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science Bulletin 2023年第23期68卷 2954-2961,M0005页

作者：沈万姗刘洋 Luke Grater So Min Park Haoyue Wan 俞燕君潘嘉琳孔繁诚田起生周东营刘泽柯马万里孙宝全 Sjoerd Hoogland 王亚坤廖良生 Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou 215123China Department of Electrical and Computer Engineering University of TorontoToronto M5S 3G4Canada Macao Institute of Materials Science and Engineering Macao University of Science and TechnologyMacao 999078China

近红外发光二极管在通信、传感和成像等领域的应用日益广泛.量子点作为一种有潜力的发光材料,在近红外发光范围内具有独特的优势.然而,现有的近红外量子点发光二极管存在一个严重的问题,即它们对发射层厚度非常敏感.为了解决这个问题,... 详细信息

近红外发光二极管在通信、传感和成像等领域的应用日益广泛.量子点作为一种有潜力的发光材料,在近红外发光范围内具有独特的优势.然而,现有的近红外量子点发光二极管存在一个严重的问题,即它们对发射层厚度非常敏感.为了解决这个问题,本文采用了一系列创新方法.通过引入核壳结构和表面处理,使光致发光量子效率达到80%,成功提高了载流子的传输性能并且增加了量子点的辐射复合速率,从而获得具有对发光层厚度不敏感的高效近红外量子点发光二极管.最终作者制备得到了在40-220 nm的范围内表现出性能稳定的近红外量子点发光二极管,该发光器件的发光峰波长位于1025 nm处,最高外量子效率达到11.5%.这项研究为近红外发光领域的发展提供了有力的支持,为未来光电子学和光通信技术的进步铺平了道路.

关键词： Quantum dots Near-infrared Light-emitting diodes Electroluminescence

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A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face

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Journal of Rock Mechanics and Geotechnical engineering 2022年第4期14卷 1077-1088页

作者： Jiayao Chen Yifeng Chen Anthony G.Cohn Hongwei Huang Jianhong Man Lijun Wei Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical EngineeringTongji UniversityShanghai200092China School of Computing University of LeedsLeedsLS29JTUK Department of Computer Science and Technology Tongji UniversityShanghai211985China School of Civil Engineering Shandong UniversityJinan250061China Luzhong Institute of Safety Environmental Protection Engineering and Materialsand School of Mechanical and Electrical EngineeringQingdao University of Science and TechnologyQingdao255000China

This paper presents a novel integrated method for interactive characterization of fracture spacing in rock tunnel *** main procedure includes four steps:(1)Automatic extraction of fracture traces,(2)digitization of trace maps,(3)disconnection and grouping of traces,and(4)interactive measurement of fracture set spacing,total spacing,and surface rock quality designation(S-RQD)*** evaluate the performance of the proposed method,sample images were obtained by employing a photogrammetrybased scheme in tunnel *** were then conducted to determine the optimal parameter values(*** threshold,angle threshold,and number of fracture trace grouping)for characterizing rock fracture *** applying the identified optimal parameters involved in the model,the proposed method could lead to excellent qualitative results to a new tunnel *** perform a quantitative analysis,three methods(***,straightening,and the proposed method)were employed in the same study and comparisons were *** proposed method agrees well with the field measurement in terms of the maximum and average values of measured spacing ***,the proposed method has reasonably good accuracy and interactive advantage for estimating the ultimate fracture spacing and *** can be a possible extension of existing methods for fracture spacing characterization for two-dimensional(2D)rock tunnel faces.

