jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Yinglai Hou | Zhizhi Sheng | Chen Fu | Jie Kong | Xuetong Zhang
Source: Nature Communications (article, 2022-03-09)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Hygroscopic holey graphene aerogel fibers enable highly efficient moisture capture, heat allocation and microwave absorption Aerogel fibers have been recognized as the rising star in the fields of thermal insulation and wearable textiles. Yet, the lack of functionalization in aerogel fibers limits their applications. Herein, we report hygroscopic holey graphene aerogel fibers (LiCl@HGAFs) with integrated functionalities of highly efficient moisture capture, heat allocation, and microwave absorption. LiCl@HGAFs realize the water sorption capacity over 4.15 g g<sup>-1</sup>, due to the high surface area and high water uptake kinetics. Moreover, the sorbent can be regenerated through both photo-thermal and electro-thermal approaches. Along with the water sorption and desorption, LiCl@HGAFs experience an efficient heat transfer process, with a heat storage capacity of 6.93 kJ g<sup>-1</sup>. The coefficient of performance in the heating and cooling mode can reach 1.72 and 0.70, respectively. Notably, with the entrapped water, LiCl@HGAFs exhibit broad microwave absorption with a bandwidth of 9.69 GHz, good impedance matching, and a high attenuation constant of 585. In light of these findings, the multifunctional LiCl@HGAFs open an avenue for applications in water harvest, heat allocation, and microwave absorption. This strategy also suggests the possibility to functionalize aerogel fibers towards even broader applications. Aerogel ; Materials science ; Microwave ; Moisture ; Graphene ; Absorption (acoustics) ; Chemical engineering ; Sorption ; Thermal insulation ; Composite material ; Optoelectronics ; Nanotechnology ; Adsorption ; Chemistry ; Telecommunications Electromagnetic wave absorption materials ; Aerogels and thermal insulation ; Advanced Sensor and Energy Harvesting Materials
Authors: Samar Zuhair Alshawwa | Abeer Ahmed Kassem | Ragwa M. Farid | Shaimaa K. Mostafa | Gihan S. Labib
Source: Pharmaceutics (review, 2022-04-18)
Field: Materials Science — Biomaterials

Nanocarrier Drug Delivery Systems: Characterization, Limitations, Future Perspectives and Implementation of Artificial Intelligence There has been an increasing demand for the development of nanocarriers targeting multiple diseases with a broad range of properties. Due to their tiny size, giant surface area and feasible targetability, nanocarriers have optimized efficacy, decreased side effects and improved stability over conventional drug dosage forms. There are diverse types of nanocarriers that have been synthesized for drug delivery, including dendrimers, liposomes, solid lipid nanoparticles, polymersomes, polymer-drug conjugates, polymeric nanoparticles, peptide nanoparticles, micelles, nanoemulsions, nanospheres, nanocapsules, nanoshells, carbon nanotubes and gold nanoparticles, etc. Several characterization techniques have been proposed and used over the past few decades to control and predict the behavior of nanocarriers both in vitro and in vivo. In this review, we describe some fundamental in vitro, ex vivo, in situ and in vivo characterization methods for most nanocarriers, emphasizing their advantages and limitations, as well as the safety, regulatory and manufacturing aspects that hinder the transfer of nanocarriers from the laboratory to the clinic. Moreover, integration of artificial intelligence with nanotechnology, as well as the advantages and problems of artificial intelligence in the development and optimization of nanocarriers, are also discussed, along with future perspectives. Nanocarriers ; Nanotechnology ; Drug delivery ; Materials science ; Polymersome ; Targeted drug delivery ; Nanoparticle ; Nanomedicine ; Polymer ; Copolymer Nanoparticle-Based Drug Delivery ; Gold and Silver Nanoparticles Synthesis and Applications ; Graphene and Nanomaterials Applications
Authors: Yixin Han | Kunpeng Ruan | Junwei Gu
Source: Nano Research (article, 2022-02-08)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Janus (BNNS/ANF)-(AgNWs/ANF) thermal conductivity composite films with superior electromagnetic interference shielding and Joule heating performances Highly thermal conductivity materials with excellent electromagnetic interference shielding and Joule heating performances are ideal for thermal management in the next generation of communication industry, artificial intelligence and wearable electronics. In this work, silver nanowires (AgNWs) are prepared using silver nitrate as the silver source and ethylene glycol as the solvent and reducing agent, and boron nitride (BN) is performed to prepare BN nanosheets (BNNS) with the help of isopropyl alcohol and ultrasonication-assisted peeling method, which are compounded with aramid nanofibers (ANF) prepared by chemical dissociation, respectively, and the (BNNS/ANF)-(AgNWs/ANF) thermal conductivity and electromagnetic interference shielding composite films with Janus structures are prepared by the “vacuum-assisted filtration and hot-pressing” method. Janus (BNNS/ANF)-(AgNWs/ANF) composite films exhibit “one side insulating, one side conducting” performance, the surface resistivity of the BNNS/ANF surface is 4.7 × 1013 Ω, while the conductivity of the AgNWs/ANF surface is 5,275 S/cm. And Janus (BNNS/ANF)-(AgNWs/ANF) composite film with thickness of 95 µm has a high in-plane thermal conductivity coefficient of 8.12 W/(m·K) and superior electromagnetic interference shielding effectiveness of 70 dB. The obtained composite film also has excellent tensile strength of 122.9 MPa and tensile modulus and 2.7 GPa. It also has good temperature-voltage response characteristics (high Joule heating temperature at low supply voltage (5 V, 215.0 °C), fast response time (10 s)), excellent electrical stability and reliability (stable and constant real-time relative resistance under up to 300 cycles and 1,500 s of tensile-bending fatigue work tests). Materials science ; Joule heating ; Composite material ; Composite number ; Thermal conductivity ; Ultimate tensile strength Electromagnetic wave absorption materials ; Thermal properties of materials ; Advanced Sensor and Energy Harvesting Materials
Authors: Vadim Demichev | Łukasz Szyrwiel | Fengchao Yu | Guo Ci Teo | George Rosenberger | Agathe Niewienda | Daniela Ludwig | Jens Decker | Stephanie Kaspar‐Schoenefeld | Kathryn S. Lilley | Michael Mülleder | Alexey I. Nesvizhskii | Markus Ralser
Source: Nature Communications (article, 2022-07-08)
Field: Chemistry — Spectroscopy

dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts The dia-PASEF technology uses ion mobility separation to reduce signal interferences and increase sensitivity in proteomic experiments. Here we present a two-dimensional peak-picking algorithm and generation of optimized spectral libraries, as well as take advantage of neural network-based processing of dia-PASEF data. Our computational platform boosts proteomic depth by up to 83% compared to previous work, and is specifically beneficial for fast proteomic experiments and those with low sample amounts. It quantifies over 5300 proteins in single injections recorded at 200 samples per day throughput using Evosep One chromatography system on a timsTOF Pro mass spectrometer and almost 9000 proteins in single injections recorded with a 93-min nanoflow gradient on timsTOF Pro 2, from 200 ng of HeLa peptides. A user-friendly implementation is provided through the incorporation of the algorithms in the DIA-NN software and by the FragPipe workflow for spectral library generation. Workflow ; Mass spectrometry ; Computer science ; Proteomics ; Sample (material) ; Software ; Artificial neural network ; Throughput ; SIGNAL (programming language) ; Chemistry ; Chromatography ; Artificial intelligence ; Telecommunications ; Database ; Operating system Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Lejing Pi | Pengfei Wang | Shi‐Jun Liang | Peng Luo | Haoyun Wang | Dongyan Li | Zexin Li | Ping Chen | Xing Zhou | Feng Miao | Tianyou Zhai
Source: Nature Electronics (article, 2022-04-25)
Field: Materials Science — Materials Chemistry

