jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Anurag Yadav | Kusum Yadav | Rumana Ahmad | Kamel A. Abd–Elsalam
Source: Agrochemicals (article, 2023-05-31)
Field: Materials Science — Materials Chemistry

Emerging Frontiers in Nanotechnology for Precision Agriculture: Advancements, Hurdles and Prospects This review article provides an extensive overview of the emerging frontiers of nanotechnology in precision agriculture, highlighting recent advancements, hurdles, and prospects. The benefits of nanotechnology in this field include the development of advanced nanomaterials for enhanced seed germination and micronutrient supply, along with the alleviation of biotic and abiotic stress. Further, nanotechnology-based fertilizers and pesticides can be delivered in lower dosages, which reduces environmental impacts and human health hazards. Another significant advantage lies in introducing cutting-edge nanodiagnostic systems and nanobiosensors that monitor soil quality parameters, plant diseases, and stress, all of which are critical for precision agriculture. Additionally, this technology has demonstrated potential in reducing agro-waste, synthesizing high-value products, and using methods and devices for tagging, monitoring, and tracking agroproducts. Alongside these developments, cloud computing and smartphone-based biosensors have emerged as crucial data collection and analysis tools. Finally, this review delves into the economic, legal, social, and risk implications of nanotechnology in agriculture, which must be thoroughly examined for the technology’s widespread adoption. Nanotechnology ; Emerging technologies ; Agriculture ; Risk analysis (engineering) ; Applications of nanotechnology ; Societal impact of nanotechnology ; Agrochemical ; Computer science ; Biotechnology ; Engineering ; Environmental science ; Biochemical engineering ; Business ; Materials science ; Biology ; Ecology Nanoparticles: synthesis and applications ; Graphene and Nanomaterials Applications ; Microplastics and Plastic Pollution
Authors: Gabriel Merino | Miquel Solà | Israel Fernández | Cina Foroutan‐Nejad | Paolo Lazzeretti | Gernot Frenking | Harry L. Anderson | Dage Sundholm | Fernando P. Cossío | Marina A. Petrukhina | Jishan Wu | Judy I. Wu | Albeiro Restrepo
Source: Chemical Science (review, 2023-01-01)
Field: Chemistry — Organic Chemistry

Aromaticity: Quo Vadis Aromaticity is one of the most deeply rooted concepts in chemistry. But why, if two-thirds of existing compounds can be classified as aromatic, is there no consensus on what aromaticity is? σ-, π-, δ-, spherical, Möbius, or all-metal aromaticity… why are so many attributes needed to specify a property? Is aromaticity a dubious concept? This perspective aims to reflect where the aromaticity community is and where it is going. Aromaticity ; Status quo ; Psychology ; Chemistry ; Political science ; Organic chemistry ; Molecule Synthesis and Properties of Aromatic Compounds ; Graph theory and applications ; Fullerene Chemistry and Applications
Authors: Xin Liu | Alei Dang | Tiehu Li | Yiting Sun | Tung‐Chun Lee | Weibin Deng | Shaoheng Wu | Amir Zada | Tingkai Zhao | Hao Li
Source: ACS Sensors (article, 2023-03-03)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Plasmonic Coupling of Au Nanoclusters on a Flexible MXene/Graphene Oxide Fiber for Ultrasensitive SERS Sensing High sensitivity, good signal repeatability, and facile fabrication of flexible surface enhanced Raman scattering (SERS) substrates are common pursuits of researchers for the detection of probe molecules in a complex environment. However, fragile adhesion between the noble-metal nanoparticles and substrate material, low selectivity, and complex fabrication process on a large scale limit SERS technology for wide-ranging applications. Herein, we propose a scalable and cost-effective strategy to a fabricate sensitive and mechanically stable flexible Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene@graphene oxide/Au nanoclusters (MG/AuNCs) fiber SERS substrate from wet spinning and subsequent in situ reduction processes. The use of MG fiber provides good flexibility (114 MPa) and charge transfer enhancement (chemical mechanism, CM) for a SERS sensor and allows further in situ growth of AuNCs on its surface to build highly sensitive hot spots (electromagnetic mechanism, EM), promoting the durability and SERS performance of the substrate in complex environments. Therefore, the formed flexible MG/AuNCs-1 fiber exhibits a low detection limit of 1 × 10<sup>-11</sup> M with a 2.01 × 10<sup>9</sup> enhancement factor (EF<sub>exp</sub>), signal repeatability (RSD = 9.80%), and time retention (remains 75% after 90 days of storage) for R6G molecules. Furthermore, the l-cysteine-modified MG/AuNCs-1 fiber realized the trace and selective detection of trinitrotoluene (TNT) molecules (0.1 μM) via Meisenheimer complex formation, even by sampling the TNT molecules at a fingerprint or sample bag. These findings fill the gap in the large-scale fabrication of high-performance 2D materials/precious-metal particle composite SERS substrates, with the expectation of pushing flexible SERS sensors toward wider applications. Nanoclusters ; Graphene ; Plasmon ; Materials science ; Nanotechnology ; Oxide ; Coupling (piping) ; Fiber ; Optoelectronics ; Composite material Gold and Silver Nanoparticles Synthesis and Applications ; Nanocluster Synthesis and Applications ; Advanced Nanomaterials in Catalysis
Authors: Guillermo Moreno‐Alcántar | Pierre Picchetti | Angela Casini
Source: Angewandte Chemie International Edition (review, 2023-02-27)
Field: Materials Science — Biomaterials

