jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Kaijie Gong | Yanmeng Peng | An Liu | Shuhua Qi | Hua Qiu
Source: Composites Part A Applied Science and Manufacturing (article, 2023-10-14)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Ultrathin carbon layer coated MXene/PBO nanofiber films for excellent electromagnetic interference shielding and thermal stability Materials science ; Electromagnetic shielding ; Composite material ; Composite number ; Thermal stability ; Electrical conductor ; Carbon black ; Thermal conductivity ; Ultimate tensile strength ; Polymer ; EMI ; Annealing (glass) ; Nanofiber ; Electromagnetic interference ; Chemical engineering ; Electronic engineering ; Natural rubber Electromagnetic wave absorption materials ; MXene and MAX Phase Materials ; Graphene research and applications
Authors: Zhiling Zheng | Zichao Rong | Nakul Rampal | Christian Borgs | Jennifer Chayes | Omar M. Yaghi
Source: Angewandte Chemie International Edition (article, 2023-10-05)
Field: Chemistry — Inorganic Chemistry

A GPT‐4 Reticular Chemist for Guiding MOF Discovery** We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human researcher. This GPT-4 Reticular Chemist is an integrated system composed of three phases. Each of these utilizes GPT-4 in various capacities, wherein GPT-4 provides detailed instructions for chemical experimentation and the human provides feedback on the experimental outcomes, including both success and failures, for the in-context learning of AI in the next iteration. This iterative human-AI interaction enabled GPT-4 to learn from the outcomes, much like an experienced chemist, by a prompt-learning strategy. Importantly, the system is based on natural language for both development and operation, eliminating the need for coding skills, and thus, make it accessible to all chemists. Our collaboration with GPT-4 Reticular Chemist guided the discovery of an isoreticular series of MOFs, with each synthesis fine-tuned through iterative feedback and expert suggestions. This workflow presents a potential for broader applications in scientific research by harnessing the capability of large language models like GPT-4 to enhance the feasibility and efficiency of research activities. Chemist ; Reticular connective tissue ; Chemistry ; Drug discovery ; Organic chemistry ; Medicine ; Biochemistry ; Anatomy Metal-Organic Frameworks: Synthesis and Applications ; Advanced Nanomaterials in Catalysis ; Advanced biosensing and bioanalysis techniques
Authors: Marco Giuseppe Giordano | Giulia Seganti | Mattia Bartoli | Alberto Tagliaferro
Source: Molecules (review, 2023-03-19)
Field: Materials Science — Materials Chemistry

An Overview on Carbon Quantum Dots Optical and Chemical Features Carbon quantum dots are the materials of a new era with astonishing properties such as high photoluminescence, chemical tuneability and high biocompatibility. Since their discovery, carbon quantum dots have been described as nanometric high-fluorescent carbon nanoparticles, but this definition has become weaker year after year. Nowadays, the classification and the physical explanation of carbon quantum dots optical properties and their chemical structure remain matter of debate. In this review, we provide a clear discussion on these points, providing a starting point for the rationalization of their classification and a comprehensive view on the optical and chemical features of carbon quantum dots. Quantum dot ; Carbon quantum dots ; Photoluminescence ; Nanotechnology ; Carbon fibers ; Quantum chemical ; Carbon Nanoparticles ; Rationalization (economics) ; Materials science ; Biocompatibility ; Nanoparticle ; Physics ; Optoelectronics ; Quantum mechanics ; Molecule ; Composite material Carbon and Quantum Dots Applications ; Nanocluster Synthesis and Applications ; Graphene and Nanomaterials Applications
Authors: Pawel Poznanski | Amir Hameed | Wacław Orczyk
Source: Molecules (review, 2023-03-27)
Field: Materials Science — Biomaterials

