jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Jing Chen | Yiyang Gao | Lei Shi | Wei Yu | Zongjie Sun | Yifan Zhou | Shuang Liu | Heng Mao | Dongyang Zhang | Tongqing Lu | Quan Chen | Demei Yu | Shujiang Ding
Source: Nature Communications (article, 2022-08-18)
Field: Materials Science — Polymers and Plastics

Phase-locked constructing dynamic supramolecular ionic conductive elastomers with superior toughness, autonomous self-healing and recyclability Stretchable ionic conductors are considerable to be the most attractive candidate for next-generation flexible ionotronic devices. Nevertheless, high ionic conductivity, excellent mechanical properties, good self-healing capacity and recyclability are necessary but can be rarely satisfied in one material. Herein, we propose an ionic conductor design, dynamic supramolecular ionic conductive elastomers (DSICE), via phase-locked strategy, wherein locking soft phase polyether backbone conducts lithium-ion (Li<sup>+</sup>) transport and the combination of dynamic disulfide metathesis and stronger supramolecular quadruple hydrogen bonds in the hard domains contributes to the self-healing capacity and mechanical versatility. The dual-phase design performs its own functions and the conflict among ionic conductivity, self-healing capability, and mechanical compatibility can be thus defeated. The well-designed DSICE exhibits high ionic conductivity (3.77 × 10<sup>-3</sup> S m<sup>-1</sup> at 30 °C), high transparency (92.3%), superior stretchability (2615.17% elongation), strength (27.83 MPa) and toughness (164.36 MJ m<sup>-3</sup>), excellent self-healing capability (~99% at room temperature) and favorable recyclability. This work provides an interesting strategy for designing the advanced ionic conductors and offers promise for flexible ionotronic devices or solid-state batteries. Materials science ; Ionic conductivity ; Ionic bonding ; Self-healing ; Electrical conductor ; Toughness ; Supramolecular chemistry ; Nanotechnology ; Elastomer ; Supramolecular polymers ; Composite material ; Ion ; Chemistry ; Crystal structure ; Electrode ; Organic chemistry ; Electrolyte Polymer composites and self-healing ; Advanced Sensor and Energy Harvesting Materials ; Conducting polymers and applications
Authors: Haipeng Wang | Pu Chen | Jiawei Dai | Dan Liu | Jingyan Li | Yupeng Xu | Xiaoli Chu
Source: TrAC Trends in Analytical Chemistry (article, 2022-04-20)
Field: Chemistry — Analytical Chemistry

Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues Chemometrics ; Spectroscopy ; Laser-induced breakdown spectroscopy ; Computer science ; Calibration ; Remote sensing ; Mathematics ; Machine learning ; Physics ; Geography ; Statistics Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Advanced Chemical Sensor Technologies
Authors: Muhammad Ali Butt
Source: Coatings (article, 2022-08-04)
Field: Materials Science — Materials Chemistry

Thin-Film Coating Methods: A Successful Marriage of High-Quality and Cost-Effectiveness—A Brief Exploration In this review, several cost-effective thin-film coating methods, which include dip-coating, spin-coating, spray-coating, blade-coating, and roll-coating, are presented. Each method has its own set of advantages and disadvantages depending on the proposed application. Not all of them are appropriate for large-scale production due to their certain limitations. That is why the coating method should be selected based on the type and size of the substrate, including the thickness and surface roughness of the required thin films. The sol–gel method offers several benefits, such as simplicity in fabrication, excellent film uniformity, the capacity to cover surfaces of any size and over vast areas, and a low processing temperature. Nevertheless, these coating methods are somewhat economical and well managed in low-budget laboratories. Moreover, these methods offer thin films with good homogeneity and low-surface roughness. Furthermore, some other thin-film deposition methods, for instance, physical vapor deposition (PVD) and chemical vapor deposition (CVD), are also discussed. Since CVD is not restricted to line-of-sight deposition, a characteristic shared by sputtering, evaporation, and other PVD methods, many manufacturing methods favor it. However, these techniques require sophisticated equipment and cleanroom facilities. We aim to provide the pros and cons of thin-film coating methods and let the readers decide the suitable coating technique for their specific application. Coating ; Materials science ; Thin film ; Fabrication ; Sputtering ; Surface finish ; Physical vapor deposition ; Surface roughness ; Cleanroom ; Deposition (geology) ; Chemical vapor deposition ; Nanotechnology ; Composite material ZnO doping and properties ; Organic Light-Emitting Diodes Research ; Semiconductor materials and devices
Authors: Andreas Rosenkranz | Maria Clelia Righi | Anirudha V. Sumant | Babak Anasori | Vadym N. Mochalin
Source: Advanced Materials (article, 2022-12-20)
Field: Materials Science — Materials Chemistry

