jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Ketan Kuperkar | Leonard Ionuț Atanase | Anita Bahadur | Ioana Cristina Crivei | Pratap Bahadur
Source: Polymers (review, 2024-01-10)
Field: Materials Science — Biomaterials

Degradable Polymeric Bio(nano)materials and Their Biomedical Applications: A Comprehensive Overview and Recent Updates Degradable polymers (both biomacromolecules and several synthetic polymers) for biomedical applications have been promising very much in the recent past due to their low cost, biocompatibility, flexibility, and minimal side effects. Here, we present an overview with updated information on natural and synthetic degradable polymers where a brief account on different polysaccharides, proteins, and synthetic polymers viz. polyesters/polyamino acids/polyanhydrides/polyphosphazenes/polyurethanes relevant to biomedical applications has been provided. The various approaches for the transformation of these polymers by physical/chemical means viz. cross-linking, as polyblends, nanocomposites/hybrid composites, interpenetrating complexes, interpolymer/polyion complexes, functionalization, polymer conjugates, and block and graft copolymers, are described. The degradation mechanism, drug loading profiles, and toxicological aspects of polymeric nanoparticles formed are also defined. Biomedical applications of these degradable polymer-based biomaterials in and as wound dressing/healing, biosensors, drug delivery systems, tissue engineering, and regenerative medicine, etc., are highlighted. In addition, the use of such nano systems to solve current drug delivery problems is briefly reviewed. Polymer ; Drug delivery ; Materials science ; Biocompatibility ; Nanotechnology ; Polyester ; Copolymer ; Tissue engineering ; Smart polymer ; Natural polymers ; Surface modification ; Nanocomposite ; Biomedical engineering ; Chemistry ; Composite material biodegradable polymer synthesis and properties ; Advanced Polymer Synthesis and Characterization ; Electrospun Nanofibers in Biomedical Applications
Authors: Anhan Liu | Xiaowei Zhang | Ziyu Liu | Yuning Li | Xueyang Peng | Xin Li | Qin Yue | Hu Chen | Yanqing Qiu | Han Jiang | Yang Wang | Yifan Li | Jun Tang | Jun Liu | Hao Guo | Tao Deng | Songang Peng | He Tian | Tian‐Ling Ren
Source: Nano-Micro Letters (review, 2024-02-16)
Field: Materials Science — Materials Chemistry

The Roadmap of 2D Materials and Devices Toward Chips Due to the constraints imposed by physical effects and performance degradation, silicon-based chip technology is facing certain limitations in sustaining the advancement of Moore's law. Two-dimensional (2D) materials have emerged as highly promising candidates for the post-Moore era, offering significant potential in domains such as integrated circuits and next-generation computing. Here, in this review, the progress of 2D semiconductors in process engineering and various electronic applications are summarized. A careful introduction of material synthesis, transistor engineering focused on device configuration, dielectric engineering, contact engineering, and material integration are given first. Then 2D transistors for certain electronic applications including digital and analog circuits, heterogeneous integration chips, and sensing circuits are discussed. Moreover, several promising applications (artificial intelligence chips and quantum chips) based on specific mechanism devices are introduced. Finally, the challenges for 2D materials encountered in achieving circuit-level or system-level applications are analyzed, and potential development pathways or roadmaps are further speculated and outlooked. Transistor ; Integrated circuit ; Electronic circuit ; Computer science ; Digital electronics ; Process (computing) ; Electronic engineering ; Electronics ; Nanotechnology ; Electrical engineering ; Materials science ; Engineering 2D Materials and Applications ; MXene and MAX Phase Materials ; Ferroelectric and Negative Capacitance Devices
Authors: Yixin Han | Kunpeng Ruan | Xiaoyu He | Yusheng Tang | Hua Guo | Yongqiang Guo | Hua Qiu | Junwei Gu
Source: Angewandte Chemie International Edition (article, 2024-02-09)
Field: Materials Science — Materials Chemistry

