jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Shadmani Shamim | Abu S. M. Mohsin | Md. Mosaddequr Rahman | Mohammed Belal Hossain Bhuian
Source: Heliyon (review, 2024-06-20)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Recent advances in the metamaterial and metasurface-based biosensor in the gigahertz, terahertz, and optical frequency domains Recently, metamaterials and metasurface have gained rapidly increasing attention from researchers due to their extraordinary optical and electrical properties. Metamaterials are described as artificially defined periodic structures exhibiting negative permittivity and permeability simultaneously. Whereas metasurfaces are the 2D analogue of metamaterials in the sense that they have a small but not insignificant depth. Because of their high optical confinement and adjustable optical resonances, these artificially engineered materials appear as a viable photonic platform for biosensing applications. This review paper discusses the recent development of metamaterial and metasurface in biosensing applications based on the gigahertz, terahertz, and optical frequency domains encompassing the whole electromagnetic spectrum. Overlapping features such as material selection, structure, and physical mechanisms were considered during the classification of our biosensing applications. Metamaterials and metasurfaces working in the GHz range provide prospects for better sensing of biological samples, THz frequencies, falling between GHz and optical frequencies, provide unique characteristics for biosensing permitting the exact characterization of molecular vibrations, with an emphasis on molecular identification, label-free analysis, and imaging of biological materials. Optical frequencies on the other hand cover the visible and near-infrared regions, allowing fine regulation of light-matter interactions enabling metamaterials and metasurfaces to offer excellent sensitivity and specificity in biosensing. The outcome of the sensor's sensitivity to an electric or magnetic field and the resonance frequency are, in theory, determined by the frequency domain and features. Finally, the challenges and possible future perspectives in biosensing application areas have been presented that use metamaterials and metasurfaces across diverse frequency domains to improve sensitivity, specificity, and selectivity in biosensing applications. Metamaterial ; Terahertz radiation ; Biosensor ; Photonic metamaterial ; Optoelectronics ; Permittivity ; Metamaterial absorber ; Photonics ; Materials science ; Split-ring resonator ; Dielectric ; Nanotechnology ; Optics ; Physics ; Tunable metamaterials Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Antenna Design and Analysis
Authors: Linlin Yang | Haoran Wang | Jianyu Zhang | Bo Wu | Qiyao Li | Jieying Chen | A-Ling Tang | Jacky W. Y. Lam | Zheng Zhao | Song Yang | Ben Zhong Tang
Source: Nature Communications (article, 2024-02-02)
Field: Materials Science — Materials Chemistry

Understanding the AIE phenomenon of nonconjugated rhodamine derivatives via aggregation-induced molecular conformation change The bottom-up molecular science research paradigm has greatly propelled the advancement of materials science. However, some organic molecules can exhibit markedly different properties upon aggregation. Understanding the emergence of these properties and structure-property relationship has become a new research hotspot. In this work, by taking the unique closed-form rhodamines-based aggregation-induced emission (AIE) system as model compounds, we investigated their luminescent properties and the underlying mechanism deeply from a top-down viewpoint. Interestingly, the closed-form rhodamine-based AIE system did not display the expected emission behavior under high-viscosity or low-temperature conditions. Alternatively, we finally found that the molecular conformation change upon aggregation induced intramolecular charge transfer emission and played a significant role for the AIE phenomenon of these closed-form rhodamine derivatives. The application of these closed-form rhodamine-based AIE probe in food spoilage detection was also explored. Aggregation-induced emission ; Intramolecular force ; Rhodamine ; Luminescence ; Chemistry ; Molecule ; Materials science ; Nanotechnology ; Chemical physics ; Photochemistry ; Fluorescence ; Stereochemistry ; Optoelectronics ; Organic chemistry ; Physics ; Optics Luminescence and Fluorescent Materials ; Molecular Sensors and Ion Detection ; Organic Light-Emitting Diodes Research
