jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Weiwei Zhao | Jingkai Liu | Shuaipeng Wang | Jinyue Dai | Xiaoqing Liu
Source: Advanced Materials (review, 2024-03-20)
Field: Materials Science — Polymers and Plastics

Bio‐Based Thermosetting Resins: From Molecular Engineering to Intrinsically Multifunctional Customization Recent years have witnessed a growing interest in bio-based thermosetting resins in terms of environmental concerns and the desire for sustainable industrial practices. Beyond sustainability, utilizing the structural diversity of renewable feedstock to craft bio-based thermosets with customized functionalities is very worthy of expectation. There exist many bio-based compounds with inherently unique chemical structures and functions, some of which are even difficult to synthesize artificially. Over the past decade, great efforts are devoted to discovering/designing functional properties of bio-based thermosets, and notable progress have been made in antibacterial, antifouling, flame retardancy, serving as carbon precursors, and stimuli responsiveness, among others, largely expanding their application potential and future prospects. In this review, recent advances in the field of functional bio-based thermosets are presented, with a particular focus on molecular structures and design strategies for discovering functional properties. Examples are highlighted wherein functionalities are facilitated by the inherent structures of bio-based feedstock. Perspectives on issues regarding further advances in this field are proposed at the end. Thermosetting polymer ; Materials science ; Nanotechnology ; Personalization ; Polymer science ; Composite material ; Computer science ; World Wide Web Polymer composites and self-healing ; biodegradable polymer synthesis and properties ; Carbon dioxide utilization in catalysis
Authors: Yuanchi Zhang | Cairong Li | A. Guo | Yipei Yang | Yangyi Nie | Jiaxin Liao | Ben Liu | Yanmei Zhou | Long Tu Li | Zhitong Chen | Wei Zhang | Ling Qin | Yuxiao Lai
Source: Nature Communications (article, 2024-02-22)
Field: Materials Science — Biomaterials

Black phosphorus boosts wet-tissue adhesion of composite patches by enhancing water absorption and mechanical properties Wet-tissue adhesives have long been attractive materials for realizing complicated biomedical functions. However, the hydration film on wet tissues can generate a boundary, forming hydrogen bonds with the adhesives that weaken adhesive strength. Introducing black phosphorus (BP) is believed to enhance the water absorption capacity of tape-type adhesives and effectively eliminate hydration layers between the tissue and adhesive. This study reports a composite patch integrated with BP nanosheets (CPB) for wet-tissue adhesion. The patch's improved water absorption and mechanical properties ensure its immediate and robust adhesion to wet tissues. Various bioapplications of CPB are demonstrated, such as rapid hemostasis (within ~1-2 seconds), monitoring of physical-activity and prevention of tumour-recurrence, all validated via in vivo studies. Given the good practicability, histocompatibility and biodegradability of CPB, the proposed patches hold significant promise for a wide range of biomedical applications. Adhesive ; Materials science ; Adhesion ; Black phosphorus ; Absorption of water ; Tissue Adhesion ; Composite number ; Absorption (acoustics) ; Composite material ; Biomedical engineering ; Nanotechnology ; Layer (electronics) Electrospun Nanofibers in Biomedical Applications ; Polymer Surface Interaction Studies ; Knee injuries and reconstruction techniques
Authors: Muhammad Mubeen Parvaiz | Adnan Khalil | Muhammad Bilal Tahir | Sania Ayub | Tarik E. Ali | Hafiz Tariq Masood
Source: RSC Advances (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