Highly Thermally Conductive Aramid Nanofiber Composite Films with Synchronous Visible/Infrared Camouflages and Information Encryption The development of highly thermally conductive composites that combine visible light/infrared camouflage and information encryption has been endowed with great significance in facilitating the application of 5G communication technology in military fields. This work uses aramid nanofibers (ANF) as the matrix, hetero-structured silver nanowires@boron nitride nanosheets (AgNWs@BNNS) prepared by in situ growth as fillers, which are combined to fabricate sandwich structured thermally conductive and electrically insulating (BNNS/ANF)-(AgNWs@BNNS)-(BNNS/ANF) (denoted as BAB) composite films by "filtration self-assembly, air spraying, and hot-pressing" method. When the mass ratio of AgNWs@BNNS to BNNS is 1 : 1 and the total mass fraction is 50 wt %, BAB composite film has the maximum in-plane thermal conductivity coefficient (λ<sub>∥</sub> of 10.36 W/(m ⋅ K)), excellent electrical insulation (breakdown strength and volume resistivity of 41.5 kV/mm and 1.21×10<sup>15</sup> Ω ⋅ cm, respectively) and mechanical properties (tensile strength of 170.9 MPa). 50 wt % BAB composite film could efficiently reduce the equilibrium temperature of the central processing unit (CPU) working at full power, resulting in 7.0 °C lower than that of the CPU solely integrated with ANF directly. In addition, BAB composite film boasts adaptive visible light/infrared dual camouflage properties on cement roads and jungle environments, as well as the function of fast encryption of QR code information within 24 seconds. Materials science ; Nanofiber ; Composite number ; Composite material ; Electrical conductor ; Aramid ; Mass fraction ; Boron nitride ; Nanowire ; Thermal conductivity ; Nanotechnology ; Fiber Thermal properties of materials ; Thermal Radiation and Cooling Technologies ; Advanced Sensor and Energy Harvesting Materials
Authors: Saeid Mezail Mawazi | Mohit Kumar | Noraini Ahmad | Yi Ge | Syed Mahmood
Source: Polymers (article, 2024-05-10)
Field: Materials Science — Biomaterials

Recent Applications of Chitosan and Its Derivatives in Antibacterial, Anticancer, Wound Healing, and Tissue Engineering Fields Chitosan, a versatile biopolymer derived from chitin, has garnered significant attention in various biomedical applications due to its unique properties, such as biocompatibility, biodegradability, and mucoadhesiveness. This review provides an overview of the diverse applications of chitosan and its derivatives in the antibacterial, anticancer, wound healing, and tissue engineering fields. In antibacterial applications, chitosan exhibits potent antimicrobial properties by disrupting microbial membranes and DNA, making it a promising natural preservative and agent against bacterial infections. Its role in cancer therapy involves the development of chitosan-based nanocarriers for targeted drug delivery, enhancing therapeutic efficacy while minimising side effects. Chitosan also plays a crucial role in wound healing by promoting cell proliferation, angiogenesis, and regulating inflammatory responses. Additionally, chitosan serves as a multifunctional scaffold in tissue engineering, facilitating the regeneration of diverse tissues such as cartilage, bone, and neural tissue by promoting cell adhesion and proliferation. The extensive range of applications for chitosan in pharmaceutical and biomedical sciences is not only highlighted by the comprehensive scope of this review, but it also establishes it as a fundamental component for forthcoming research in biomedicine. Chitosan ; Tissue engineering ; Wound healing ; Biocompatibility ; Chitin ; Drug delivery ; Scaffold ; Angiogenesis ; Materials science ; Nanotechnology ; Chemistry ; Biomedical engineering ; Medicine ; Cancer research ; Surgery Nanocomposite Films for Food Packaging ; Electrospun Nanofibers in Biomedical Applications ; Silk-based biomaterials and applications
Authors: Chengcheng Feng | Yuting Wang | Jinghua Xu | Yaxin Zheng | Wenhu Zhou | Yuequan Wang | Cong Luo
Source: Pharmaceutics (article, 2024-12-11)
Field: Materials Science — Biomaterials

Precisely Tailoring Molecular Structure of Doxorubicin Prodrugs to Enable Stable Nanoassembly, Rapid Activation, and Potent Antitumor Effect These findings underscore the critical role of prodrug molecule design in the development of effective prodrug nanoassemblies. The balance between stability and drug release is pivotal for optimizing drug delivery and maximizing therapeutic efficacy. Prodrug ; Chemistry ; Drug ; In vivo ; Drug delivery ; Pharmacology ; Doxorubicin ; In vitro ; Biochemistry ; Chemotherapy ; Medicine ; Biology ; Organic chemistry ; Internal medicine Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; RNA Interference and Gene Delivery
Authors: Sonata Adomavičiu̅tė-Grabusovė | Anton Popov | Simonas Ramanavičius | Valdas Šablinskas | Kateryna Shevchuk | Oleksiy Gogotsi | Ivan Baginskiy | Yury Gogotsi | Arūnas Ramanavičius
Source: ACS Nano (article, 2024-05-06)
Field: Materials Science — Materials Chemistry