Authors: Peng Peng | Henry Z. H. Jiang | Stephanie Collins | Hiroyasu Furukawa | Jeffrey R. Long | Hanna Breunig
Source: ACS Energy Letters (article, 2024-05-14)
Field: Chemistry — Inorganic Chemistry

Long Duration Energy Storage Using Hydrogen in Metal–Organic Frameworks: Opportunities and Challenges Materials-based H<sub>2</sub> storage plays a critical role in facilitating H<sub>2</sub> as a low-carbon energy carrier, but there remains limited guidance on the technical performance necessary for specific applications. Metal-organic framework (MOF) adsorbents have shown potential in power applications, but need to demonstrate economic promises against incumbent compressed H<sub>2</sub> storage. Herein, we evaluate the potential impact of material properties, charge/discharge patterns, and propose targets for MOFs' deployment in long-duration energy storage applications including backup, load optimization, and hybrid power. We find that state-of-the-art MOF could outperform cryogenic storage and 350 bar compressed storage in applications requiring ≤8 cycles per year, but need ≥5 g/L increase in uptake to be cost-competitive for applications that require ≥30 cycles per year. Existing challenges include manufacturing at scale and quantifying the economic value of lower-pressure storage. Lastly, future research needs are identified including integrating thermodynamic effects and degradation mechanisms. Hydrogen storage ; Energy storage ; Process engineering ; Carbon capture and storage (timeline) ; Duration (music) ; Backup ; Software deployment ; Energy carrier ; Computer science ; Metal-organic framework ; Environmental science ; Reliability engineering ; Nanotechnology ; Materials science ; Power (physics) ; Hydrogen ; Renewable energy ; Engineering ; Chemistry ; Electrical engineering ; Adsorption ; Database Metal-Organic Frameworks: Synthesis and Applications ; MXene and MAX Phase Materials ; Carbon dioxide utilization in catalysis
Authors: Nilam Qureshi | Vivek Dhand | Shaik Subhani | Rajendran Senthil Kumar | Nagarajan Raghavan | Sanghoon Kim | Jaehyeok Doh
Source: Advanced Materials Technologies (article, 2024-04-18)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Exploring Conductive Filler‐Embedded Polymer Nanocomposite for Electrical Percolation via Electromagnetic Shielding‐Based Additive Manufacturing Abstract This review delves into the progress made in additive manufacturing through the incorporation of conductive fillers in nanocomposites. Emphasizing the critical role of percolation and conductivity, the study highlights advancements in material selection, particularly focusing on carbon nanotubes with low percolation thresholds. The practical applications of these nanocomposites in additive manufacturing polymer composites are explored, emphasizing the understanding of percolation thresholds. Furthermore, the present review paper investigates the potential of these materials as lightweight alternatives for electromagnetic interference shielding (EMI), particularly in key sectors such as automotive and aerospace industries. The integration of advanced materials, modeling techniques, and standardization is discussed as pivotal for successful implementation. Overall, the review underscores the significant strides in enhancing electrical properties and electromagnetic interference shielding capabilities through the strategic use of conductive filler nanocomposites in additive manufacturing. Materials science ; Nanocomposite ; Percolation threshold ; Percolation (cognitive psychology) ; Electromagnetic shielding ; Filler (materials) ; Electrical conductor ; Aerospace ; Composite material ; Electromagnetic interference ; Carbon nanotube ; EMI ; Polymer nanocomposite ; Automotive industry ; Conductive polymer ; Polymer ; Electrical resistivity and conductivity ; Computer science ; Electrical engineering ; Engineering ; Aerospace engineering ; Telecommunications Electromagnetic wave absorption materials ; Additive Manufacturing and 3D Printing Technologies ; Dielectric materials and actuators
Authors: Jinfan Wei | Lingyun Ni | Lan Luo | Mengchao Chen | Minghui You | Yu Sun | Tianli Hu
Source: Agronomy (article, 2024-11-09)
Field: Chemistry — Analytical Chemistry