Gold Complexes in Anticancer Therapy: From New Design Principles to Particle‐Based Delivery Systems The discovery of the medicinal properties of gold complexes has fuelled the design and synthesis of new anticancer metallodrugs, which have received special attention due to their unique modes of action. Current research in the development of gold compounds with therapeutic properties is predominantly focused on the molecular design of drug leads with superior pharmacological activities, e.g., by introducing targeting features. Moreover, intensive research aims at improving the physicochemical properties of gold compounds, such as chemical stability and solubility in the physiological environment. In this regard, the encapsulation of gold compounds in nanocarriers or their chemical grafting onto targeted delivery vectors could lead to new nanomedicines that eventually reach clinical applications. Herein, we provide an overview of the state-of-the-art progress of gold anticancer compounds, andmore importantly we thoroughly revise the development of nanoparticle-based delivery systems for gold chemotherapeutics. Delivery system ; Nanotechnology ; Medicine ; Materials science ; Pharmacology Nanoparticle-Based Drug Delivery ; Nanocluster Synthesis and Applications ; Gold and Silver Nanoparticles Synthesis and Applications
Authors: Lin Tang | Kunpeng Ruan | Xi Liu | Yusheng Tang | Yali Zhang | Junwei Gu
Source: Nano-Micro Letters (article, 2023-11-30)
Field: Materials Science — Materials Chemistry

Flexible and Robust Functionalized Boron Nitride/Poly(p-Phenylene Benzobisoxazole) Nanocomposite Paper with High Thermal Conductivity and Outstanding Electrical Insulation With the rapid development of 5G information technology, thermal conductivity/dissipation problems of highly integrated electronic devices and electrical equipment are becoming prominent. In this work, "high-temperature solid-phase & diazonium salt decomposition" method is carried out to prepare benzidine-functionalized boron nitride (m-BN). Subsequently, m-BN/poly(p-phenylene benzobisoxazole) nanofiber (PNF) nanocomposite paper with nacre-mimetic layered structures is prepared via sol-gel film transformation approach. The obtained m-BN/PNF nanocomposite paper with 50 wt% m-BN presents excellent thermal conductivity, incredible electrical insulation, outstanding mechanical properties and thermal stability, due to the construction of extensive hydrogen bonds and π-π interactions between m-BN and PNF, and stable nacre-mimetic layered structures. Its λ<sub>∥</sub> and λ<sub>⊥</sub> are 9.68 and 0.84 W m<sup>-1</sup> K<sup>-1</sup>, and the volume resistivity and breakdown strength are as high as 2.3 × 10<sup>15</sup> Ω cm and 324.2 kV mm<sup>-1</sup>, respectively. Besides, it also presents extremely high tensile strength of 193.6 MPa and thermal decomposition temperature of 640 °C, showing a broad application prospect in high-end thermal management fields such as electronic devices and electrical equipment. Materials science ; Boron nitride ; Nanocomposite ; Thermal stability ; Poly(p-phenylene) ; Composite material ; Thermal decomposition ; Thermal conductivity ; Ultimate tensile strength ; Electrical resistivity and conductivity ; Aramid ; Polymer ; Chemical engineering ; Electrical engineering Thermal properties of materials ; Graphene research and applications ; Advanced Sensor and Energy Harvesting Materials
Authors: Pralhad Pesode | Shivprakash Barve
Source: Journal of Engineering and Applied Science (article, 2023-04-17)
Field: Materials Science — Materials Chemistry