Monitoring Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene Degradation Pathways Using Raman Spectroscopy Extending applications of Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene in nanocomposites and across fields of electronics, energy storage, energy conversion, and sensor technologies necessitates simple and efficient analytical methods. Raman spectroscopy is a critical tool for assessing MXene composites; however, high laser powers and temperatures can lead to the materials' deterioration during the analysis. Therefore, an in-depth understanding of MXene photothermal degradation and changes in its oxidation state is required, but no systematic studies have been reported. The primary aim of this study was to investigate the degradation of the MXene lattice through Raman spectroscopic analysis. Distinct spectral markers were related to structural alterations within the Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> material after subjecting it to thermal- and laser-induced degradation. During the degradation processes, spectral markers were revealed for several specific steps: a decrease in the number of interlayer water molecules, a decrease in the number of -OH groups, formation of C-C bonds, oxidation of the lattice, and formation of TiO<sub>2</sub> nanoparticles (first anatase, followed by rutile). By tracking of position shifts and intensity changes for Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>, the spectral markers that signify the initiation of each step were found. This spectroscopic approach enhances our understanding of the degradation pathways of MXene, and facilitating enhanced and dependable integration of these materials into devices for diverse applications, from energy storage to sensors. Raman spectroscopy ; Materials science ; Anatase ; Rutile ; Degradation (telecommunications) ; Spectroscopy ; Nanocomposite ; Nanotechnology ; Nanoparticle ; Chemical engineering ; Chemistry ; Optics ; Photocatalysis ; Catalysis ; Computer science MXene and MAX Phase Materials ; 2D Materials and Applications ; Advanced Memory and Neural Computing
Authors: Paul Joyce | Christine Allen | Marı́a José Alonso | Marianne Ashford | Michelle S. Bradbury | Matthieu Germain | Maria Kavallaris | Róbert Langer | Twan Lammers | Maria Teresa Peracchia | Amirali Popat | Clive A. Prestidge | Cristianne J.F. Rijcken | Bruno Sarmento | Ruth Schmid | Avi Schroeder | Santhni Subramaniam | Chelsea R. Thorn | Kathryn A. Whitehead | Chun‐Xia Zhao | Hélder A. Santos
Source: Nature Nanotechnology (review, 2024-09-06)
Field: Materials Science — Biomaterials

A translational framework to DELIVER nanomedicines to the clinic Nanotechnology ; Translational research ; Computer science ; Medicine ; Data science ; Materials science ; Pathology Nanoparticle-Based Drug Delivery ; RNA Interference and Gene Delivery ; 3D Printing in Biomedical Research
Authors: Isabel Abánades Lázaro | Xu Chen | Mengli Ding | Arvin Eskandari | David Fairen‐Jiménez | Mónica Giménez‐Marqués | Ruxandra Gref | Wenbin Lin | Taokun Luo | Ross S. Forgan
Source: Nature Reviews Methods Primers (article, 2024-06-27)
Field: Chemistry — Inorganic Chemistry

Metal–organic frameworks for biological applications Metal-organic framework ; Environmental science ; Chemistry Metal-Organic Frameworks: Synthesis and Applications ; Advanced Nanomaterials in Catalysis ; Nanoplatforms for cancer theranostics
Authors: Yiru Xu | Qimanguli Saiding | Xue Zhou | Juan Wang | Wenguo Cui | Xinliang Chen
Source: Smart Medicine (review, 2024-02-01)
Field: Materials Science — Biomaterials