关键词： Fracture spacing Rock tunnel Image processing Fracture set grouping

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Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning

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npj Computational materials 2023年第1期9卷 1402-1410页

作者： Ying Huang David Perlmutter Andrea Fei-Huei Su Jerome Quenum Pavel Shevchenko Dilworth Y.Parkinson Iryna V.Zenyuk Daniela Ushizima Department of Materials Science&Engineering University of California IrvineIrvineCaliforniaUSA National Fuel Cell Research Center University of California IrvineIrvineCaliforniaUSA Applied Math and Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Department of Chemical&Biomolecular Engineering University of California IrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of California BerkeleyBerkeleyCaliforniaUSA Advanced Photon Source Argonne National Laboratory9700 South Cass AvenueLemontIllinoisUSA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Berkeley Institute for Data Science University of California BerkeleyBerkeleyCaliforniaUSA

Operando X-ray micro-computed tomography(µCT)provides an opportunity to observe the evolution of Li structures inside pouch *** is an essential step to quantitatively analyzingµCT datasets but is challenging to achieve on operando Li-metal battery datasets due to the low X-ray attenuation of the Li metal and the sheer size of the ***,we report a computational approach,batteryNET,to train an Iterative Residual U-Net-based network to detect Li *** resulting semantic segmentation shows singular Li-related component changes,addressing diverse morphologies in the *** addition,visualizations of the dead Li are provided,including calculations about the volume and effective thickness of electrodes,deposited Li,and redeposited *** also report discoveries about the spatial relationships between these *** approach focuses on a method for analyzing battery performance,which brings insight that significantly benefits future Li-metal battery design and a semantic segmentation transferrable to other datasets.

关键词： battery lithium state

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Analysis of Gait Data Based on Deep Learning to Predict Multiple Balance Scale Scores

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IEEE Sensors Journal 2024年第1期24卷 920-930页

作者： Lin, Chueh-Ho Peng, Chih-Wei Lee, I-Jung Wu, Chi-Ming Lin, Bor-Shing Taipei Medical University International Ph.D. Program in Gerontology and Long-Term Care Taipei City110 Taiwan Taipei Medical University Research Center in Nursing Clinical Practice Wan Fang Hospital Taipei City110 Taiwan Taipei Medical University School of Biomedical Engineering College of Biomedical Engineering Taipei City110 Taiwan Taipei Medical University School of Gerontology and Long-Term Care College of Nursing Taipei City110 Taiwan National Taipei University Department of Computer Science and Information Engineering New Taipei City237 Taiwan National Taipei University College of Electrical Engineering and Computer Science New Taipei City237 Taiwan

Unbalanced walking is increasingly common among older adults;therefore, routinely assessing the balance of older adults is crucial. The traditional method of assessing balance uses scales, requires the supervision of a physical therapist (PT), and is time-consuming. The present study, therefore, proposes a deep learning (DL) model architecture that combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network model to predict the scores of three scales, namely the Berg balance scale (BBS), timed up and go (TUG), and single-leg stance (SLS). The gait data of 15 m of walking were collected from seven inertial measurement units (IMUs) and input into the CNN-LSTM model for evaluation. The BBS and TUG only require the participants to wear two IMUs on the left and right thighs, respectively, for accurate predictions. The mean absolute errors (MAEs) of predicting the scores of the BBS and TUG are 1.2562 and 1.4016 s, respectively;however, the MAE of score predictions of SLS is higher than that of the BBS and TUG, indicating that gait data cannot be used for assessing SLS;moreover, participants only wear one IMU on the right calf for BBS and TUG evaluations, which yield MAEs of 1.4334 and 1.5229 s, respectively. The proposed system can quickly and accurately predict the scores of the BBS and TUG. The proposed model can assist PTs with making clinical decisions. © 2001-2012 IEEE.

关键词： Long short-term memory

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Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope with Patterned Optogenetic Stimulation

Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope wit...

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Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Futia, Gregory L. Zohrabi, Mo McCullough, Connor Teel, Alec de Souza, Fabio Simoes Oroke, Ryan Bright, Victor M. Restrepo, Diego Gopinath, Juliet T. Gibson, Emily A. Department of Bioengineering University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Cell and Developmental Biology University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Department of Mechanical Engineering University of Colorado BoulderCO80309 United States Department of Physics University of Colorado BoulderCO80309 United States Materials Science and Engineering Program University of Colorado BoulderCO80309 United States

Miniaturized microscopes for monitoring neural activity are an indispensable tool for neuroscience research. We present a novel MEMS based miniature microscope with patterned optogenetic stimulation capabilities enabl... 详细信息

ISBN: (纸本)9781957171340

关键词： Microscopes

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Gate-Tunable Resonant Tunneling in a Dual-Gated Twist-Controlled Double Monolayer Graphene-hBN Heterostructure

Gate-Tunable Resonant Tunneling in a Dual-Gated Twist-Contro...