Chitosan and Chitosan Nanoparticles: Parameters Enhancing Antifungal Activity Chitosan (CS), a biopolymer derived from chitin, is known for strong antifungal activity while being biodegradable, biocompatible, and non-toxic. Because of its characteristic it has been widely used in control of fungal pathogens. Antifungal activity of chitosan can be further enhanced by obtaining chitosan nanoparticles (CSNPs). However, most of the experiments using CS and CSNPs as antifungal agents were performed under various conditions and using diverse CS batches of different characteristics and obtained from different sources. Therefore, it is essential to systematize the available information. This work contains a current review on how the CS parameters: molecular weight, degree of deacetylation, acetylation pattern and dispersity of these features shape its antifungal activity. It also considers how concentration and protonation (pH) of CS water solutions define final biological effect. Review explains in detail how CS parameters affect characteristics of CSNPs, particle size, zeta potential, and dispersities of both and determine antifungal activity. In addition to the parameters of CS and CSNPs, the review also discusses the possible characteristics of fungal cells that determine their susceptibility to the substances. The response of fungi to CS and CSNPs varies according to different fungal species and their stages of development. The precise knowledge of how CS and CSNP parameters affect specific fungal pathogens will help design and optimize environmentally friendly plant protection strategies against fungi. Chitosan ; Antifungal ; Chitin ; Biopolymer ; Chemistry ; Dispersity ; Zeta potential ; Polysaccharide ; Nanoparticle ; Nanotechnology ; Microbiology ; Biology ; Materials science ; Biochemistry ; Organic chemistry ; Polymer Nanocomposite Films for Food Packaging ; Nanoparticles: synthesis and applications
Authors: Reshma Beeram | Kameswara Rao Vepa | S. Venugopal Rao
Source: Biosensors (review, 2023-02-27)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS's full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience. Nanotechnology ; Computer science ; Identification (biology) ; Plasmon ; Instrumentation (computer programming) ; Biosensor ; Surface-enhanced Raman spectroscopy ; Artificial intelligence ; Data science ; Raman scattering ; Materials science ; Physics ; Raman spectroscopy ; Biology ; Optics Gold and Silver Nanoparticles Synthesis and Applications ; Biosensors and Analytical Detection ; Advanced biosensing and bioanalysis techniques
Authors: Minxiang Zeng | Yipu Du | Qiang Jiang | Nicholas Kempf | Chen Wei | Miles V. Bimrose | A. N. M. Tanvir | Hengrui Xu | Jiahao Chen | Dylan J. Kirsch | Joshua Martin | Brian C. Wyatt | T. Hayashi | Mortaza Saeidi‐Javash | Hirotaka Sakaue | Babak Anasori | Lihua Jin | Michael D McMurtrey | Yanliang Zhang
Source: Nature (article, 2023-05-10)
Field: Materials Science — Materials Chemistry

High-throughput printing of combinatorial materials from aerosols The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean energy and environmental sustainability. However, materials discovery and optimization have been a frustratingly slow process. The Edisonian trial-and-error process is time consuming and resource inefficient, particularly when contrasted with vast materials design spaces<sup>1</sup>. Whereas traditional combinatorial deposition methods can generate material libraries<sup>2,3</sup>, these suffer from limited material options and inability to leverage major breakthroughs in nanomaterial synthesis. Here we report a high-throughput combinatorial printing method capable of fabricating materials with compositional gradients at microscale spatial resolution. In situ mixing and printing in the aerosol phase allows instantaneous tuning of the mixing ratio of a broad range of materials on the fly, which is an important feature unobtainable in conventional multimaterials printing using feedstocks in liquid-liquid or solid-solid phases<sup>4-6</sup>. We demonstrate a variety of high-throughput printing strategies and applications in combinatorial doping, functional grading and chemical reaction, enabling materials exploration of doped chalcogenides and compositionally graded materials with gradient properties. The ability to combine the top-down design freedom of additive manufacturing with bottom-up control over local material compositions promises the development of compositionally complex materials inaccessible via conventional manufacturing approaches. Process engineering ; 3D printing ; Throughput ; Nanotechnology ; Microscale chemistry ; Computer science ; Leverage (statistics) ; Microfluidics ; Material efficiency ; Materials science ; Nanomaterials ; Engineering ; Artificial intelligence Quantum Dots Synthesis And Properties ; Additive Manufacturing and 3D Printing Technologies ; Advanced Photocatalysis Techniques
Authors: Mourad Kharbach | Mohammed Alaoui Mansouri | Mohammed Taabouz | Huiwen Yu
Source: Foods (review, 2023-07-19)
Field: Chemistry — Analytical Chemistry

Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches In today's era of increased food consumption, consumers have become more demanding in terms of safety and the quality of products they consume. As a result, food authorities are closely monitoring the food industry to ensure that products meet the required standards of quality. The analysis of food properties encompasses various aspects, including chemical and physical descriptions, sensory assessments, authenticity, traceability, processing, crop production, storage conditions, and microbial and contaminant levels. Traditionally, the analysis of food properties has relied on conventional analytical techniques. However, these methods often involve destructive processes, which are laborious, time-consuming, expensive, and environmentally harmful. In contrast, advanced spectroscopic techniques offer a promising alternative. Spectroscopic methods such as hyperspectral and multispectral imaging, NMR, Raman, IR, UV, visible, fluorescence, and X-ray-based methods provide rapid, non-destructive, cost-effective, and environmentally friendly means of food analysis. Nevertheless, interpreting spectroscopy data, whether in the form of signals (fingerprints) or images, can be complex without the assistance of statistical and innovative chemometric approaches. These approaches involve various steps such as pre-processing, exploratory analysis, variable selection, regression, classification, and data integration. They are essential for extracting relevant information and effectively handling the complexity of spectroscopic data. This review aims to address, discuss, and examine recent studies on advanced spectroscopic techniques and chemometric tools in the context of food product applications and analysis trends. Furthermore, it focuses on the practical aspects of spectral data handling, model construction, data interpretation, and the general utilization of statistical and chemometric methods for both qualitative and quantitative analysis. By exploring the advancements in spectroscopic techniques and their integration with chemometric tools, this review provides valuable insights into the potential applications and future directions of these analytical approaches in the food industry. It emphasizes the importance of efficient data handling, model development, and practical implementation of statistical and chemometric methods in the field of food analysis. Traceability ; Chemometrics ; Multispectral image ; Hyperspectral imaging ; Computer science ; Context (archaeology) ; Biochemical engineering ; Food quality ; Quality (philosophy) ; Food products ; Process engineering ; Data mining ; Data science ; Machine learning ; Artificial intelligence ; Engineering ; Chemistry ; Food science Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Advanced Chemical Sensor Technologies
Authors: David W. Burke | Zhiwei Jiang | Andrew G. Livingston | William R. Dichtel
Source: Advanced Materials (review, 2023-04-04)
Field: Materials Science — Materials Chemistry

2D Covalent Organic Framework Membranes for Liquid‐Phase Molecular Separations: State of the Field, Common Pitfalls, and Future Opportunities 2D covalent organic frameworks (2D COFs) are attractive candidates for next-generation membranes due to their robust linkages and uniform, tunable pores. Many publications have claimed to achieve selective molecular transport through COF pores, but reported performance metrics for similar networks vary dramatically, and in several cases the reported experiments are inadequate to support such conclusions. These issues require a reevaluation of the literature. Published examples of 2D COF membranes for liquid-phase separations can be broadly divided into two categories, each with common performance characteristics: polycrystalline COF films (most >1 µm thick) and weakly crystalline or amorphous films (most <500 nm thick). Neither category has demonstrated consistent relationships between the designed COF pore structure and separation performance, suggesting that these imperfect materials do not sieve molecules through uniform pores. In this perspective, rigorous practices for evaluating COF membrane structures and separation performance are described, which will facilitate their development toward molecularly precise membranes capable of performing previously unrealized chemical separations. In the absence of this more rigorous standard of proof, reports of COF-based membranes should be treated with skepticism. As methods to control 2D polymerization improve, precise 2D polymer membranes may exhibit exquisite and energy efficient performance relevant for contemporary separation challenges. Materials science ; Membrane ; Covalent bond ; Field (mathematics) ; Phase (matter) ; Nanotechnology ; Chemical physics ; State (computer science) ; Organic chemistry ; Computer science ; Physics ; Chemistry Covalent Organic Framework Applications ; Membrane Separation and Gas Transport ; Metal-Organic Frameworks: Synthesis and Applications
Authors: Manman Xu | Xinpu Han | Hongtai Xiong | Yijie Gao | Bowen Xu | Guanghui Zhu | Jie Li
Source: Molecules (review, 2023-06-30)
Field: Materials Science — Biomaterials

Cancer Nanomedicine: Emerging Strategies and Therapeutic Potentials Cancer continues to pose a severe threat to global health, making pursuing effective treatments more critical than ever. Traditional therapies, although pivotal in managing cancer, encounter considerable challenges, including drug resistance, poor drug solubility, and difficulties targeting tumors, specifically limiting their overall efficacy. Nanomedicine's application in cancer therapy signals a new epoch, distinguished by the improvement of the specificity, efficacy, and tolerability of cancer treatments. This review explores the mechanisms and advantages of nanoparticle-mediated drug delivery, highlighting passive and active targeting strategies. Furthermore, it explores the transformative potential of nanomedicine in tumor therapeutics, delving into its applications across various treatment modalities, including surgery, chemotherapy, immunotherapy, radiotherapy, photodynamic and photothermal therapy, gene therapy, as well as tumor diagnosis and imaging. Meanwhile, the outlook of nanomedicine in tumor therapeutics is discussed, emphasizing the need for addressing toxicity concerns, improving drug delivery strategies, enhancing carrier stability and controlled release, simplifying nano-design, and exploring novel manufacturing technologies. Overall, integrating nanomedicine in cancer treatment holds immense potential for revolutionizing cancer therapeutics and improving patient outcomes. Nanomedicine ; Cancer ; Medicine ; Nanotechnology ; Internal medicine ; Materials science ; Nanoparticle Nanoparticle-Based Drug Delivery ; Graphene and Nanomaterials Applications ; Nanoplatforms for cancer theranostics
Authors: Hengyu Lin | Yihao Yang | Yu‐Chuan Hsu | Jiaqi Zhang | Claire Welton | Ibukun Afolabi | Marshal Loo | Hong‐Cai Zhou
Source: Advanced Materials (review, 2023-01-24)
Field: Chemistry — Inorganic Chemistry

