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Efficient Photothermal Catalytic Oxidation Enabled by Three-Dimensional Nanochannel Substrates

Environmental Science and Technology 2024年第11期58卷 5153-5161页

作者： Li, Yifei Zhang, Qianpeng Chong, Yanan Huang, Wei-Hsiang Chen, Chi-Liang Jin, Xiaojing Chen, Guangxu Fan, Zhiyong Qiu, Yongcai Ye, Daiqi School of Environment and Energy State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control South China University of Technology Guangdong Guangzhou510000 China State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai200433 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong State Key Laboratory of Advanced Displays and Optoelectronics Technologies The Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong National Synchrotron Radiation Research Center 101 Hsin-Ann Road Hsinchu Science Park Hsinchu30076 Taiwan Taipei10607 Taiwan College of Light Chemical Industry and Materials Engineering Shunde Polytechnic Foshan528333 China

Photothermal catalysis exhibits promising prospects to overcome the shortcomings of high-energy consumption of traditional thermal catalysis and the low efficiency of photocatalysis. However, there is still a challenge to develop catalysts with outstanding light absorption capability and photothermal conversion efficiency for the degradation of atmospheric pollutants. Herein, we introduced the Co3O4 layer and Pt nanoclusters into the three-dimensional (3D) porous membrane through the atomic layer deposition (ALD) technique, leading to a Pt/Co3O4/AAO monolithic catalyst. The 3D ordered nanochannel structure can significantly enhance the solar absorption capacity through the light-trapping effect. Therefore, the embedded Pt/Co3O4 catalyst can be rapidly heated and the O2 adsorbed on the Pt clusters can be activated to generate sufficient O2- species, exhibiting outstanding activity for the diverse VOCs (toluene, acetone, and formaldehyde) degradation. Optical characterization and simulation calculation confirmed that Pt/Co3O4/AAO exhibited state-of-the-art light absorption and a notable localized surface plasmon resonance (LSPR) effect. In situ diffuse reflectance infrared Fourier transform spectrometry (in situ DRIFTS) studies demonstrated that light irradiation can accelerate the conversion of intermediates during toluene and acetone oxidation, thereby inhibiting byproduct accumulation. Our finding extends the application of AAO’s optical properties in photothermal catalytic degradation of air pollutants. © 2024 American chemical Society.

关键词： Catalysis

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Circular management of perovskite solar cells using green solvents: from recycling and reuse of critical components to life cycle assessment

EES Solar

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EES Solar 2025年第3期1卷 378-390页

作者： Valentina Larini Changzeng Ding Bingzheng Wang Riccardo Pallotta Fabiola Faini Lorenzo Pancini Zhenhua Zhao Silvia Cavalli Matteo Degani Michele De Bastiani Filippo Doria Chang-Qi Ma Fengqi You Giulia Grancini Department of Chemistry INSTM University of Pavia Via T. Taramelli 14 27100 Pavia Italy Innovation Laboratory & Printable Electronics Research Center Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO) Chinese Academy of Sciences (CAS) Ruoshui Road 398 Suzhou China Systems Engineering College of Engineering Cornell University Ithaca NY 14853 USA Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca NY 14853 USA Cornell Atkinson Center for Sustainability Cornell University Ithaca NY 14853 USA

Environmental needs and international regulations urgently ask for a robust practice for the recycling and reusing of critical components of perovskite solar cells (PSCs) to reduce the primary material demand and energy consumption. This work demonstrates a circular approach based on green solvents to refurbish critical materials of PSCs, i.e. SnO₂-coated indium tin oxide substrates, PbI₂ and Spiro-OMeTAD. Using such recovered materials (and purifying the employed solvents) we fabricate PSCs in an iterative way keeping 98.4% of the initial average efficiency. This comes from an efficient re-utilization of single components, as rationalized by investigating interfaces and device properties upon each recycling step. Concomitantly, we compare the proposed recovery strategy with the conventional landfill treatment for PSCs and silicon photovoltaics through a comparative life cycle assessment (LCA). LCA results reveal that the recovery scenario is preferable to landfilling in reducing energy requirements and environmental footprint.

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An autoregressive multiple model probabilistic framework for the detection of SSVePs in brain-computer interfaces 13

An autoregressive multiple model probabilistic framework for...