Electrospun fiber‐based immune engineering in regenerative medicine Immune engineering, a burgeoning field within regenerative medicine, involves a spectrum of strategies to optimize the intricate interplay between tissue regenerative biomaterials and the host tissue. These strategies are applied across different types of biomaterials and various disease models, which encompasses finely modulating the immune response at the levels of immune cells and factors, aiming to mitigate adverse effects like fibrosis and persistent inflammation that may arise at the injury site and consequently promote tissue regeneration. With the continuous progress in electrospinning technology, the immunoregulatory capabilities of electrospun fibers have gained substantial attention over the years. Electrospun fibers, with their extracellular matrix-like characteristics, high surface-area-to-volume ratio, and reliable pharmaceutical compound capacity, have emerged as key players among tissue engineering materials. This review specifically focuses on the role of electrospun fiber-based immune engineering, emphasizing their unique design strategies. Notably, electrospinning actively engages in immune engineering by modulating immune responses through four essential strategies: (i) surface modification, (ii) drug loading, (iii) physicochemical parameters, and (iv) biological grafting. This review presents a comprehensive overview of the intricate mechanisms of the immune system in injured tissues while unveiling the key strategies adopted by electrospun fibers to orchestrate immune regulation. Furthermore, the review explores the current developmental trends and limitations concerning the immunoregulatory function of electrospun fibers, aiming to drive the advancements in electrospun fiber-based immune engineering to its full potential. Regenerative medicine ; Immune system ; Tissue engineering ; Electrospinning ; Regeneration (biology) ; Nanotechnology ; Materials science ; Biomedical engineering ; Medicine ; Biology ; Immunology ; Stem cell ; Cell biology Electrospun Nanofibers in Biomedical Applications ; Tissue Engineering and Regenerative Medicine ; RNA Interference and Gene Delivery
Authors: Yuqi Feng | Huali Hao | Haibao Lu | Cheuk Lun Chow | Denvid Lau
Source: Composites Part B Engineering (review, 2024-03-08)
Field: Materials Science — Polymers and Plastics

Exploring the development and applications of sustainable natural fiber composites: A review from a nanoscale perspective Materials science ; Composite material ; Compatibility (geochemistry) ; Aerospace ; Nanoscopic scale ; Nanotechnology ; Automotive industry ; Natural fiber ; Fiber ; Mechanical engineering ; Computer science ; Engineering Natural Fiber Reinforced Composites ; Advanced Cellulose Research Studies ; Bamboo properties and applications
Authors: Anuja Bhargava | Ashish Sachdeva | Kulbhushan Sharma | Mohammed H. Alsharif | Peerapong Uthansakul | Monthippa Uthansakul
Source: Heliyon (review, 2024-06-01)
Field: Chemistry — Analytical Chemistry

Hyperspectral imaging and its applications: A review Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades. The modern remote sensing approaches are adequate for covering huge earth surfaces with phenomenal temporal, spectral, and spatial resolutions. These features make HSI more effective in various applications of remote sensing depending upon the physical estimation of identical material identification and manifold composite surfaces having accomplished spectral resolutions. Recently, HSI has attained immense significance in the research on safety and quality assessment of food, medical analysis, and agriculture applications. This review focuses on HSI fundamentals and its applications like safety and quality assessment of food, medical analysis, agriculture, water resources, plant stress identification, weed & crop discrimination, and flood management. Various investigators have promising solutions for automatic systems depending upon HSI. Future research may use this review as a baseline and future advancement analysis. Hyperspectral imaging ; Remote sensing ; Identification (biology) ; Computer science ; Precision agriculture ; Environmental science ; Data science ; Agriculture ; Geography Spectroscopy and Chemometric Analyses ; Remote-Sensing Image Classification ; Remote Sensing in Agriculture
Authors: Yeonghun Kang | Jihan Kim
Source: Nature Communications (article, 2024-06-03)
Field: Materials Science — Materials Chemistry

ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models ChatMOF is an artificial intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4, GPT-3.5-turbo, and GPT-3.5-turbo-16k), ChatMOF extracts key details from textual inputs and delivers appropriate responses, thus eliminating the necessity for rigid and formal structured queries. The system is comprised of three core components (i.e., an agent, a toolkit, and an evaluator) and it forms a robust pipeline that manages a variety of tasks, including data retrieval, property prediction, and structure generations. ChatMOF shows high accuracy rates of 96.9% for searching, 95.7% for predicting, and 87.5% for generating tasks with GPT-4. Additionally, it successfully creates materials with user-desired properties from natural language. The study further explores the merits and constraints of utilizing large language models (LLMs) in combination with database and machine learning in material sciences and showcases its transformative potential for future advancements. Computer science ; Variety (cybernetics) ; Pipeline (software) ; Key (lock) ; Artificial intelligence ; Property (philosophy) ; Transformative learning ; Natural language ; Machine learning ; Programming language Machine Learning in Materials Science ; Metal-Organic Frameworks: Synthesis and Applications ; X-ray Diffraction in Crystallography
Authors: Qingzhong Mao | Yanfang Liu | Yonghao Zhao
Source: Journal of Alloys and Compounds (review, 2024-04-09)
Field: Materials Science — Materials Chemistry