Broadband convolutional processing using band-alignment-tunable heterostructures Heterojunction ; Broadband ; Optoelectronics ; Convolutional neural network ; Computer science ; Materials science ; Artificial intelligence ; Telecommunications 2D Materials and Applications ; Perovskite Materials and Applications ; Advanced Memory and Neural Computing
Authors: Maryam Arabi | Abbas Ostovan | Yunqing Wang | Rongchao Mei | Longwen Fu | Jinhua Li | Xiaoyan Wang | Lingxin Chen
Source: Nature Communications (article, 2022-09-30)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Chiral molecular imprinting-based SERS detection strategy for absolute enantiomeric discrimination Chiral discrimination is critical in environmental and life sciences. However, an ideal chiral discrimination strategy has not yet been developed because of the inevitable nonspecific binding entity of wrong enantiomers or insufficient intrinsic optical activities of chiral molecules. Here, we propose an "inspector" recognition mechanism (IRM), which is implemented on a chiral imprinted polydopamine (PDA) layer coated on surface-enhanced Raman scattering (SERS) tag layer. The IRM works based on the permeability change of the imprinted PDA after the chiral recognition and scrutiny of the permeability by an inspector molecule. Good enantiomer can specifically recognize and fully fill the chiral imprinted cavities, whereas the wrong cannot. Then a linear shape aminothiol molecule, as an inspector of the recognition status is introduced, which can only percolate through the vacant and nonspecifically occupied cavities, inducing the SERS signal to decrease. Accordingly, chirality information exclusively stems from good enantiomer specific binding, while nonspecific recognition of wrong enantiomer is curbed. The IRM benefits from sensitivity and versatility, enabling absolute discrimination of a wide variety of chiral molecules regardless of size, functional groups, polarities, optical activities, Raman scattering, and the number of chiral centers. Enantiomer ; Chirality (physics) ; Molecule ; Molecular imprinting ; Molecular recognition ; Enantiomeric excess ; Chemistry ; Raman scattering ; Nanotechnology ; Materials science ; Raman spectroscopy ; Stereochemistry ; Selectivity ; Enantioselective synthesis ; Physics ; Organic chemistry ; Chiral symmetry breaking ; Optics ; Catalysis ; Quantum mechanics Gold and Silver Nanoparticles Synthesis and Applications ; Analytical chemistry methods development ; Electrochemical Analysis and Applications
Authors: Shivraj Hariram Nile | Muthu Thiruvengadam | Yao Wang | Ramkumar Samynathan | Mohammad Ali Shariati | Максим Ребезов | Arti Nile | Meihong Sun | Baskar Venkidasamy | Jianbo Xiao | Guoyin Kai
Source: Journal of Nanobiotechnology (review, 2022-06-03)
Field: Materials Science — Materials Chemistry

Nano-priming as emerging seed priming technology for sustainable agriculture—recent developments and future perspectives Nano-priming is an innovative seed priming technology that helps to improve seed germination, seed growth, and yield by providing resistance to various stresses in plants. Nano-priming is a considerably more effective method compared to all other seed priming methods. The salient features of nanoparticles (NPs) in seed priming are to develop electron exchange and enhanced surface reaction capabilities associated with various components of plant cells and tissues. Nano-priming induces the formation of nanopores in shoot and helps in the uptake of water absorption, activates reactive oxygen species (ROS)/antioxidant mechanisms in seeds, and forms hydroxyl radicals to loosen the walls of the cells and acts as an inducer for rapid hydrolysis of starch. It also induces the expression of aquaporin genes that are involved in the intake of water and also mediates H<sub>2</sub>O<sub>2,</sub> or ROS, dispersed over biological membranes. Nano-priming induces starch degradation via the stimulation of amylase, which results in the stimulation of seed germination. Nano-priming induces a mild ROS that acts as a primary signaling cue for various signaling cascade events that participate in secondary metabolite production and stress tolerance. This review provides details on the possible mechanisms by which nano-priming induces breaking seed dormancy, promotion of seed germination, and their impact on primary and secondary metabolite production. In addition, the use of nano-based fertilizer and pesticides as effective materials in nano-priming and plant growth development were also discussed, considering their recent status and future perspectives. Priming (agriculture) ; Germination ; Cell biology ; Chemistry ; Biophysics ; Biotechnology ; Biochemistry ; Biology ; Botany Nanoparticles: synthesis and applications ; Seed Germination and Physiology ; Polymer-Based Agricultural Enhancements
Authors: Hailong Tian | Tingting Zhang | Siyuan Qin | Zhao Huang | Li Zhou | Jiayan Shi | Edouard C. Nice | Na Xie | Canhua Huang | Zhisen Shen
Source: Journal of Hematology & Oncology (review, 2022-09-12)
Field: Materials Science — Biomaterials