Perspectives of 2D MXene Tribology The large and rapidly growing family of 2D early transition metal carbides, nitrides, and carbonitrides (MXenes) raises significant interest in the materials science and chemistry of materials communities. Discovered a little more than a decade ago, MXenes have already demonstrated outstanding potential in various applications ranging from energy storage to biology and medicine. The past two years have witnessed increased experimental and theoretical efforts toward studying MXenes' mechanical and tribological properties when used as lubricant additives, reinforcement phases in composites, or solid lubricant coatings. Although research on the understanding of the friction and wear performance of MXenes under dry and lubricated conditions is still in its early stages, it has experienced rapid growth due to the excellent mechanical properties and chemical reactivities offered by MXenes that make them adaptable to being combined with other materials, thus boosting their tribological performance. In this perspective, the most promising results in the area of MXene tribology are summarized, future important problems to be pursued further are outlined, and methodological recommendations that could be useful for experts as well as newcomers to MXenes research, in particular, to the emerging area of MXene tribology, are provided. MXenes ; Tribology ; Lubricant ; Materials science ; Carbide ; Nanotechnology ; Dry lubricant ; Metallurgy ; Composite material MXene and MAX Phase Materials ; Metal and Thin Film Mechanics ; 2D Materials and Applications
Authors: Ashley M. Frankenfield | Jiawei Ni | Mustafa Ahmed | Ling Hao
Source: Journal of Proteome Research (article, 2022-07-06)
Field: Chemistry — Spectroscopy

Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics Mass spectrometry-based proteomics is constantly challenged by the presence of contaminant background signals. In particular, protein contaminants from reagents and sample handling are almost impossible to avoid. For data-dependent acquisition (DDA) proteomics, an exclusion list can be used to reduce the influence of protein contaminants. However, protein contamination has not been evaluated and is rarely addressed in data-independent acquisition (DIA). How protein contaminants influence proteomic data is also unclear. In this study, we established new protein contaminant FASTA and spectral libraries that are applicable to all proteomic workflows and evaluated the impact of protein contaminants on both DDA and DIA proteomics. We demonstrated that including our contaminant libraries can reduce false discoveries and increase protein identifications, without influencing the quantification accuracy in various proteomic software platforms. With the pressing need to standardize proteomic workflow in the research community, we highly recommend including our contaminant FASTA and spectral libraries in all bottom-up proteomic data analysis. Our contaminant libraries and a step-by-step tutorial to incorporate these libraries in various DDA and DIA data analysis platforms can be valuable resources for proteomic researchers, freely accessible at https://github.com/HaoGroup-ProtContLib. Workflow ; Proteomics ; Contamination ; Computer science ; Mass spectrometry ; Quantitative proteomics ; Computational biology ; Data science ; Chemistry ; Biology ; Chromatography ; Database ; Ecology ; Biochemistry Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Authors: Tanishq Gupta | Mohd Zaki | N. M. Anoop Krishnan | Mausam Mausam
Source: npj Computational Materials (article, 2022-05-03)
Field: Materials Science — Materials Chemistry