A DFT investigation on structural, electronic, magnetic, optical, elastic and hydrogen storage properties of Ru-based hydride-perovskites XRuH <sub>3</sub> (X = Cr, V, Ni) The present investigation delves into various physical properties exhibited by CrRuH<sub>3</sub>, VRuH<sub>3</sub> and NiRuH<sub>3</sub>. Notably adopting a stable cubic configuration, both compounds manifest a distinct metallic demeanor characterized by an absolute absence of band gap. In-depth analysis through Total Density of States (TDOS) and Partial Density of States (PDOS) justify this metallic conduct by distinctly showcasing peak conductivity at the Fermi level. The materials' magnetic behavior reveals an antiferromagnetic disposition for CrRuH<sub>3</sub> and NiRuH<sub>3</sub>, while their intrinsic attributes emerge as anisotropic and rigid. Applying Poisson's ratio (<i>ν</i>) and the <i>B</i>/<i>G</i> ratio, all investigated compounds show ductility, but the CrRuH<sub>3</sub> is superior among them. The heightened values of Young's modulus, Bulk modulus, and mean shear modulus observed in CrRuH<sub>3</sub> underscore its enhanced rigidity as compared to VRuH<sub>3</sub> and NiRuH<sub>3</sub>. Within the optical realm, CrRuH<sub>3</sub> displays notable optical conductivity and absorption, particularly within the lower energy spectrum. Remarkably, at 0 eV, CrRuH<sub>3</sub> showcases elevated reflectivity and refractive index as compared to the other investigated materials. On the hydrogen storage front, XRuH<sub>3</sub> (X = Cr, V, Ni) exhibit promising potential, yet CrRuH<sub>3</sub> emerges as the more favorable candidate for hydrogen storage applications. Hydride ; Hydrogen storage ; Ruthenium ; Materials science ; Hydrogen ; Physical chemistry ; Crystallography ; Inorganic chemistry ; Chemistry ; Catalysis ; Organic chemistry Hydrogen Storage and Materials ; Thermal Expansion and Ionic Conductivity ; Advanced Battery Materials and Technologies
Authors: Alexey V. Solomonov | Anna Kozell | Ulyana Shimanovich
Source: Angewandte Chemie International Edition (review, 2024-01-11)
Field: Materials Science — Biomaterials

Designing Multifunctional Biomaterials via Protein Self‐Assembly Protein self-assembly is a fundamental biological process where proteins spontaneously organize into complex and functional structures without external direction. This process is crucial for the formation of various biological functionalities. However, when protein self-assembly fails, it can trigger the development of multiple disorders, thus making understanding this phenomenon extremely important. Up until recently, protein self-assembly has been solely linked either to biological function or malfunction; however, in the past decade or two it has also been found to hold promising potential as an alternative route for fabricating materials for biomedical applications. It is therefore necessary and timely to summarize the key aspects of protein self-assembly: how the protein structure and self-assembly conditions (chemical environments, kinetics, and the physicochemical characteristics of protein complexes) can be utilized to design biomaterials. This minireview focuses on the basic concepts of forming supramolecular structures, and the existing routes for modifications. We then compare the applicability of different approaches, including compartmentalization and self-assembly monitoring. Finally, based on the cutting-edge progress made during the last years, we summarize the current knowledge about tailoring a final function by introducing changes in self-assembly and link it to biomaterials' performance. Compartmentalization (fire protection) ; Nanotechnology ; Self-assembly ; Function (biology) ; Computer science ; Process (computing) ; Biochemical engineering ; Materials science ; Chemistry ; Engineering ; Biology Silk-based biomaterials and applications ; Supramolecular Self-Assembly in Materials ; Biochemical and Structural Characterization
Authors: Wen Li | Xiaoping Zhang | Shuanglong Wang | Xiaofei Gao | Xinglei Zhang
Source: Foods (article, 2024-02-19)
Field: Chemistry — Analytical Chemistry