GFS-YOLO11: A Maturity Detection Model for Multi-Variety Tomato In order to solve the problems that existing tomato maturity detection methods struggle to take into account both common tomato and cherry tomato varieties in complex field environments (such as light change, occlusion, and fruit overlap) and the model size being too large, this paper proposes a lightweight tomato maturity detection model based on improved YOLO11, named GFS-YOLO11. In order to achieve a lightweight network, we propose the C3k2_Ghost module to replace the C3K2 module in the original network, which can ensure a feature extraction capability and reduce model computation. In order to compensate for the potential feature loss caused by the light weight, this paper proposes a feature-refining module (FRM). After embedding each feature extraction module in the trunk network, it improves the feature expression ability of common tomato and cherry tomato in complex field environments by means of depth-separable convolution, multi-scale pooling, and channel attention and spatial attention mechanisms. In addition, in order to further improve the detection ability of the model for tomatoes of different sizes, the SPPFELAN module is also proposed in this paper. In combining the advantages of SPPF and ELAN, multiple parallel SPPF branches are used to extract features of different levels and perform splicing and fusion. To verify the validity of the method, this study constructed a dataset of 1061 images of common and cherry tomatoes, covering tomatoes in six ripened categories. The experimental results show that the performance of the GFS-YOLO11 model is significantly improved compared with the original model; the P, R, mAP50, and MAP50-95 increased by 5.8%, 4.9%, 6.2%, and 5.5%, respectively, and the number of parameters and calculation amount were reduced by 35.9% and 22.5%, respectively. The GFS-YOLO11 model is lightweight while maintaining high precision, can effectively cope with complex field environments, and more conveniently meet the needs of real-time maturity detection of common tomatoes and cherry tomatoes. Maturity (psychological) ; Variety (cybernetics) ; Capability Maturity Model ; Biology ; Computer science ; Artificial intelligence ; Political science Spectroscopy and Chemometric Analyses ; Banana Cultivation and Research ; Leaf Properties and Growth Measurement
Authors: Hui Peng | He Wang | Weijia Kong | Jinyan Li | Wilson Wen Bin Goh
Source: Nature Communications (article, 2024-05-09)
Field: Chemistry — Spectroscopy

Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference Identification of differentially expressed proteins in a proteomics workflow typically encompasses five key steps: raw data quantification, expression matrix construction, matrix normalization, missing value imputation (MVI), and differential expression analysis. The plethora of options in each step makes it challenging to identify optimal workflows that maximize the identification of differentially expressed proteins. To identify optimal workflows and their common properties, we conduct an extensive study involving 34,576 combinatoric experiments on 24 gold standard spike-in datasets. Applying frequent pattern mining techniques to top-ranked workflows, we uncover high-performing rules that demonstrate optimality has conserved properties. Via machine learning, we confirm optimal workflows are indeed predictable, with average cross-validation F1 scores and Matthew's correlation coefficients surpassing 0.84. We introduce an ensemble inference to integrate results from individual top-performing workflows for expanding differential proteome coverage and resolve inconsistencies. Ensemble inference provides gains in pAUC (up to 4.61%) and G-mean (up to 11.14%) and facilitates effective aggregation of information across varied quantification approaches such as topN, directLFQ, MaxLFQ intensities, and spectral counts. However, further development and evaluation are needed to establish acceptable frameworks for conducting ensemble inference on multiple proteomics workflows. Workflow ; Inference ; Computer science ; Data mining ; Identification (biology) ; Proteome ; Proteomics ; Artificial intelligence ; Machine learning ; Bioinformatics ; Biology ; Database Advanced Proteomics Techniques and Applications ; Bioinformatics and Genomic Networks ; Gene expression and cancer classification
Authors: G. L. van de Stolpe | Damian Kwiatkowski | C. E. Bradley | J. Randall | M. H. Abobeih | S. Alexander Breitweiser | Lee C. Bassett | Matthew Markham | Daniel J. Twitchen | T. H. Taminiau
Source: Nature Communications (article, 2024-03-05)
Field: Materials Science — Materials Chemistry