A review—metastable β titanium alloy for biomedical applications Abstract Titanium and its alloys have already been widely used as implant materials due to their outstanding mechanical characteristics and biocompatibility. Notwithstanding this, researchers and businesses alike have continued to actively pursue superior alloys since there are still problems which need urgent consideration. One of these is a noteworthy difference in the implant material’s elastics modulus and that of natural bone, which result into an issue of stress shielding. With prolonged use Ti alloys releases dangerous ions. The Ti alloy surface has a low bioactivity, which prolongs the healing process. β-Ti alloys could be used as viable alternatives when creating dental implants. Additionally, β-Ti alloys characteristics, such as low Young modulus, increased strength, appropriate biocompatibility, and strong abrasion and corrosion resistance, serve as the necessary evidence. Ti alloys when altered structurally, chemically, and by thermomechanical treatment thereby enabling the creation of material which can match the requirements of a various clinical practise scenarios. Additional research is needed which can focused on identifying next century Ti alloys consisting of some more compatible phase and transforming the Ti alloys surface from intrinsically bioinert to bioactive to prevent different issues. In order to give scientific support for adopting β-Ti-based alloys as an alternative to cpTi, this paper evaluates the information currently available on the chemical, mechanical, biological, and electrochemical properties of key β-titanium alloys designed from the past few years. This article is also focusing on β-titanium alloy, its properties and performance over other type of titanium alloy such as α titanium alloys. However, in-vivo research is needed to evaluate novel β titanium alloys to support their use as cpTi alternatives. Materials science ; Biocompatibility ; Titanium alloy ; Titanium ; Corrosion ; Alloy ; Metallurgy ; Stress shielding ; Context (archaeology) ; Implant Titanium Alloys Microstructure and Properties ; Orthopaedic implants and arthroplasty ; Bone Tissue Engineering Materials
Authors: Zhizhi Sheng | Zengwei Liu | Yinglai Hou | Haotian Jiang | Yuzhen Li | Guangyong Li | Xuetong Zhang
Source: Advanced Science (review, 2023-01-19)
Field: Chemistry — Spectroscopy

The Rising Aerogel Fibers: Status, Challenges, and Opportunities Aerogel fibers garner tremendous scientific interest due to their unique properties such as ultrahigh porosity, large specific surface area, and ultralow thermal conductivity, enabling diverse potential applications in textile, environment, energy conversion and storage, and high-tech areas. Here, the fabrication methodologies to construct the aerogel fibers starting from nanoscale building blocks are overviewed, and the spinning thermodynamics and spinning kinetics associated with each technology are revealed. The huge pool of material choices that can be assembled into aerogel fibers is discussed. Furthermore, the fascinating properties of aerogel fibers, including mechanical, thermal, sorptive, optical, and fire-retardant properties are elaborated on. Next, the nano-confining functionalization strategy for aerogel fibers is particularly highlighted, touching upon the driving force for liquid encapsulation, solid-liquid interface adhesion, and interfacial stability. In addition, emerging applications in thermal management, smart wearable fabrics, water harvest, shielding, heat transfer devices, artificial muscles, and information storage, are discussed. Last, the existing challenges in the development of aerogel fibers are pointed out and light is shed on the opportunities in this burgeoning field. Aerogel ; Materials science ; Business ; Nanotechnology Aerogels and thermal insulation ; Surface Modification and Superhydrophobicity ; Advanced Sensor and Energy Harvesting Materials
Authors: Zicheng Shen | Feng Zhao | Chunqi Jin | Shuai Wang | Liangcai Cao | Yuanmu Yang
Source: Nature Communications (article, 2023-02-23)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Monocular metasurface camera for passive single-shot 4D imaging It is a grand challenge for an imaging system to simultaneously obtain multi-dimensional light field information, such as depth and polarization, of a scene for the accurate perception of the physical world. However, such a task would conventionally require bulky optical components, time-domain multiplexing, and active laser illumination. Here, we experimentally demonstrate a compact monocular camera equipped with a single-layer metalens that can capture a 4D image, including 2D all-in-focus intensity, depth, and polarization of a target scene in a single shot under ambient illumination conditions. The metalens is optimized to have a conjugate pair of polarization-decoupled rotating single-helix point-spread functions that are strongly dependent on the depth of the target object. Combined with a straightforward, physically interpretable image retrieval algorithm, the camera can simultaneously perform high-accuracy depth sensing and high-fidelity polarization imaging over an extended depth of field for both static and dynamic scenes in both indoor and outdoor environments. Such a compact multi-dimensional imaging system could enable new applications in diverse areas ranging from machine vision to microscopy. Computer vision ; Computer science ; Depth of field ; Artificial intelligence ; Optics ; Single shot ; Polarization (electrochemistry) ; Monocular ; Multiplexing ; Field of view ; Physics Metamaterials and Metasurfaces Applications ; Orbital Angular Momentum in Optics ; Random lasers and scattering media
Authors: Muhammad Norhaffis Mustafa | Muhammad Amirul Aizat Mohd Abdah | Arshid Numan | Alejandro Moreno-Rangel | Amr Radwan | Mohammad Khalid
Source: Renewable and Sustainable Energy Reviews (review, 2023-05-12)
Field: Materials Science — Polymers and Plastics