A review on copper alloys with high strength and high electrical conductivity Copper ; Electrical resistivity and conductivity ; Materials science ; Precipitation ; Metallurgy ; Microstructure ; Conductivity ; Strengthening mechanisms of materials ; Chemistry ; Physics ; Engineering ; Electrical engineering Microstructure and mechanical properties ; Aluminum Alloys Composites Properties ; Copper Interconnects and Reliability
Authors: Xiaohang Guo | Weikang Luo | Lingyu Wu | Lianglin Zhang | Yuxuan Chen | Teng Li | Haigang Li | Wei Zhang | Yawei Liu | Jun Zheng | Yang Wang
Source: Advanced Science (review, 2024-07-21)
Field: Materials Science — Biomaterials

Natural Products from Herbal Medicine Self‐Assemble into Advanced Bioactive Materials Novel biomaterials are becoming more crucial in treating human diseases. However, many materials require complex artificial modifications and synthesis, leading to potential difficulties in preparation, side effects, and clinical translation. Recently, significant progress has been achieved in terms of direct self-assembly of natural products from herbal medicine (NPHM), an important source for novel medications, resulting in a wide range of bioactive supramolecular materials including gels, and nanoparticles. The NPHM-based supramolecular bioactive materials are produced from renewable resources, are simple to prepare, and have demonstrated multi-functionality including slow-release, smart-responsive release, and especially possess powerful biological effects to treat various diseases. In this review, NPHM-based supramolecular bioactive materials have been revealed as an emerging, revolutionary, and promising strategy. The development, advantages, and limitations of NPHM, as well as the advantageous position of NPHM-based materials, are first reviewed. Subsequently, a systematic and comprehensive analysis of the self-assembly strategies specific to seven major classes of NPHM is highlighted. Insights into the influence of NPHM structural features on the formation of supramolecular materials are also provided. Finally, the drivers and preparations are summarized, emphasizing the biomedical applications, future scientific challenges, and opportunities, with the hope of igniting inspiration for future research and applications. Nanotechnology ; Supramolecular chemistry ; Biochemical engineering ; Computer science ; Materials science ; Chemistry ; Engineering Supramolecular Self-Assembly in Materials ; Polydiacetylene-based materials and applications ; Antimicrobial Peptides and Activities
Authors: Yutack Park | Jaesun Kim | Seungwoo Hwang | Seungwu Han
Source: Journal of Chemical Theory and Computation (preprint, 2024-05-30)
Field: Materials Science — Materials Chemistry

Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations Message-passing graph neural network interatomic potentials (GNN-IPs), particularly those with equivariant representations such as NequIP, are attracting significant attention due to their data efficiency and high accuracy. However, parallelizing GNN-IPs poses challenges because multiple message-passing layers complicate data communication within the spatial decomposition method, which is preferred by many molecular dynamics (MD) packages. In this article, we propose an efficient parallelization scheme compatible with GNN-IPs and develop a package, SevenNet (Scalable EquiVariance-Enabled Neural NETwork), based on the NequIP architecture. For MD simulations, SevenNet interfaces with the LAMMPS package. Through benchmark tests on a 32-GPU cluster with examples of SiO<sub>2</sub>, SevenNet achieves over 80% parallel efficiency in weak-scaling scenarios and exhibits nearly ideal strong-scaling performance as long as GPUs are fully utilized. However, the strong-scaling performance significantly declines with suboptimal GPU utilization, particularly affecting parallel efficiency in cases involving lightweight models or simulations with small numbers of atoms. We also pretrain SevenNet with a vast data set from the Materials Project (dubbed "SevenNet-0") and assess its performance on generating amorphous Si<sub>3</sub>N<sub>4</sub> containing more than 100,000 atoms. By developing scalable GNN-IPs, this work aims to bridge the gap between advanced machine-learning models and large-scale MD simulations, offering researchers a powerful tool to explore complex material systems with high accuracy and efficiency. Scalability ; Computer science ; Molecular dynamics ; Algorithm ; Artificial neural network ; Graph ; Interatomic potential ; Theoretical computer science ; Parallel computing ; Statistical physics ; Artificial intelligence ; Physics ; Computational chemistry ; Chemistry Machine Learning in Materials Science