Research Progress on Extraction and Detection Technologies of Flavonoid Compounds in Foods Flavonoid compounds have a variety of biological activities and play an essential role in preventing the occurrence of metabolic diseases. However, many structurally similar flavonoids are present in foods and are usually in low concentrations, which increases the difficulty of their isolation and identification. Therefore, developing and optimizing effective extraction and detection methods for extracting flavonoids from food is essential. In this review, we review the structure, classification, and chemical properties of flavonoids. The research progress on the extraction and detection of flavonoids in foods in recent years is comprehensively summarized, as is the application of mathematical models in optimizing experimental conditions. The results provide a theoretical basis and technical support for detecting and analyzing high-purity flavonoids in foods. Flavonoid ; Biochemical engineering ; Extraction (chemistry) ; Identification (biology) ; Isolation (microbiology) ; Food products ; Computer science ; Biotechnology ; Chemistry ; Biology ; Food science ; Chromatography ; Bioinformatics ; Engineering ; Botany ; Biochemistry Chromatography in Natural Products ; Phytochemicals and Antioxidant Activities ; Analytical Chemistry and Chromatography
Authors: Tianyu Wang | Siqi Liu | Jiahang Zhang | Liang Xu | Mingyu Yang | Ding Ma | Sijia Jiang | Qingbin Jiao | Xin Tan
Source: Nanophotonics (article, 2024-02-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Dual high‐Q Fano resonances metasurfaces excited by asymmetric dielectric rods for refractive index sensing The metasurface refractive index sensor has a high degree of tunability and flexibility, providing excellent performance for high precision refractive index sensing applications. The metasurface absorber with metallic structure has been hindered in further sensor applications due to the inherent Ohmic loss of the metallic material. In this study, a dual nanorod metasurface structure based on semiconductor Si was designed, introducing a symmetry-breaking structure to excite dual ultra-narrow q-BIC resonance peaks with Fano line shapes. Both peaks are located in the near-infrared region, and multipole analysis shows that this strong field enhancement effect is induced by a magnetic dipole. Experimental results demonstrate the potential of this sensor to provide dual-channel detection while achieving high sensitivity and high Q-factor. We believe that this device exhibits outstanding performance and high practicality, providing a reference for the development and application of biological and environmental sensors. Fano resonance ; Refractive index ; Materials science ; Nanorod ; Plasmon ; Multipole expansion ; Metamaterial ; Optoelectronics ; High-refractive-index polymer ; Dielectric ; Optics ; Dipole ; Physics ; Nanotechnology Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Advanced Antenna and Metasurface Technologies
Authors: Changhyun Kim | Jongwoo Hong | Junhyeok Jang | Gun‐Yeal Lee | Youngjin Kim | Yoonchan Jeong | Byoungho Lee
Source: Science Advances (article, 2024-05-29)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Freeform metasurface color router for deep submicron pixel image sensors Advances in imaging technologies have led to a high demand for ultracompact, high-resolution image sensors. However, color filter-based image sensors, now miniaturized to deep submicron pixel sizes, face challenges such as low signal-to-noise ratio due to fewer photons per pixel and inherent efficiency limitations from color filter arrays. Here, we demonstrate a freeform metasurface color router that achieves ultracompact pixel sizes while overcoming the efficiency limitations of conventional architectures by splitting and focusing visible light instead of filtering. This development is enabled by a fully differentiable topology optimization framework to maximize the use of the design space while ensuring fabrication feasibility and robustness to fabrication errors. The metasurface can distribute an average of 85% of incident visible light according to the Bayer pattern with a pixel size of 0.6 μm. The device and design methodology enable the compact, high-sensitivity, and high-resolution image sensors for various modern technologies and pave the way for the advanced photonic device design. Pixel ; Computer science ; Color gel ; Color filter array ; Router ; Artificial intelligence ; Image sensor ; Robustness (evolution) ; Filter (signal processing) ; Computer vision ; Optics ; Materials science ; Physics ; Nanotechnology Metamaterials and Metasurfaces Applications ; Photonic Crystals and Applications ; Advanced Antenna and Metasurface Technologies
Authors: Ying Shang | Ziyu Xiong | Kang An | Jens Hauch | Christoph J. Brabec | Ning Li
Source: Materials Genome Engineering Advances (article, 2024-03-01)
Field: Materials Science — Materials Chemistry

Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics Abstract The emerging photovoltaic (PV) technologies, such as organic and perovskite PVs, have the characteristics of complex compositions and processing, resulting in a large multidimensional parameter space for the development and optimization of the technologies. Traditional manual methods are time‐consuming and labor‐intensive in screening and optimizing material properties. Materials genome engineering (MGE) advances an innovative approach that combines efficient experimentation, big database and artificial intelligence (AI) algorithms to accelerate materials research and development. High‐throughput (HT) research platforms perform multidimensional experimental tasks rapidly, providing a large amount of reliable and consistent data for the creation of materials databases. Therefore, the development of novel experimental methods combining HT and AI can accelerate materials design and application, which is beneficial for establishing material‐processing‐property relationships and overcoming bottlenecks in the development of emerging PV technologies. This review introduces the key technologies involved in MGE and overviews the accelerating role of MGE in the field of organic and perovskite PVs. Computer science ; Big data ; Photovoltaics ; Photovoltaic system ; Systems engineering ; Biochemical engineering ; Perovskite (structure) ; Field (mathematics) ; Emerging technologies ; Data science ; Nanotechnology ; Process engineering ; Distributed computing ; Materials science ; Artificial intelligence ; Data mining ; Engineering ; Electrical engineering Machine Learning in Materials Science ; Perovskite Materials and Applications ; Chalcogenide Semiconductor Thin Films
Authors: Hang Xu | Peng Cheng
Source: Aggregate (article, 2024-02-01)
Field: Materials Science — Materials Chemistry

Metal–organic frameworks with aggregation‐induced emission Abstract Aggregation‐induced emission (AIE) materials exhibit remarkable emission in the aggregated or solid state while demonstrating minimal emission in dilute solutions. In contrast to conventional luminescent materials, AIE luminogens (AIEgens) offer several advantages in the aggregate state, including high quantum yield, excellent photostability, and low background signals, making them highly promising for diverse applications. Integrating AIEgens into designable metal–organic frameworks (MOFs) enables tunable and well‐ordered AIE materials, allowing for precise control over photophysical properties and deeper exploration of AIE mechanisms. Numerous AIE MOFs have been constructed and investigated, and several reviews focus on their structure design and applications in sensing and bioimaging. This review highlights the state‐of‐the‐art advancements in AIE MOFs, including mechanisms, design strategies, and applications in chemical sensing, bioimaging, and disease therapy. The challenges associated with practical applications of AIE MOFs are also addressed, with an emphasis on their large‐scale production involved interdisciplinary collaboration. This comprehensive review aims at guiding further development of AIE MOFs and promoting their practical applications in analysis, healthcare, and other luminescence related fields. Aggregation-induced emission ; Nanotechnology ; Metal-organic framework ; Materials science ; Solid-state ; Chemistry ; Engineering physics ; Engineering ; Fluorescence Luminescence and Fluorescent Materials ; Metal-Organic Frameworks: Synthesis and Applications ; Molecular Sensors and Ion Detection
Authors: Qi Zeng | Chenyang Xing | Zhen Xu | Qing Liu | Liangtao Yang | Hui Yang | Yi Zhang | Zhengchun Peng
Source: Advanced Functional Materials (article, 2024-02-14)
Field: Materials Science — Materials Chemistry

Fast Electrodeposition of MXene/PDA Composites for High‐Performance Bioelectronic Interfaces: An In Vitro Evaluation Abstract Bioelectrode is critical to many biomedical researches. However, traditional materials (typically noble metals) and manufacturing techniques limit the large‐scale production of bioelectrodes. Herein, a fast electrochemical approach is proposed to deposit versatile MXene/polydopamine (PDA) composites on a metalized substrate. PDA coating can improve the adhesion between MXene and the substrate, while MXene provides rough surfaces with unique micro/nanostructure and outstanding electrical/optical/thermal performance. The impedance of the as‐prepared bioelectrode at 1 kHz is down to 8.48 Ω cm 2 . The corresponding cathodic charge storage capacity (CSC c ) and charge injection capacity (CIC) are up to ≈250 and 6.59 mC cm −2 respectively, much superior to that of bare Pt and other conventional material‐based electrodes. The MXene/PDA composites also demonstrate robust stability under continuous electrostimulation for 1 × 10 8 pulse cycles and 1000 CV cycles. Moreover, MXene/PDA composites show a high and rapid photothermal response. Photoelectrochemical activity is also observed with high photocurrent, ≈40 folds larger than that of bare Pt. The utility of this new electrode in ascorbic acid sensing is demonstrated. Excellent biocompatibility is verified via neuron adhesion test and viability assay. Materials science ; Biocompatibility ; Substrate (aquarium) ; Electrode ; Coating ; Photocurrent ; Ascorbic acid ; Photothermal therapy ; Nanotechnology ; Composite material ; Electrochemistry ; Optoelectronics ; Metallurgy MXene and MAX Phase Materials ; Advanced Memory and Neural Computing ; Advanced Sensor and Energy Harvesting Materials
Authors: Snehi Shrestha | Kieran Barvenik | Tianle Chen | Haochen Yang | Yang Li | Meera Muthachi Kesavan | Joshua M. Little | Hayden Christopher Whitley | Zi Teng | Yaguang Luo | Eleonora Tubaldi | Po‐Yen Chen
Source: Nature Communications (article, 2024-06-01)
Field: Materials Science — Materials Chemistry