Smart window technology and its potential for net-zero buildings: A review Electrochromism ; Energy consumption ; Architectural engineering ; Window (computing) ; Commercialization ; Smart material ; Computer science ; Building automation ; Engineering ; Electrical engineering ; Nanotechnology ; Operating system ; Business ; Materials science Transition Metal Oxide Nanomaterials ; Gas Sensing Nanomaterials and Sensors ; Conducting polymers and applications
Authors: Yue Liu | Zhengwei Yang | Xinxin Zou | Shuchang Ma | Dahui Liu | Maxim Avdeev | Siqi Shi
Source: National Science Review (article, 2023-05-01)
Field: Materials Science — Materials Chemistry

Data quantity governance for machine learning in materials science Data-driven machine learning (ML) is widely employed in the analysis of materials structure-activity relationships, performance optimization and materials design due to its superior ability to reveal latent data patterns and make accurate prediction. However, because of the laborious process of materials data acquisition, ML models encounter the issue of the mismatch between a high dimension of feature space and a small sample size (for traditional ML models) or the mismatch between model parameters and sample size (for deep-learning models), usually resulting in terrible performance. Here, we review the efforts for tackling this issue via feature reduction, sample augmentation and specific ML approaches, and show that the balance between the number of samples and features or model parameters should attract great attention during data quantity governance. Following this, we propose a synergistic data quantity governance flow with the incorporation of materials domain knowledge. After summarizing the approaches to incorporating materials domain knowledge into the process of ML, we provide examples of incorporating domain knowledge into governance schemes to demonstrate the advantages of the approach and applications. The work paves the way for obtaining the required high-quality data to accelerate materials design and discovery based on ML. Computer science ; Process (computing) ; Sample (material) ; Corporate governance ; Feature (linguistics) ; Domain (mathematical analysis) ; Dimension (graph theory) ; Domain knowledge ; Machine learning ; Quality (philosophy) ; Artificial intelligence ; Dimensionality reduction ; Data mining ; Space (punctuation) ; Sample space ; Data science ; Mathematics Machine Learning in Materials Science ; Computational Drug Discovery Methods ; X-ray Diffraction in Crystallography
Authors: Changwen Xu | Yuyang Wang | Amir Barati Farimani
Source: npj Computational Materials (article, 2023-04-22)
Field: Materials Science — Materials Chemistry