Mapping a 50-spin-qubit network through correlated sensing Spins associated to optically accessible solid-state defects have emerged as a versatile platform for exploring quantum simulation, quantum sensing and quantum communication. Pioneering experiments have shown the sensing, imaging, and control of multiple nuclear spins surrounding a single electron spin defect. However, the accessible size of these spin networks has been constrained by the spectral resolution of current methods. Here, we map a network of 50 coupled spins through high-resolution correlated sensing schemes, using a single nitrogen-vacancy center in diamond. We develop concatenated double-resonance sequences that identify spin-chains through the network. These chains reveal the characteristic spin frequencies and their interconnections with high spectral resolution, and can be fused together to map out the network. Our results provide new opportunities for quantum simulations by increasing the number of available spin qubits. Additionally, our methods might find applications in nano-scale imaging of complex spin systems external to the host crystal. Spins ; Qubit ; Spin (aerodynamics) ; Diamond ; Quantum network ; Physics ; Quantum sensor ; Spin engineering ; Nitrogen-vacancy center ; Quantum ; Quantum computer ; Condensed matter physics ; Materials science ; Quantum mechanics ; Electron ; Spin polarization Diamond and Carbon-based Materials Research ; Electronic and Structural Properties of Oxides ; Atomic and Subatomic Physics Research
Authors: Zi‐Lan Deng | Meng-Xia Hu | Shanfeng Qiu | Xianfeng Wu | Adam Overvig | Xiangping Li | Andrea Alù
Source: Nature Communications (article, 2024-03-16)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Poincaré sphere trajectory encoding metasurfaces based on generalized Malus’ law As a fundamental property of light, polarization serves as an excellent information encoding carrier, playing significant roles in many optical applications, including liquid crystal displays, polarization imaging, optical computation and encryption. However, conventional polarization information encoding schemes based on Malus' law usually consider 1D polarization projections on a linear basis, implying that their encoding flexibility is largely limited. Here, we propose a Poincaré sphere (PS) trajectory encoding approach with metasurfaces that leverages a generalized form of Malus' law governing universal 2D projections between arbitrary elliptical polarization pairs spanning the entire PS. Arbitrary polarization encodings are realized by engineering PS trajectories governed by either arbitrary analytic functions or aligned modulation grids of interest, leading to versatile polarization image transformation functionalities, including histogram stretching, thresholding and image encryption within non-orthogonal PS loci. Our work significantly expands the encoding dimensionality of polarization information, unveiling new opportunities for metasurfaces in polarization optics for both quantum and classical regimes. Polarization (electrochemistry) ; Optics ; Computer science ; Physics Metamaterials and Metasurfaces Applications ; Orbital Angular Momentum in Optics ; Advanced Antenna and Metasurface Technologies
Authors: Monika Dobrzyńska‐Mizera | Jagan Mohan Dodda | Xiaohua Liu | Monika Knitter | Reece N. Oosterbeek | Pablo Salinas | Eduardo Pozo | Ana Marina Ferreira | Emmanuel Rotimi Sadiku
Source: Advanced Healthcare Materials (review, 2024-09-04)
Field: Materials Science — Biomaterials

Engineering of Bioresorbable Polymers for Tissue Engineering and Drug Delivery Applications Herein, the recent advances in the development of resorbable polymeric-based biomaterials, their geometrical forms, resorption mechanisms, and their capabilities in various biomedical applications are critically reviewed. A comprehensive discussion of the engineering approaches for the fabrication of polymeric resorbable scaffolds for tissue engineering, drug delivery, surgical, cardiological, aesthetical, dental and cardiovascular applications, are also explained. Furthermore, to understand the internal structures of resorbable scaffolds, representative studies of their evaluation by medical imaging techniques, e.g., cardiac computer tomography, are succinctly highlighted. This approach provides crucial clinical insights which help to improve the materials' suitable and viable characteristics for them to meet the highly restrictive medical requirements. Finally, the aspects of the legal regulations and the associated challenges in translating research into desirable clinical and marketable materials of polymeric-based formulations, are presented. Tissue engineering ; Drug delivery ; Biomedical engineering ; Nanotechnology ; Computer science ; Materials science ; Medicine biodegradable polymer synthesis and properties ; Electrospun Nanofibers in Biomedical Applications ; Additive Manufacturing and 3D Printing Technologies