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2022 Device Research Conference, DRC 2022

作者： Lin, Kenneth Prasad, Nitin Burg, G. William Watanabe, Kenji Taniguchi, Takashi Tutuc, Emanuel University of Texas at Austin Department of Electrical and Computer Engineering AustinTX78758 United States National Institute of Materials Science Research Center for Functional Materials Ibaraki305-0044 Japan National Institute of Materials Science International Center for Materials Nanoarchitectonics Ibaraki305-0044 Japan

ISBN: (数字)9781665498838

ISBN: (纸本)9781665498838

Van der Waals heterostructures of two-dimensional (2D) crystals are a versatile platform for electron physics and device applications. An emerging device that departs markedly from the field-effect transistor, and has shown potential applications for logic [1], memory [2], and security [3] is the interlayer resonant tunneling field-effect transistor (ITFET), consisting of two independently contacted 2D layers separated by a tunnel barrier. In such devices, energy and momentum conservation during tunneling leads to interlayer voltage-current characteristics with gate-tunable negative differential resistance (NDR). ITFET demonstrations include single-gated double monolayer or double bilayer graphene separated by hexagonal boron-nitride (hBN) [4]-[5], dual-gated double bilayer graphene separated by WSe2 [6], and dual-gated double WSe2 separated by hBN barriers [7]. Here, we present a combined experimental and modeling study of dual-gated double monolayer graphene-hBN heterostructures, where the crystals axes of the two graphene electrodes are rotationally aligned, thereby enabling resonant tunneling and gate-tunable NDR. © 2022 IEEE.

关键词： Monolayers

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Numerical Investigation of Si Nanowires Integrated Perovskite for Efficient Tandem Solar Cell 24

Numerical Investigation of Si Nanowires Integrated Perovskit...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： El-Bashar, R. Hameed, Mohamed Farhat O. Abdelhamid, Hamdy Dai, Jun Obayya, S.S.A. Cairo University Giza12613 Egypt Center of Nanotechnology Zewail City of Science and Technology Giza12578 Egypt College of Engineering and Information Technology Ajman University Electrical and Computer Engineering Department United Arab Emirates College of Science Jiangsu University of Science and Technology Department of Physics Zhenjiang212100 China Centre for Photonics and Smart Materials Zewail City of Science and Technology Giza Egypt

ISBN: (纸本)9798350384307

In this study, tandem solar cell (SC) based on MAPbI3-prevoskiteISi-nanowires (P|Si-NWs) structure is proposed and numerically investigated. The simulation results are calculated using the finite difference time domain (FDTD) method. The optical efficiency of the proposed tandem SC is increased to 40% compared to 37.5% for the counterpart planar tandem structure. This is owing to the high absorption coefficient and optimum MAPbI3 band gap of the perovskite SC. Further, the supported wave-guided modes and excited Bloch modes due to the periodic SiNWs help increase the optical absorption through the suggested SC. Further, the perovskite thickness can be controlled to efficiently balance the photo-generated current with the bottom Si layer with improved output efficiency. The Jph of the reported SC is equal to 13.1 mA/cm2 with an enhancement of 37.5% relative to planar P|Si structure. Consequently, the proposed tandem PSiNWs structure offers better electrical performance with reduced Si-material and low manufacturing cost. © 2023 IEEE.

关键词： Bloch modes Energy harvesting Finite difference time domain Nanowires Perovskite solar cell

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Localization of Crop Damages Utilizing a Wake-Up Gas Sensor Network 22

Localization of Crop Damages Utilizing a Wake-Up Gas Sensor ...

