly polarized luminescence Chiral nanographenes constitute an unconventional material class that deviates from planar graphene cutouts. They have gained considerable attention for their ability to exhibit circularly polarized luminescence (CPL), which offers new opportunities in chiral optoelectronics. Their unique π-conjugated architectures, coupled with the ability to introduce chirality at the molecular level, have made them powerful contenders in developing next-generation optoelectronic devices. This review thoroughly explores recent advances in the synthesis, structural design, and CPL performance of chiral nanographenes. We delve into diverse strategies for inducing chirality, including covalent functionalization, helically twisted frameworks, and heteroatom doping, each of which unlocks distinct CPL behaviors. In addition, we discuss the mechanistic principles governing CPL and future directions in chiral nanographenes to achieve high dissymmetry factors (<i>g</i><sub>lum</sub>) and tunable emission properties. We also discuss the key challenges in this evolving field, including designing robust chiral frameworks, optimizing CPL efficiency, and scaling up real-world applications. Through this review, we aim to shed light on recent developments in the bottom-up synthesis of structurally precise chiral nanographenes and evaluate their impact on the growing domain of circularly polarized luminescent materials. Luminescence ; Circular polarization ; Luminescent Measurements ; Chemistry ; Materials science ; Nanotechnology ; Photochemistry ; Optoelectronics ; Physics ; Optics Synthesis and Properties of Aromatic Compounds ; Luminescence and Fluorescent Materials ; Advanced NMR Techniques and Applications
Authors: Md. Toukir Ahmed | Ocean Monjur | Alin Khaliduzzaman | Mohammed Kamruzzaman
Source: Artificial Intelligence Review (review, 2025-01-25)
Field: Chemistry — Analytical Chemistry

A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal Abstract Hyperspectral imaging (HSI) has recently emerged as a promising tool for various agricultural applications. However, high equipment cost, instrumentation complexity, and data-intensive nature have limited its widespread adoption. To overcome these challenges, reconstructing hyperspectral data from simple, cost-effective color or RGB (red-green-blue) images using advanced deep learning algorithms offers a practically attractive solution for a wide range of applications in food quality control and assurance. Through advanced deep learning algorithms, it is possible to capture and reconstruct spectral information from simple, cost-effective RGB imaging to create a reliable, efficient, and scalable system with accuracy comparable to dedicated, expensive HSI systems. This review provides a comprehensive overview of recent advances in deep learning techniques for HSI reconstruction and highlights the transformative impact of deep learning-based hyperspectral image reconstruction on agricultural and food products and anticipates a future where these innovations will lead to more advanced and widespread applications in the agri-food industry. Hyperspectral imaging ; Computer science ; Quality (philosophy) ; Artificial intelligence ; Image quality ; Deep learning ; Computer vision ; Image (mathematics) ; Remote sensing ; Geology Spectroscopy and Chemometric Analyses ; Advanced Image Fusion Techniques ; Remote Sensing in Agriculture
Authors: Haohan Ding | Haoke Hou | Long Wang | Xiaohui Cui | Wei Yu | David I. Wilson
Source: Foods (review, 2025-01-14)
Field: Chemistry — Analytical Chemistry

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety This review explores the application of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in food safety detection and risk prediction. This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (especially their variant LSTM) in time series data modeling. This paper also makes a comparative analysis in many aspects: Firstly, the advantages and disadvantages of traditional food safety detection and risk prediction methods are compared with deep learning technologies such as CNNs and RNNs. Secondly, the similarities and differences between CNNs and fully connected neural networks in processing image data are analyzed. Furthermore, the advantages and disadvantages of RNNs and traditional statistical modeling methods in processing time series data are discussed. Finally, the application directions of CNNs in food safety detection and RNNs in food safety risk prediction are compared. This paper also discusses combining these deep learning models with technologies such as the Internet of Things (IoT), blockchain, and federated learning to improve the accuracy and efficiency of food safety detection and risk warning. Finally, this paper mentions the limitations of RNNs and CNNs in the field of food safety, as well as the challenges in the interpretability of the model, and suggests the use of interpretable artificial intelligence (XAI) technology to improve the transparency of the model. Interpretability ; Recurrent neural network ; Computer science ; Deep learning ; Artificial intelligence ; Convolutional neural network ; Food safety ; Machine learning ; Artificial neural network ; Field (mathematics) Spectroscopy and Chemometric Analyses ; Currency Recognition and Detection ; Smart Agriculture and AI
Authors: Md. Ataur Rahman | Maroua Jalouli | Mahesh Kumar Yadab | Mohammed Al‐Zharani
Source: Cancers (review, 2025-02-19)
Field: Materials Science — Biomaterials