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13th International Conference on Bio-Inspired systems and Signal Processing, BIOSIGNALS 2020 - Part of 13th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2020

作者： Zerafa, Rosanne Camilleri, Tracey Falzon, Owen Camilleri, Kenneth P. Department of Systems and Control Engineering Faculty of Engineering University of Malta Msida Malta Centre for Biomedical Cybernetics University of Malta Msida Malta

ISBN: (纸本)9789897583988

This work investigates a novel autoregressive multiple model (AR-MM) probabilistic framework for the detection of steady-state visual evoked potentials (SSVEPs) in brain-computer interfaces (BCIs). The proposed method is compared to standard SSVEP detection techniques using a 12-class SSVEP dataset recorded from 10 subjects. The results, obtained from a single-channel analysis, reveal that the AR-MM probabilistic framework significantly improves the SSVEP detection performance compared to the standard single-channel power spectral density analysis (PSDA) method. Specifically, an average classification accuracy of 82.02 ± 16.21 % and an information transfer rate (ITR) of 48.22 ± 17.25 bpm are obtained with a 2 s period for SSVEP detection with the AR-MM probabilistic framework. These results are found to be on average only 2.29 % and 3.73 % lower in classification accuracy compared to the state-of-the-art multichannel SSVEP detection methods, specifically the canonical correlation analysis (CCA) and the filter bank canonical correlation analysis (FBCCA) methods, respectively. In terms of training, it is shown that the proposed approach requires only a few seconds of data to train each model. This study revealed the potential of using the AR-MM probabilistic approach to distinguish between different classes using single-channel SSVEP data. The proposed method is particularly appealing for practical use in real-world BCI applications where a minimal amount of channels and training data are desirable. Copyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Electroencephalography

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On-The-Fly CNC interpolation using frequency-domain FFT-based filtering

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Procedia CIRP 2022年 107卷 1571-1576页

作者： Rob Ward Burak Sencer George Panoutsos Erdem Ozturk Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK Advanced Manufacturing Research Centre University of Sheffield Rotherham S60 5TZ UK Mechanical Engineering Department Oregon State University Corvallis OR USA

Finite Impulse Response filtering is increasingly becoming the interpolation method of choice in modern computer numerically controlled (CNC) machining centres. Recently, On-The-Fly (OTF) interpolation was introduced using direct convolution to adaptively change the FIR flter time constant throughout the toolpath. In this paper, it is shown that computational advantages can be gained by using frequency domain methods instead. This paper introduces a novel on-the-fly CNC interpolation method using Fast Fourier Transforms (FFTs). The presented OTF FFT method demonstrates up to 10 times increase in computational speed than the direct convolution OTF method. The effectiveness of the proposed method is validated in simulation based case studies.

关键词： CNC Interpolation FFT Convolution Motion control

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3D Vision Based Lamination Gap Detection of Carbon Fiber Composite

3D Vision Based Lamination Gap Detection of Carbon Fiber Com...

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IEEE International Conference on Real-time Computing and Robotics (RCAR)

作者： Yuanye Xu Libiao Yuan Wei Liang Yutuo Yang Shuai Liu Ziming Zeng Yinlong Zhang Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China College of Information Engineering Shenyang University of Chemical Technology Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Automotive and Transportation Engineering Shenzhen Polytechnic Shenzhen China

The paper presents a machine learning approach to detect laminate gaps and to classify them as open or closed. Compared with the traditional detection methods, which suffer from low precision of point cloud segmentation and poor effect of gap extraction in traditional gap detection, this paper proposes a gap detection algorithm based on 3D Vision. First, an improved undirected graph point cloud segmentation algorithm is used to overcome the under-segmentation of the target region. Second, an adaptive vector for angle discriminant model is proposed to solve the problem of poor extraction effect of the gap edge points. Finally, the B-spline curve-fitting model is used to describe the 3D points on the lamination edges. The proposed algorithm has been evaluated in a visual quality detection platform for carbon fiber composite laminates. The results show that the proposed approach is able to accurately detect and classify laminate gaps in carbon fiber composite structures, providing a reliable tool for quality control in industrial manufacturing processes.