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22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

作者： Noh, Seungbeom Tope, Sayali Sium, Farhan Sadik Khan, Shakir-Ul Haque Karkhanis, Mohit Wang, Leo Deshpande, Adwait Dalapati, Rana Mural, Ravi V. Mastrangelo, Carlos H. Ji, Mingyu Zang, Ling Schnable, James C. Kim, Hanseup University Of Utah Electrical And Computer Engineering Salt Lake CityUT84112 United States University Of Utah Materials Science And Engineering Salt Lake CityUT84112 United States University Of Nebraska Department Of Agronomy And Horticulture LincolnNE68588 United States

ISBN: (纸本)9784886864352

This paper reports the initial demonstration of on-field crop damage prediction through a network of low power gas sensors that were deployed in an actual sorghum field and detected crop stress molecules, specifically hexanal. Such detection could replace current farm-scouting methods that are mostly manual and help reduce production loss of biofuel crops during a farming period. The initially-deployed gas sensor network consisted of a 2×3 array with a 7-meter interspace. When the leaves of sorghums were cut at a random location within the network, three sensors in the gas sensor network responded at 45, 62, and 72 minutes, respectively, allowing us to estimate an origination zone within an area of 21.7 m2 out of the total monitoring farm area of 294 m2. This demonstration proves the potential of precise localization of plant damages through the use of the gas sensor network. © 2023 IEEJ.

关键词： biofuel and sorghum gas sensor network Localization of crop damage smart farming

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Integrating Sustainability and Industry 4.0: A Framework for Sustainable Logistics 4.0

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Circular Economy and Sustainability 2025年 1-39页

作者： Di Nardo, Mario Gallab, Maryam Murino, Teresa Wu, Jing Pandey, Shatrudhan Facoltàdi Ingegneria Università Telematica Pegaso Rome 00186 Italy MIS-LISTD Laboratory Computer Science Department Mines-Rabat School (ENSMR) Rabat 10000 Morocco Department of Chemical Materials and Industrial Production Engineering University of Naples “Federico II” Naples Italy Department of Electrical and Photonics Engineering Technical University of Denmark Kgs. Lyngby 2800 Denmark Marwadi University Research Center Faculty of Management Studies Marwadi University Gujarat Rajkot 360003 India

As society becomes more aware of environmental and social issues, supply chain stakeholders increasingly consider these factors alongside efficiency, cost, and time. The logistics industry must adapt by integrating Industry 4.0 technologies and sustainability practices. Sustainable Logistics 4.0, though nascent, is gaining traction for enhancing sustainability through digital interventions. This study conducted a comprehensive literature review and bibliometric network analysis using data extracted from the Scopus and Google Scholar databases, covering the period from 2013 to 2023, focusing on the integration of sustainability, Industry 4.0, and logistics. Noting a gap in conceptual frameworks, the paper performs a SWOT analysis to identify key factors and proposes a framework for digitalizing sustainable logistics and addressing emerging challenges. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Circular Economy Industry 4.0 Logistics Sustainability TBL

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Aperiodicity and disorder as systematic spectral tuning mechanisms for plasmonic nanostructures

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Optics Express 2025年第11期33卷 23227-23243页

作者： Ozaktas, Ekin Gunes Chintapalli, Sreyas O’Reilly, Eliza Thon, Susanna M. Department of Electrical Engineering Ginzton Laboratory Stanford University United States Department of Electrical and Computer Engineering Johns Hopkins University United States Department of Physics and Astronomy Johns Hopkins University United States Department of Applied Mathematics and Statistics Johns Hopkins University United States Department of Materials Science and Engineering Johns Hopkins University United States

We demonstrate how aperiodicity and disorder can be used as quantifiable mechanisms for tuning the spectral response of plasmonic nanostructure arrays. We tune the extinction spectra of these arrays using deterministically aperiodic (quasicrystal), perturbed lattice (Bernoulli point process, frozen phonon disorder, long-range frozen phonon disorder), negatively correlated (Strauss point process), and positively correlated (Log Gaussian Cox point process) assemblies. We quantify this tuning by considering the local variance of the extinction spectra, demonstrating two orders of magnitude of tunability. Our structures have potential applications in plasmonic or waveguide-based optoelectronic devices such as photovoltaics and photosensing, where spectral tuning is critical to performance. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Phototubes

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