TransPolymer: a Transformer-based language model for polymer property predictions Abstract Accurate and efficient prediction of polymer properties is of great significance in polymer design. Conventionally, expensive and time-consuming experiments or simulations are required to evaluate polymer functions. Recently, Transformer models, equipped with self-attention mechanisms, have exhibited superior performance in natural language processing. However, such methods have not been investigated in polymer sciences. Herein, we report TransPolymer, a Transformer-based language model for polymer property prediction. Our proposed polymer tokenizer with chemical awareness enables learning representations from polymer sequences. Rigorous experiments on ten polymer property prediction benchmarks demonstrate the superior performance of TransPolymer. Moreover, we show that TransPolymer benefits from pretraining on large unlabeled dataset via Masked Language Modeling. Experimental results further manifest the important role of self-attention in modeling polymer sequences. We highlight this model as a promising computational tool for promoting rational polymer design and understanding structure-property relationships from a data science view. Polymer ; Transformer ; Computer science ; Property (philosophy) ; Artificial intelligence ; Biological system ; Materials science ; Electrical engineering ; Engineering Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Protein Structure and Dynamics
Authors: Daniele Rocco | Vyali Georgian Moldoveanu | Marta Feroci | Martina Bortolami | Fabrizio Vetica
Source: ChemElectroChem (review, 2023-01-11)
Field: Materials Science — Materials Chemistry

Electrochemical Synthesis of Carbon Quantum Dots Carbon quantum dots (CDs) are "small" carbon nanostructures with excellent photoluminescence properties, together with low-toxicity, high biocompatibility, excellent dispersibility in water as well as organic solvents. Due to their characteristics, CDs have been studied for a plethora of applications as biosensors, luminescent probes for photodynamic and photothermal therapy, fluorescent inks and many more. Moreover, the possibility to obtain carbon dots from biomasses and/or organic waste has strongly promoted the interest in this class of carbon-based nanoparticles, having a promising impact in the view of circular economy and sustainable processes. Within this context, electrochemistry proved to be a green, practical, and efficient method for the synthesis of high-quality CDs, with the possibility to fine-tune their characteristics by changing operational parameters. This review outlines the principal and most recent advances in the electrochemical synthesis of CDs, focusing on the electrochemical set-up optimization. Nanotechnology ; Photoluminescence ; Biocompatibility ; Context (archaeology) ; Materials science ; Electrochemistry ; Carbon fibers ; Photothermal therapy ; Quantum dot ; Carbon quantum dots ; Nanoparticle ; Fluorescence ; Luminescence ; Chemistry ; Optoelectronics ; Electrode ; Physics ; Composite number Carbon and Quantum Dots Applications ; Quantum Dots Synthesis And Properties ; Nanocluster Synthesis and Applications
Authors: Catarina Pacheco | Ana Baião | Tao Ding | Wenguo Cui | Bruno Sarmento
Source: Advanced Drug Delivery Reviews (review, 2023-02-04)
Field: Materials Science — Biomaterials

Recent advances in long-acting drug delivery systems for anticancer drug The use of systemic anticancer chemotherapy is intrinsically limited by its toxicity. Whether dealing with small molecules or biopharmaceuticals, after systemic administration, small doses fail to reach effective intratumoral concentrations, while high doses with significant tumor inhibition effects may also drive the death of healthy cells, endangering the patients. Therefore, strategies based on drug delivery systems (DDSs) for avoiding the systemic toxicity have been designed. Due to their ability to protect drugs from early elimination and control drug release, DDSs can foster tumor exposure to anticancer therapeutics by extending their circulation time or steadily releasing drugs into the tumor sites. However, approval of tailored DDSs systems for clinical use is minimal as the safety and the in vivo activity still need to be ameliorated by manipulating their physicochemical characteristics. During the last few years, several strategies have been described to improve their safety, stability, and fine-tune pharmaceuticals release kinetics. Herein, we reviewed the main DDSs, namely polymeric conjugates, nano or microparticles, hydrogels, and microneedles, explored for long-acting anticancer treatments, highlighting recently proposed modifications and their potential advantages for different anticancer therapies. Additionally, important limitations of long-acting anticancer therapies and future technology directions were also covered. Drug ; Drug delivery ; Pharmacology ; Systemic circulation ; Medicine ; Anticancer drug ; Toxicity ; Systemic administration ; In vivo ; Nanotechnology ; Internal medicine ; Biology ; Materials science Nanoparticle-Based Drug Delivery ; Advanced Drug Delivery Systems ; Advancements in Transdermal Drug Delivery