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Advanced Biotechnology for Cell Cryopreservation

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Transactions of Tianjin University 2020年第6期26卷 409-423页

作者： Jing Yang Lei Gao Min Liu Xiaojie Sui Yingnan Zhu Chiyu Wen Lei Zhang Department of Biochemical Engineering School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(MOE) School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China Qingdao Institute for Marine Technology of Tianjin University Qingdao 266235China

Cell cryopreservation has evolved as an important technology required for supporting various cell-based applications,such as stem cell therapy,tissue engineering,and assisted *** times have witnessed an increase in the clinical demand of these applications,requiring urgent improvements in cell ***,cryopreservation technology suff ers from the issues of low cryopreservation effi ciency and cryoprotectant(CPA)*** of advanced biotechnology tools can signifi cantly improve post-thaw cell survival and reduce or even eliminate the use of organic solvent CPAs,thus promoting the development of ***,based on the diff erent cryopreservation mechanisms available,we provide an overview of the applications and achievements of various biotechnology tools used in cell cryopreservation,including trehalose delivery,hydrogel-based cell encapsulation technique,droplet-based cell printing,and nanowarming,and also discuss the associated challenges and perspectives for future development.

关键词： Cell cryopreservation Biotechnology Trehalose delivery Hydrogel-based cell encapsulation Droplet-based cell printing Nanowarming

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Investigating Optimal Tracking Intervals for Solar Tracking systems to Enhance Efficiency and Performance

Investigating Optimal Tracking Intervals for Solar Tracking ...

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Artificial Intelligence & Green Energy (ICAIGE), IEEE International Conference on

作者： Khadidja Dahli Adrian Ilinca Abdellah Benallal Nawel Cheggaga Electrical and Remote Control Systems Laboratory LabSET Faculty of Technology University of Blida 1 Blida Algeria Department of Mechanical Engineering Ecole de Technologie Superieure Montreal Quebec Canada Wind Energy Laboratory University of Quebec at Rimouski Rimouski QC Canada

ISBN: (数字)9798350389838

ISBN: (纸本)9798350389845

Conventional solar trackers continuously adjust solar panels to optimize energy production, a process that can consume significant energy, potentially surpassing the energy gained. This research examines the most effective tracking interval for solar tracking systems to mitigate this issue. Through testing with intervals ranging from 5 minutes to 5 hours, it was determined that setting tracking intervals no shorter than 1 hour and no longer than 2 hours and 30 minutes is recommended to achieve a balance between energy efficiency and production. Additionally, this study suggests that elevation and azimuth angles should not be tracked using the same time periods; instead, a 2-hour interval for elevation tracking and a 3-hour interval for azimuth angle tracking are advised for optimal performance. The proposed discrete tracking method consumes less than 0.15% of the energy produced, thereby enhancing energy efficiency, reducing unnecessary energy consumption, and improving the overall reliability and lifespan of solar tracking systems. This approach has the potential to significantly impact the future of solar power by enhancing the efficiency and reliability of solar tracking systems, thereby increasing the viability and appeal of solar energy as a primary renewable resource.

关键词： Energy consumption Accuracy Azimuth Production Solar energy Energy efficiency Real-time systems Robustness Solar panels Testing

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Charge process management of lithium-ion batteries based on digital twins: A new way to extend life

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Journal of Process control 2025年 152卷

作者： Chunhui Ji Guang Jin Ran Zhang The Department of Control Science and Engineering School of systems Engineering National University of Defense Technology Changsha 410003 China The Department of Management Science and Engineering School of systems Engineering National University of Defense Technology Changsha 410003 China

Effective management of the charging process is not only crucial for reducing costs and improving the efficiency of electric vehicles and renewable energy systems but also essential for enhancing the stability and safety of energy systems. Consequently, it has become a key focus in battery management system research. However, there is a contradiction between improving battery charging efficiency and extending service life, and the diversified battery use needs make this contradiction more prominent. This paper proposes a lithium-ion battery charging process management framework based on digital twin technology and Bayesian principle. A hybrid model is used to establish the digital twin of the lithium-ion battery charging state and health state. At the same time, the model evaluation reward and maturity evaluation reward are comprehensively considered in the decision-making process to improve the effectiveness of decision-making. Furthermore, the charging strategy is optimized according to the distinct characteristics of different battery life stages. The case analysis demonstrates that, compared to existing charging strategies, the proposed method effectively extends battery lifespan while meeting various battery performance requirements.