Enhancing the therapeutic efficacy of nanoparticles for cancer treatment using versatile targeted strategies Poor targeting of therapeutics leading to severe adverse effects on normal tissues is considered one of the obstacles in cancer therapy. To help overcome this, nanoscale drug delivery systems have provided an alternative avenue for improving the therapeutic potential of various agents and bioactive molecules through the enhanced permeability and retention (EPR) effect. Nanosystems with cancer-targeted ligands can achieve effective delivery to the tumor cells utilizing cell surface-specific receptors, the tumor vasculature and antigens with high accuracy and affinity. Additionally, stimuli-responsive nanoplatforms have also been considered as a promising and effective targeting strategy against tumors, as these nanoplatforms maintain their stealth feature under normal conditions, but upon homing in on cancerous lesions or their microenvironment, are responsive and release their cargoes. In this review, we comprehensively summarize the field of active targeting drug delivery systems and a number of stimuli-responsive release studies in the context of emerging nanoplatform development, and also discuss how this knowledge can contribute to further improvements in clinical practice. Hematology ; Medicine ; Cancer ; Internal medicine ; Oncology ; Medical physics ; Intensive care medicine Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; Curcumin's Biomedical Applications
Authors: Ahmed Barhoum | María Luisa García‐Betancourt | Jaison Jeevanandam | E.A. Abu Hussien | Sara A. Mekkawy | Menna Mostafa | Mohamed M. Omran | Mohga S. Abdalla | Mikhaël Bechelany
Source: Nanomaterials (review, 2022-01-06)
Field: Materials Science — Materials Chemistry

Review on Natural, Incidental, Bioinspired, and Engineered Nanomaterials: History, Definitions, Classifications, Synthesis, Properties, Market, Toxicities, Risks, and Regulations Nanomaterials are becoming important materials in several fields and industries thanks to their very reduced size and shape-related features. Scientists think that nanoparticles and nanostructured materials originated during the Big Bang process from meteorites leading to the formation of the universe and Earth. Since 1990, the term nanotechnology became very popular due to advances in imaging technologies that paved the way to specific industrial applications. Currently, nanoparticles and nanostructured materials are synthesized on a large scale and are indispensable for many industries. This fact fosters and supports research in biochemistry, biophysics, and biochemical engineering applications. Recently, nanotechnology has been combined with other sciences to fabricate new forms of nanomaterials that could be used, for instance, for diagnostic tools, drug delivery systems, energy generation/storage, environmental remediation as well as agriculture and food processing. In contrast with traditional materials, specific features can be integrated into nanoparticles, nanostructures, and nanosystems by simply modifying their scale, shape, and composition. This article first summarizes the history of nanomaterials and nanotechnology. Followed by the progress that led to improved synthesis processes to produce different nanoparticles and nanostructures characterized by specific features. The content finally presents various origins and sources of nanomaterials, synthesis strategies, their toxicity, risks, regulations, and self-aggregation. Nanotechnology ; Nanomaterials ; Applications of nanotechnology ; Nanoparticle ; Materials science Nanoparticles: synthesis and applications ; Nanotechnology research and applications ; Laser-Ablation Synthesis of Nanoparticles
Authors: Yu Guo | Maolin Wang | Qingjun Zhu | Dequan Xiao | Ding Ma
Source: Nature Catalysis (article, 2022-09-20)
Field: Materials Science — Materials Chemistry

Ensemble effect for single-atom, small cluster and nanoparticle catalysts Catalysis ; Reactivity (psychology) ; Atom (system on chip) ; Cluster (spacecraft) ; Metal ; Chemical physics ; Chemistry ; Nanoparticle ; Computational chemistry ; Nanotechnology ; Materials science ; Computer science ; Organic chemistry Catalytic Processes in Materials Science ; Nanomaterials for catalytic reactions ; Asymmetric Hydrogenation and Catalysis
Authors: So Takamoto | Chikashi Shinagawa | D. Motoki | Kosuke Nakago | Wenwen Li | Iori Kurata | Taku Watanabe | Yoshihiro Yayama | Hiroki Iriguchi | Yusuke Asano | Tasuku Onodera | Takafumi Ishii | Takao Kudo | Hideki Ono | Ryohto Sawada | Ryuichiro Ishitani | Marc Ong | Taiki Yamaguchi | Toshiki Kataoka | Akihide Hayashi | Nontawat Charoenphakdee | Takeshi Ibuka
Source: Nature Communications (article, 2022-05-30)
Field: Materials Science — Materials Chemistry