MatSciBERT: A materials domain language model for text mining and information extraction Abstract A large amount of materials science knowledge is generated and stored as text published in peer-reviewed scientific literature. While recent developments in natural language processing, such as Bidirectional Encoder Representations from Transformers (BERT) models, provide promising information extraction tools, these models may yield suboptimal results when applied on materials domain since they are not trained in materials science specific notations and jargons. Here, we present a materials-aware language model, namely, MatSciBERT, trained on a large corpus of peer-reviewed materials science publications. We show that MatSciBERT outperforms SciBERT, a language model trained on science corpus, and establish state-of-the-art results on three downstream tasks, named entity recognition, relation classification, and abstract classification. We make the pre-trained weights of MatSciBERT publicly accessible for accelerated materials discovery and information extraction from materials science texts. Computer science ; Natural language processing ; Information extraction ; Relationship extraction ; Transformer ; Domain (mathematical analysis) ; Artificial intelligence ; Notation ; Information retrieval ; Linguistics ; Engineering Machine Learning in Materials Science ; Topic Modeling ; Natural Language Processing Techniques
Authors: Felipe Oviedo | Juan Lavista Ferres | Tonio Buonassisi | Keith T. Butler
Source: Accounts of Materials Research (article, 2022-06-03)
Field: Materials Science — Materials Chemistry

Interpretable and Explainable Machine Learning for Materials Science and Chemistry While the uptake of data-driven approaches for materials science and chemistry is at an exciting, early stage, to realise the true potential of machine learning models for successful scientific discovery, they must have qualities beyond purely predictive power. The predictions and inner workings of models should provide a certain degree of explainability by human experts, permitting the identification of potential model issues or limitations, building trust on model predictions and unveiling unexpected correlations that may lead to scientific insights. In this work, we summarize applications of interpretability and explainability techniques for materials science and chemistry and discuss how these techniques can improve the outcome of scientific studies. We discuss various challenges for interpretable machine learning in materials science and, more broadly, in scientific settings. In particular, we emphasize the risks of inferring causation or reaching generalization by purely interpreting machine learning models and the need of uncertainty estimates for model explanations. Finally, we showcase a number of exciting developments in other fields that could benefit interpretability in material science and chemistry problems. Interpretability ; Identification (biology) ; Artificial intelligence ; Causation ; Computer science ; Generalization ; Predictive power ; Machine learning ; Data science ; Management science ; Epistemology ; Engineering ; Philosophy Machine Learning in Materials Science ; Explainable Artificial Intelligence (XAI) ; Computational Drug Discovery Methods
Authors: Wenyi Chen | Xiao‐Lei Shi | Jin Zou | Zhi‐Gang Chen
Source: Materials Science and Engineering R Reports (article, 2022-08-17)
Field: Materials Science — Materials Chemistry

Thermoelectric coolers for on-chip thermal management: Materials, design, and optimization Thermoelectric cooling ; Electronics ; Thermoelectric effect ; Controllability ; Chip ; Thermal management of electronic devices and systems ; Reliability (semiconductor) ; Thermoelectric materials ; Mechanical engineering ; Computer science ; Materials science ; Engineering ; Electrical engineering ; Physics Advanced Thermoelectric Materials and Devices ; Thermal properties of materials ; Thermal Radiation and Cooling Technologies
Authors: Ji Yang | Ruofei Zhang | Hanqing Zhao | Haifeng Qi | Jingyun Li | Jian‐Feng Li | Xinyao Zhou | Aiqin Wang | Kelong Fan | Xiyun Yan | Tao Zhang
Source: Exploration (article, 2022-07-13)
Field: Materials Science — Materials Chemistry