Authors: Angelika Zaszczyńska | Konrad Zabielski | Arkadiusz Gradys | Tomasz Kowalczyk | Paweł Sajkiewicz
Source: Polymers (review, 2024-10-02)
Field: Materials Science — Biomaterials

Piezoelectric Scaffolds as Smart Materials for Bone Tissue Engineering Bone repair and regeneration require physiological cues, including mechanical, electrical, and biochemical activity. Many biomaterials have been investigated as bioactive scaffolds with excellent electrical properties. Amongst biomaterials, piezoelectric materials (PMs) are gaining attention in biomedicine, power harvesting, biomedical devices, and structural health monitoring. PMs have unique properties, such as the ability to affect physiological movements and deliver electrical stimuli to damaged bone or cells without an external power source. The crucial bone property is its piezoelectricity. Bones can generate electrical charges and potential in response to mechanical stimuli, as they influence bone growth and regeneration. Piezoelectric materials respond to human microenvironment stimuli and are an important factor in bone regeneration and repair. This manuscript is an overview of the fundamentals of the materials generating the piezoelectric effect and their influence on bone repair and regeneration. This paper focuses on the state of the art of piezoelectric materials, such as polymers, ceramics, and composites, and their application in bone tissue engineering. We present important information from the point of view of bone tissue engineering. We highlight promising upcoming approaches and new generations of piezoelectric materials. Piezoelectricity ; Materials science ; Tissue engineering ; Regeneration (biology) ; Biomedical engineering ; Bone tissue ; Bone healing ; Scaffold ; Nanotechnology ; Composite material ; Engineering ; Medicine ; Cell biology ; Anatomy ; Biology Silk-based biomaterials and applications ; Bone Tissue Engineering Materials ; Advanced Sensor and Energy Harvesting Materials
Authors: Rong Zheng | Huiling Lu | Pengjie Zhou | Yulong Ying | Longhua Li | Yu Liu
Source: Chemical Engineering Journal (article, 2024-05-27)
Field: Materials Science — Electronic, Optical and Magnetic Materials

In-situ construction of P-doped Ni0.5Cu0.5Co2O4 with 1D/2D hierarchical nanostructure for high-performance hybrid supercapacitors Supercapacitor ; Nanostructure ; In situ ; Materials science ; Doping ; Nanotechnology ; Chemical engineering ; Optoelectronics ; Chemistry ; Engineering ; Electrode ; Capacitance Supercapacitor Materials and Fabrication ; Advancements in Battery Materials ; Advanced battery technologies research
Authors: Shixiang Zhou | Yijing Zhao | Kaixi Zhang | Yanran Xun | Xueyu Tao | Wentao Yan | Wei Zhai | Jun Ding
Source: Nature Communications (article, 2024-08-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Impact-resistant supercapacitor by hydrogel-infused lattice The safety of energy storage devices is increasingly crucial due to the growing requirements for application under harsh conditions. Effective methods for enhancing robustness without compromising functionality are necessary. Here we present an impact-resistant, ready-to-use supercapacitor constructed from self-healable hydrogel electrolyte-infused lattice electrodes. Three-dimensional-printed carbon-coated silicon oxycarbide current collectors provide mechanical protection, with compressive stress, Young's modulus, and energy absorption up to 70.61 MPa, 2.75 GPa, and 92.15 kJ/m<sup>3</sup>, respectively. Commercially viable polyaniline and self-healable polyvinyl alcohol hydrogel are used as active coatings and electrolytes. I-wrapped package structured supercapacitor electrode exhibits a static specific capacitance of 585.51 mF/cm<sup>3</sup> at 3 mA/cm<sup>3</sup>, with an energy density of 97.63 μWh/cm<sup>3</sup> at a power density of 0.5 mW/cm<sup>3</sup>. It maintains operational integrity under extreme conditions, including post-impact with energy of 0.3 J/cm<sup>3</sup>, dynamic loading ranging from 0 to 18.83 MPa, and self-healing after electrolyte damage, demonstrating its promise for applications in extreme environments. Supercapacitor ; Materials science ; Polyvinyl alcohol ; Electrolyte ; Energy storage ; Composite material ; Electrode ; Specific energy ; Capacitance ; Power density ; Polyaniline ; Polymer ; Nanotechnology ; Power (physics) ; Chemistry Supercapacitor Materials and Fabrication ; Advanced Sensor and Energy Harvesting Materials ; Advanced battery technologies research