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Pyrolysis and steam gasification properties of mangroves

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Chemosphere 2023年 345卷 140388页

作者： Sakurai, Yuya Kobayashi, Jun Sakai, Yuji Naruse, Ichiro Department of Mechanical Engineering Kogakuin University 2665-1 Nakano-machi Hachioji-shi Tokyo192-0015 Japan Department of Environmental Chemistry and Chemical Engineering Kogakuin University 2665-1 Nakano-machi Hachioji-shi Tokyo192-0015 Japan Institute of Materials and Systems for Sustainability Nagoya University Furo-cho Chikusa-ku Nagoya464-8601 Japan

The rising atmospheric CO2 emissions from the burning of fossil fuels remains a global concern. Mangrove forests, which are important for global biodiversity, are known for their high carbon fixation capacity. However, the characteristics of the pyrolysis and gasification of mangroves remain unclear. Thus, this study focused on mangroves' basic pyrolysis and steam gasification properties for use as a gasification fuel. Three mangrove species: Rhizophora mucronata, Bruguiera cylindrica, and Avicennia marina, were used as experimental samples. In addition, three species of land wood were used for comparison: Eucalyptus, Japanese cedar, and Japanese cypress. In addition to the raw sample, a demineralized sample was used for each sample to account for the influence of the alkali and alkaline earth metals (AAEMs) on pyrolysis and steam gasification. Thermogravimetric analysis was performed to obtain thermogravimetric curves of mangroves and land wood. A laboratory-scale instrument for pyrolysis and gasification using a batch-type horizontal electric furnace was also used at 800 °C in an inert and steam atmosphere. The char yield of raw mangroves was high and independent of the Klason lignin content, suggesting that AAEMs influence char formation during the initial pyrolysis of the mangroves. The results of pyrolysis and gasification under steam atmosphere showed that the H2 production ratio (Steam/Inert) from mangroves was 2.52–5.33, compared to 1.76–2.35 for land woods, the addition of steam significantly enhanced the steam gasification of mangroves. Mangroves contain relatively large amounts of AAEMs, which indicates their potential as a gasification feedstock. © 2023 Elsevier Ltd

关键词： Thermogravimetric analysis

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Excellent Defluorination Performance in Nico-Layered Metal Oxide Based Asymmetric Flow Capacitive Deionization System

SSRN

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SSRN 2025年

作者： Hu, Dongyang Liu, Yongqi Dai, Zhongde Sabale, Sandip Kim, Deok-Kee Li, Yiming Xiong, Jian Zheng, Yu Li, Yuping Zhou, Qiongzhi Shen, Jian College of Environment and Resources Xiangtan University Xiangtan411105 China Hunan Brunp Recycling Technology Co. Ltd. Changsha410604 China School of Carbon Neutrality Future Technology Sichuan University Chengdu610065 China Department of Semiconductor Systems Engineering Sejong University Seoul05006 Korea Republic of School of Ecology and Environment Tibet University Lhasa850000 China Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and Engineering Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China

The high concentration of fluoride (F-) ions in contaminated water has become an urgent challenge for public health and environmental safety. In this contribution, we adopted asymmetric flow electrode capacitive deionization (FCDI) technique to remove F- ions, selecting NiCo layered metal oxide/carbon black (NiCo-LMO/CB) and Prussian blue analogs (cobalt hexacyanocobaltate, CoHCC) as the flow anode and cathode materials, respectively. As expected, the NiCo-LMO/CB flow electrode demonstrated excellent performance in terms of F- removal efficiency (68.54%), F- adsorption capacity (13.78 mg/g), and energy consumption (5.39 J/mg) when treating 1000 mg/L NaF solution under 1.2 V cell voltage. Combining electrochemical characterizations with structural analysis, such excellent defluorination performance of NiCo-LMO/CB can be ascribed to both electrostatic attraction and flexible ions intercalation. Hopefully, this work provides new ideas for defluorination of high concentration fluoridated wastewater via adopting asymmetric FCDI. © 2025, The Authors. All rights reserved.

关键词： Deionized water

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