Bioinspired copper single‐atom nanozyme as a superoxide dismutase‐like antioxidant for sepsis treatment Sepsis is a systemic inflammatory response syndrome with high morbidity and mortality mediated by infection-caused oxidative stress. Early antioxidant intervention by removing excessively produced reactive oxygen and nitrogen species (RONS) is beneficial to the prevention and treatment of sepsis. However, traditional antioxidants have failed to improve patient outcomes due to insufficient activity and sustainability. Herein, by mimicking the electronic and structural characteristics of natural Cu-only superoxide dismutase (SOD5), a single-atom nanozyme (SAzyme) featuring coordinately unsaturated and atomically dispersed Cu-N<sub>4</sub> site was synthesized for effective sepsis treatment. The de novo-designed Cu-SAzyme exhibits a superior SOD-like activity to efficiently eliminate O<sub>2</sub> <sup>•-</sup>, which is the source of multiple RONS, thus blocking the free radical chain reaction and subsequent inflammatory response in the early stage of sepsis. Moreover, the Cu-SAzyme effectively harnessed systemic inflammation and multi-organ injuries in sepsis animal models. These findings indicate that the developed Cu-SAzyme possesses great potential as therapeutic nanomedicines for the treatment of sepsis. Sepsis ; Oxidative stress ; Antioxidant ; Superoxide dismutase ; Reactive oxygen species ; Inflammation ; Inflammatory response ; Chemistry ; Systemic inflammatory response syndrome ; Immunology ; Medicine ; Pharmacology ; Biochemistry Advanced Nanomaterials in Catalysis ; Nanoplatforms for cancer theranostics ; Nanoparticles: synthesis and applications
Authors: Jerry O. Adeyemi | Ayodeji O. Oriola | Damian C. Onwudiwe | Adebola O. Oyedeji
Source: Biomolecules (review, 2022-04-24)
Field: Materials Science — Materials Chemistry

Plant Extracts Mediated Metal-Based Nanoparticles: Synthesis and Biological Applications The vastness of metal-based nanoparticles has continued to arouse much research interest, which has led to the extensive search and discovery of new materials with varying compositions, synthetic methods, and applications. Depending on applications, many synthetic methods have been used to prepare these materials, which have found applications in different areas, including biology. However, the prominent nature of the associated toxicity and environmental concerns involved in most of these conventional methods have limited their continuous usage due to the desire for more clean, reliable, eco-friendly, and biologically appropriate approaches. Plant-mediated synthetic approaches for metal nanoparticles have emerged to circumvent the often-associated disadvantages with the conventional synthetic routes, using bioresources that act as a scaffold by effectively reducing and stabilizing these materials, whilst making them biocompatible for biological cells. This capacity by plants to intrinsically utilize their organic processes to reorganize inorganic metal ions into nanoparticles has thus led to extensive studies into this area of biochemical synthesis and analysis. In this review, we examined the use of several plant extracts as a mediating agent for the synthesis of different metal-based nanoparticles (MNPs). Furthermore, the associated biological properties, which have been suggested to emanate from the influence of the diverse metabolites found in these plants, were also reviewed. Biocompatible material ; Nanotechnology ; Nanoparticle ; Biochemical engineering ; Materials science ; Chemistry ; Engineering ; Biomedical engineering Nanoparticles: synthesis and applications ; Medicinal Plants and Neuroprotection
Authors: Padinhare Cholakkal Harikesh | Chi‐Yuan Yang | Deyu Tu | Jennifer Y. Gerasimov | Abdul Manan Dar | Adam Armada‐Moreira | Matteo Massetti | Renee Kroon | David Bliman | Roger Olsson | Eleni Stavrinidou | Magnus Berggren | Simone Fabiano
Source: Nature Communications (article, 2022-02-22)
Field: Materials Science — Polymers and Plastics

Organic electrochemical neurons and synapses with ion mediated spiking Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating principles fundamentally different from the ion signal modulation of biology, traditional Silicon-based neuromorphic implementations have limited bio-integration potential. Here, we report the first organic electrochemical neurons (OECNs) with ion-modulated spiking, based on all-printed complementary organic electrochemical transistors. We demonstrate facile bio-integration of OECNs with Venus Flytrap (Dionaea muscipula) to induce lobe closure upon input stimuli. The OECNs can also be integrated with all-printed organic electrochemical synapses (OECSs), exhibiting short-term plasticity with paired-pulse facilitation and long-term plasticity with retention >1000 s, facilitating Hebbian learning. These soft and flexible OECNs operate below 0.6 V and respond to multiple stimuli, defining a new vista for localized artificial neuronal systems possible to integrate with bio-signaling systems of plants, invertebrates, and vertebrates. Neuromorphic engineering ; Hebbian theory ; Computer science ; Soft robotics ; Neuroscience ; Nanotechnology ; Materials science ; Artificial intelligence ; Artificial neural network ; Robot ; Biology Conducting polymers and applications ; Advanced Memory and Neural Computing ; Advanced Sensor and Energy Harvesting Materials
Authors: Nattapol Ma | Satoshi Horike
Source: Chemical Reviews (review, 2022-01-19)
Field: Chemistry — Inorganic Chemistry