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements Computational material discovery is under intense study owing to its ability to explore the vast space of chemical systems. Neural network potentials (NNPs) have been shown to be particularly effective in conducting atomistic simulations for such purposes. However, existing NNPs are generally designed for narrow target materials, making them unsuitable for broader applications in material discovery. Here we report a development of universal NNP called PreFerred Potential (PFP), which is able to handle any combination of 45 elements. Particular emphasis is placed on the datasets, which include a diverse set of virtual structures used to attain the universality. We demonstrated the applicability of PFP in selected domains: lithium diffusion in LiFeSO<sub>4</sub>F, molecular adsorption in metal-organic frameworks, an order-disorder transition of Cu-Au alloys, and material discovery for a Fischer-Tropsch catalyst. They showcase the power of PFP, and this technology provides a highly useful tool for material discovery. Universality (dynamical systems) ; Chemical space ; Computer science ; Scientific discovery ; Drug discovery ; Artificial neural network ; Nanotechnology ; Materials science ; Chemistry ; Artificial intelligence ; Physics Machine Learning in Materials Science ; X-ray Diffraction in Crystallography ; Electronic and Structural Properties of Oxides
Authors: Jacques A. Esterhuizen | Bryan R. Goldsmith | Suljo Linic
Source: Nature Catalysis (article, 2022-03-17)
Field: Materials Science — Materials Chemistry

Interpretable machine learning for knowledge generation in heterogeneous catalysis Interpretability ; Machine learning ; Black box ; Artificial intelligence ; Computer science ; Merge (version control) Machine Learning in Materials Science ; Explainable Artificial Intelligence (XAI) ; Topic Modeling
Authors: Vigneshwaran Shanmugam | Rhoda Afriyie Mensah | Karthik Babu | Sidique Gawusu | Avishek Chanda | Yongming Tu | Rasoul Esmaeely Neisiany | Michael Försth | Gabriel Sas | Oisik Das
Source: Particle & Particle Systems Characterization (review, 2022-05-09)
Field: Materials Science — Materials Chemistry

A Review of the Synthesis, Properties, and Applications of 2D Materials Abstract In the modern age of nanotechnology, the discovery of graphene has opened up the way to study and develop of several novel 2D materials. The unique physical and chemical properties of 2D materials have enhanced their research, making them superior to the commercial bulk materials used in various applications. Efforts have been made in the current study to present an overview of the intrinsic properties of these materials. Furthermore, synthesis and applications are also reviewed and discussed. Finally, the future outlook of 2D materials is discussed to enhance the research and performance of these materials, which can result in broader applications benefitting the electrical and electronics industries and society. Intensive research into 2D materials is expected to lead to the discovery of new materials with enhanced properties that will benefit the industry and society at large. Nanotechnology ; Graphene ; Electronics ; Electronic materials ; Materials science ; Engineering ; Electrical engineering 2D Materials and Applications ; MXene and MAX Phase Materials ; Graphene research and applications
Authors: Vishal Chaudhary | Ajeet Kaushik | Hidemitsu Furukawa | Ajit Khosla
Source: ECS Sensors Plus (article, 2022-03-01)
Field: Materials Science — Materials Chemistry

Review—Towards 5th Generation AI and IoT Driven Sustainable Intelligent Sensors Based on 2D MXenes and Borophene Sensors are considered to be an important vector for sustainable development. The demand to meet the needs of future generations is accelerating the development of intelligent sensor-systems integrated with internet of things (IoTs), fifth generation (5G) communication, artificial intelligence (AI) and machine learning (ML) strategies. The inclusion of 2D nanomaterials with the IoTs/AI/ML has revolutionized the diversified applications of sensors in healthcare, wearable electronics, safety, environment, defense, and agriculture. Owing to their unique physicochemical characteristics and surface functionalities, borophene and MXenes have emerged as advanced 2D-materials (A2M) to architect future-generation sensors. ML-AI based theoretical modeling has guided the research and development of A2M-sensors economically by reducing cost, human resources, and contamination. A2M-sensors are flexible, wearable, intelligent, biocompatible, portable, energy-efficient, self-sustained, point-of-care, and economical, which can drastically transform the conventional sensing strategies. This review provides an insight in to the state-of-the-art A2M-based physical, chemical, and biosensor to efficiently detect chemical species, gases/vapors, drugs, biomarkers/pathogens, pressure, metal ions, radiations, temperature, light, and humidity. Besides the fundamental challenges creating a gap between theoretical predictions, practical-evaluations, in-lab-technology, and commercial viability, their potential solutions, field-deployable prospects are addressed to realize commercialization, thereby ensuring ability of future generations to maintain sustainable communities. MXenes ; Computer science ; Commercialization ; Internet of Things ; Wearable computer ; Systems engineering ; Nanotechnology ; Engineering ; Embedded system ; Materials science ; Business MXene and MAX Phase Materials ; 2D Materials and Applications ; Graphene research and applications