Progress in Drug Delivery Systems Based on Nanoparticles for Improved Glioblastoma Therapy: Addressing Challenges and Investigating Opportunities Glioblastoma multiforme (GBM) is a highly malignant brain tumor that has a bleak outlook despite existing treatments such as surgery, radiation, and chemotherapy. The utilization of nanoparticles for drug delivery presents a promising method by which to improve the effectiveness of treatment while reducing the harmful effects on the entire body. This review examines the application of nanoparticles in the treatment of GBM, focusing on different types of nanoparticles, including lipid-based, polymeric, metallic, and those under development. Every variety is analyzed for its distinct characteristics and therapeutic capacity. Lipid-based nanoparticles, such as liposomes and solid lipid nanoparticles, enhance the transport of medicines that are not soluble in water and have shown considerable potential in preclinical investigations. Polymeric nanoparticles have benefits in terms of controlled release and targeted distribution, whereas metallic nanoparticles have potential in both therapy and imaging. In the current review we would like to emphasize the ways in which nanoparticles improve medicine delivery, specifically by enhancing penetration of the blood-brain barrier (BBB), targeting tumors, and enabling controlled release. Additionally, we also discuss current preclinical and clinical discoveries, highlighting both achievements and obstacles in the process of converting these technologies into effective treatments for GBM. This study offers a thorough examination of the present status and prospects of nanoparticles in the treatment of GBM. Glioblastoma ; Drug delivery ; Drug ; Medicine ; Nanotechnology ; Computer science ; Pharmacology ; Materials science ; Cancer research Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; RNA Interference and Gene Delivery
Authors: Simon Harrisson | Richard Whitfield | Athina Anastasaki | Krzysztof Matyjaszewski
Source: Nature Reviews Methods Primers (article, 2025-01-09)
Field: Chemistry — Organic Chemistry

Atom transfer radical polymerization Atom-transfer radical-polymerization ; Living free-radical polymerization ; Reversible addition−fragmentation chain-transfer polymerization ; Chain transfer ; Polymerization ; Atom (system on chip) ; Radical polymerization ; Chemistry ; Photochemistry ; Polymer chemistry ; Materials science ; Computer science ; Organic chemistry ; Polymer Advanced Polymer Synthesis and Characterization ; Photopolymerization techniques and applications ; Innovative Microfluidic and Catalytic Techniques Innovation
Authors: Hongliang Zeng | Zheng Chen | Qiu Jiang | Qiu Zhong | Yuan Ji | Yizhen Chen | Jiawei Li | Chunxiao Liu | Runhao Zhang | Jialin Tang | Xiaoxia Xiong | Zhongyue Zhang | Zhaoyang Chen | Yizhou Dai | Chengbo Li | Yinfang Chen | Donghao Zhao | Xu Li | Tingting Zheng | Xin Xu | Chuan Xia
Source: Nature Communications (article, 2025-05-09)
Field: Materials Science — Materials Chemistry

Sustainable and cost-efficient hydrogen production using platinum clusters at minimal loading Proton exchange membrane water electrolysis stands as a promising technology for sustainable hydrogen production, although its viability hinges on minimizing platinum (Pt) usage without sacrificing catalytic efficiency. Central to this challenge is enhancing the intrinsic activity of Pt while ensuring the stability of the catalyst. We herein present a Mo<sub>2</sub>TiC<sub>2</sub> MXene-supported Pt nanocluster catalyst (Mo<sub>2</sub>TiC<sub>2</sub>-Pt<sub>NC</sub>) that requires a minimal Pt content (36 μg cm<sup>-2</sup>) to function, yet remains highly active and stable. Operando spectroscopy and theoretical simulation provide evidence for anomalous charge transfer from the MXene substrate to Pt<sub>NC</sub>, thus generating highly efficient electron-rich Pt sites for robust hydrogen evolution. When incorporated into a proton exchange membrane electrolyzer, the catalyst affords more than 8700 h at 200 mA cm<sup>-2</sup> under ambient temperature with a decay rate of just 2.2 μV h<sup>-1</sup>. All the performance metrics of the present Mo<sub>2</sub>TiC<sub>2</sub>-Pt<sub>NC</sub> catalysts are on par with or even surpass those of current hydrogen evolution electrocatalysts under identical operation conditions, thereby challenging the monopoly of high-loading Pt/C-20% in the current electrolyzer design. Platinum ; Hydrogen production ; Production (economics) ; Sustainable production ; Hydrogen ; Chemistry ; Environmental science ; Computer science ; Catalysis ; Biochemistry ; Economics ; Organic chemistry Catalytic Processes in Materials Science ; Electrocatalysts for Energy Conversion ; Advanced Photocatalysis Techniques