Machine intelligence accelerated design of conductive MXene aerogels with programmable properties Designing ultralight conductive aerogels with tailored electrical and mechanical properties is critical for various applications. Conventional approaches rely on iterative, time-consuming experiments across a vast parameter space. Herein, an integrated workflow is developed to combine collaborative robotics with machine learning to accelerate the design of conductive aerogels with programmable properties. An automated pipetting robot is operated to prepare 264 mixtures of Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene, cellulose, gelatin, and glutaraldehyde at different ratios/loadings. After freeze-drying, the aerogels' structural integrity is evaluated to train a support vector machine classifier. Through 8 active learning cycles with data augmentation, 162 unique conductive aerogels are fabricated/characterized via robotics-automated platforms, enabling the construction of an artificial neural network prediction model. The prediction model conducts two-way design tasks: (1) predicting the aerogels' physicochemical properties from fabrication parameters and (2) automating the inverse design of aerogels for specific property requirements. The combined use of model interpretation and finite element simulations validates a pronounced correlation between aerogel density and compressive strength. The model-suggested aerogels with high conductivity, customized strength, and pressure insensitivity allow for compression-stable Joule heating for wearable thermal management. Electrical conductor ; Aerogel ; Computer science ; Materials science ; Nanotechnology ; Composite material MXene and MAX Phase Materials ; Advanced Memory and Neural Computing ; Graphene research and applications
Authors: Rohitas Deshmukh | Pranshul Sethi | Bhupendra Singh | Jailani Shiekmydeen | Sagar Salave | Ravish J. Patel | Nemat Ali | Summya Rashid | Gehan M. Elossaily | Arun Kumar
Source: Pharmaceutics (review, 2024-08-16)
Field: Materials Science — Biomaterials

Recent Review on Biological Barriers and Host–Material Interfaces in Precision Drug Delivery: Advancement in Biomaterial Engineering for Better Treatment Therapies Preclinical and clinical studies have demonstrated that precision therapy has a broad variety of treatment applications, making it an interesting research topic with exciting potential in numerous sectors. However, major obstacles, such as inefficient and unsafe delivery systems and severe side effects, have impeded the widespread use of precision medicine. The purpose of drug delivery systems (DDSs) is to regulate the time and place of drug release and action. They aid in enhancing the equilibrium between medicinal efficacy on target and hazardous side effects off target. One promising approach is biomaterial-assisted biotherapy, which takes advantage of biomaterials' special capabilities, such as high biocompatibility and bioactive characteristics. When administered via different routes, drug molecules deal with biological barriers; DDSs help them overcome these hurdles. With their adaptable features and ample packing capacity, biomaterial-based delivery systems allow for the targeted, localised, and prolonged release of medications. Additionally, they are being investigated more and more for the purpose of controlling the interface between the host tissue and implanted biomedical materials. This review discusses innovative nanoparticle designs for precision and non-personalised applications to improve precision therapies. We prioritised nanoparticle design trends that address heterogeneous delivery barriers, because we believe intelligent nanoparticle design can improve patient outcomes by enabling precision designs and improving general delivery efficacy. We additionally reviewed the most recent literature on biomaterials used in biotherapy and vaccine development, covering drug delivery, stem cell therapy, gene therapy, and other similar fields; we have also addressed the difficulties and future potential of biomaterial-assisted biotherapies. Biomaterial ; Drug delivery ; Biocompatible material ; Nanotechnology ; Biomedical engineering ; Medicine ; Engineering ; Materials science Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; Nanoplatforms for cancer theranostics