Metal–Organic Frameworks for Water Harvesting and Concurrent Carbon Capture: A Review for Hygroscopic Materials As water scarcity becomes a pending global issue, hygroscopic materials prove a significant solution. Thus, there is a good cause following the structure-performance relationship to review the recent development of hygroscopic materials and provide inspirational insight into creative materials. Herein, traditional hygroscopic materials, crystalline frameworks, polymers, and composite materials are reviewed. The similarity in working conditions of water harvesting and carbon capture makes simultaneously addressing water shortages and reduction of greenhouse effects possible. Concurrent water harvesting and carbon capture is likely to become a future challenge. Therefore, an emphasis is laid on metal-organic frameworks (MOFs) for their excellent performance in water and CO<sub>2</sub> adsorption, and representative role of micro- and mesoporous materials. Herein, the water adsorption mechanisms of MOFs are summarized, followed by a review of MOF's water stability, with a highlight on the emerging machine learning (ML) technique to predict MOF water stability and water uptake. Recent advances in the mechanistic elaboration of moisture's effects on CO<sub>2</sub> adsorption are reviewed. This review summarizes recent advances in water-harvesting porous materials with special attention on MOFs and expects to direct researchers' attention into the topic of concurrent water harvesting and carbon capture as a future challenge. Materials science ; Economic shortage ; Water scarcity ; Metal-organic framework ; Carbon fibers ; Nanotechnology ; Liquid water ; Process engineering ; Composite number ; Adsorption ; Water resources ; Composite material ; Engineering ; Earth science ; Ecology ; Organic chemistry Metal-Organic Frameworks: Synthesis and Applications ; Covalent Organic Framework Applications ; Membrane Separation and Gas Transport
Authors: Rajesh Singh | Shradha Dutt | Priyanka Sharma | Ashok K. Sundramoorthy | Aman Dubey | Anoop Singh | Sandeep Arya
Source: Global Challenges (review, 2023-02-21)
Field: Materials Science — Materials Chemistry

Future of Nanotechnology in Food Industry: Challenges in Processing, Packaging, and Food Safety Over the course of the last several decades, nanotechnology has garnered a growing amount of attention as a potentially valuable technology that has significantly impacted the food industry. Nanotechnology helps in enhancing the properties of materials and structures that are used in various fields such as agriculture, food, pharmacy, and so on. Applications of nanotechnology in the food market have included the encapsulation and distribution of materials to specific locations, the improvement of flavor, the introduction of antibacterial nanoparticles into food, the betterment of prolonged storage, the detection of pollutants, enhanced storage facilities, locating, identifying, as well as consumer awareness. Labeling food goods with nano barcodes helps ensure their security and may also be used to track their distribution. This review article presents a discussion about current advances in nanotechnology along with its applications in the field of food-tech, food packaging, food security, enhancing life of food products, etc. A detailed description is provided about various synthesis routes of nanomaterials, that is, chemical, physical, and biological methods. Nanotechnology is a rapidly improving the field of food packaging and the future holds great opportunities for more enhancement via the development of new nanomaterials and nanosensors. Applications of nanotechnology ; Nanotechnology ; Food packaging ; Impact of nanotechnology ; Food industry ; Food engineering ; Food security ; Food safety ; Food processing ; Business ; Agriculture ; Engineering ; Societal impact of nanotechnology ; Materials science ; Chemistry Nanoparticles: synthesis and applications ; Biosensors and Analytical Detection ; Medicinal Plants and Neuroprotection
Authors: Cayque Monteiro Castro Nascimento | André Silva Pimentel
Source: Journal of Chemical Information and Modeling (article, 2023-03-16)
Field: Materials Science — Materials Chemistry

Do Large Language Models Understand Chemistry? A Conversation with ChatGPT Large language models (LLMs) have promised a revolution in answering complex questions using the ChatGPT model. Its application in chemistry is still in its infancy. This viewpoint addresses the question of how well ChatGPT understands chemistry by posing five simple tasks in different subareas of chemistry. Conversation ; Simple (philosophy) ; Computer science ; Chemistry ; Linguistics ; Epistemology ; Philosophy Machine Learning in Materials Science ; Topic Modeling