Metal–Organic Network-Forming Glasses The crystal-liquid-glass phase transition of coordination polymers (CPs) and metal-organic frameworks (MOFs) offers attractive opportunities as a new class of amorphous materials. Unlike conventional glasses, coordination chemistry allows the utilization of rational design concepts to fine-tune the desired properties. Although the glassy state has been rare in CPs/MOFs, it exhibits diverse advantages complementary to their crystalline counterparts, including improved mass transport, optical properties, mechanical properties, and the ability to form grain-boundary-free monoliths. This Review discusses the current achievements in improving the understanding of anomalous phase transitions in CPs/MOFs. We elaborate on the criteria for classifying CP/MOF glasses and comprehensively discuss the three common strategies employed to obtain a glassy state. We include all CP/MOF glass research progress since its inception, discuss the current challenges, and express our perspective on future research directions. Amorphous solid ; Chemistry ; Nanotechnology ; Glass transition ; Phase (matter) ; Amorphous metal ; Metal-organic framework ; Crystal (programming language) ; Phase transition ; Polymer ; Materials science ; Organic chemistry ; Thermodynamics ; Computer science ; Physics Metal-Organic Frameworks: Synthesis and Applications ; Lanthanide and Transition Metal Complexes ; Material Dynamics and Properties
Authors: Huiqiao Liu | Xia Gao | Chen Xu | Dingbin Liu
Source: Theranostics (review, 2022-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

SERS Tags for Biomedical Detection and Bioimaging Surface-enhanced Raman scattering (SERS) has emerged as a valuable technique for molecular identification. Due to the characteristics of high sensitivity, excellent signal specificity, and photobleaching resistance, SERS has been widely used in the fields of environmental monitoring, food safety, and disease diagnosis. By attaching the organic molecules to the surface of plasmonic nanoparticles, the obtained SERS tags show high-performance multiplexing capability for biosensing. The past decade has witnessed the progress of SERS tags for liquid biopsy, bioimaging, and theranostics applications. This review focuses on the advances of SERS tags in biomedical fields. We first introduce the building blocks of SERS tags, followed by the summarization of recent progress in SERS tags employed for detecting biomarkers, such as DNA, miRNA, and protein in biological fluids, as well as imaging from <i>in vitro</i> cell, bacteria, tissue to <i>in vivo</i> tumors. Further, we illustrate the appealing applications of SERS tags for delineating tumor margins and cancer diagnosis. In the end, perspectives of SERS tags projecting into the possible obstacles are deliberately proposed in future clinical translation. Nanotechnology ; Photobleaching ; Cancer biomarkers ; Biosensor ; Computer science ; Materials science ; Cancer ; Fluorescence ; Biology ; Physics Gold and Silver Nanoparticles Synthesis and Applications ; Advanced biosensing and bioanalysis techniques ; Biosensors and Analytical Detection
Authors: Pawan Kumar | Shweta Dua | Ravinder Kaur | Mahesh Kumar | Geeta Bhatt
Source: RSC Advances (review, 2022-01-01)
Field: Materials Science — Materials Chemistry

A review on advancements in carbon quantum dots and their application in photovoltaics This review puts forth the in-depth understanding of the fundamentals of carbon quantum dots(CQDs), recent advancements in the field including a thorough discussion on different roles of CQDs to enhance the performance of solar cells and white-LEDs. Photovoltaics ; Quantum dot ; Carbon quantum dots ; Nanotechnology ; Carbon fibers ; Materials science ; Engineering physics ; Photovoltaic system ; Optoelectronics ; Physics ; Engineering ; Electrical engineering Carbon and Quantum Dots Applications ; Quantum Dots Synthesis And Properties ; Graphene and Nanomaterials Applications