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Superior triethylamine-sensing properties based on SnO2 hollow nanospheres synthesized via one-step process

Progress in Natural Science:Materials International 2024年第4期34卷 682-689页

作者： Mingyue Xu Shu Yan Zia Ur Rehman Jianhua Hou Liangyun Zhai Shengjie Zhu Chuanbao Cao Wanfeng Xie Junyu Zhong Jun Yang State Key Laboratory of Bio-fibers and Eco-textiles School of Electronics and Information College of Materials Science and Engineering College of Chemistry and Chemical Engineering Qingdao University College of Environmental Science and Engineering Yangzhou University State Key Laboratory of Chemical Safety SINOPEC Research Institute of Safety Engineering Co. Ltd. National Registration Center for Chemicals Ministry of Emergency Management Research Center of Materials Science Beijing Institute of Technology State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences

Due to serious harm of triethylamine（TEA） to environmental safety and human health, it is significant to synthesize gas-sensitive materials with high performance for TEA detection. However, it is still a challenge to achieve high-sensitivity detection of TEA at low temperature for a sensor synthesized through an economical and efficient method. In this work, hollow-structured SnO2（HS-SnO2） nanospheres have been fabricated by a facile, low-cost hydrothermal method in one step, which exhibit superior TEA-sensing properties, including not only ultrahigh response（127.75） for 100 ppm TEA, good selectivity, but also fast response and recovery time（17/28 s）, low detection threshold（1 ppm） and robust stability at a relatively low optimum operational temperature of 225°*** excellent gas-sensitizing performances are ascribed to porous hollow structures with rich oxygen vacancies that provide abundant active sites for raising O2adsorption and reaction of TEA and oxygen species. This work offers an effective and economical strategy for fabricating high-performance TEA sensors for industrial applications.

关键词： Hollow-structured SnO2 nanospheres TEA High response Gas sensors

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engineering of Fe d-band center in Fe_(3)O_(4)/CeO_(2)hetero-nanoparticles via orbital coupling for high-efficiency oxygen reduction electrocatalysis

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Nano Research 2025年第1期18卷 129-139页

作者： Jiayi Liu Jingwen Yin Yingzi Lin Mingxin Pang Huan Pang Songtao Zhang Lin Xu Jun Yang Yawen Tang Jiangsu Key Laboratory of New Power Batteries Jiangsu Collaborative Innovation Center of Biomedical Functional MaterialsSchool of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023Chin a 2 State Key Laboratory of Multiphase Complex Systems Center of MesoscienceInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225009China Testing Center Yangzhou UniversityYangzhou 225009China

The deliberate engineering of the d-band center of metal site represents an effective strategy to boost the intrinsic electrocatalytic performance toward the oxygen reduction reaction(ORR).Herein,following a heterointerfaceinduced orbital coupling rationale,we report a judicious design of an efficient ORR electrocatalyst consisting of Fe_(3)O_(4)/CeO_(2)hetero-nanoparticles in-situ encased into N-doped carbon nanofibers(abbreviated as Fe_(3)O_(4)/CeO_(2)@N-CNFs hereafter).The theoretic calculations uncover that the Fe_(3)O_(4)/CeO_(2)heterointerface-triggered orbital coupling can cause the down shift of the d-band center positions of Fe sites,which leads to the weakened chemisorption of oxygenated groups and lowered energy barrier for the potential-determining step,ultimately dramatically boosting the ORR intrinsic *** a consequence,the well-designed Fe_(3)O_(4)/CeO_(2)@N-CNFs display admirable ORR activity with a half-wave potential of 0.84 V and outstanding structural/electrochemical stability in an alkaline electrolyte,surpassing the commercial Pt/C benchmark and a majority of recently reported Fe_(3)O_(4)-based *** encouragingly,the Fe_(3)O_(4)/CeO_(2)@N-CNFsincorporated Zn-air battery outperforms the Pt/C-assembled counterpart with higher power density,larger energy density,and excellent cycling stability,serving as a competent candidate for ORR-involved renewable energy *** study offers an innovative approach for the rational manipulation of the d-band center and interfacial electron behavior of active sites toward the optimization of electrocatalytic performance.

关键词： hetero-nanoparticles electrospinning interfacial engineering orbital coupling oxygen reduction reaction

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Mechanical, physical and thermal properties of composite materials produced with the basidiomycete Fomes fomentarius

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Fungal Biology and Biotechnology 2023年第1期10卷 22页

作者： Schmidt, Bertram Freidank-Pohl, Carsten Zillessen, Justus Stelzer, Lisa Guitar, Tamara Núñez Lühr, Carsten Müller, Henri Zhang, Fangxing Hammel, Jörg U. Briesen, Heiko Jung, Sascha Gusovius, Hans-Jörg Meyer, Vera Chair of Applied and Molecular Microbiology Technische Universität Berlin Str. des 17. Juni 135 Berlin 10623 Germany Department Systems Process Engineering Leibniz-Institute for Agricultural Engineering and Bioeconomy (ATB) Max-Eyth-Allee 100 Potsdam 14469 Germany School of Life Sciences Weihenstephan Chair of Process Systems Engineering Technical University of Munich Freising 85354 Germany Institute of Materials Physics Helmholtz-Zentrum Hereon Max-Planck-Str 1 Geesthacht 21502 Germany

Background: To achieve climate neutrality, fundamentally new concepts of circularity need to be implemented by the building sector as it contributes to 40% of anthropogenic CO₂ emission. Fungal biotechnology can make a significant contribution here and help eliminate fossil dependency for building material production. Recently, we have shown that the medicinal polypore Fomes fomentarius feeds well on renewable lignocellulosic biomass and produces composite materials that could potentially replace fossil fuel-based expanded polystyrene as insulation material. Results: In this study, we explored the mechanical, physical, and thermal properties of F. fomentarius-based composite materials in more detail and determined key performance parameters that are important to evaluate the usability of F. fomentarius-based composite materials in the construction sector. These parameters were determined according to European standards and included compressive strength, modulus of elasticity, thermal conductivity, water vapour permeability, and flammability of uncompressed composites as well as flexural strength, transverse tensile strength, and water absorption capacity of heat-pressed composites, among others. We could show that uncompressed composites obtained from F. fomentarius and hemp shives display a thermal conductivity of 0.044 W (m K)⁻¹ which is in the range of natural organic fibres. A water vapour permeability of 1.72 and classification into flammability class B1 clearly surpasses fossil-based insulation materials including expanded polystyrene and polyurethane. We could furthermore show that heat-pressing can be used to reliably generate stiff and firm particleboards that have the potential to replace current wood-based particleboards that contain synthetic additives. X-ray microcomputed tomography finally visualized for the first time the growth of hyphae of F. fomentarius on and into the hemp shive substrates and generated high-resolution images

关键词： Bioeconomy Circular economy Composite material Compressive strength Flammability Flexural strength Fomes fomentarius Fungal-based composite material Hemp Insulation Mycelium-based material Tensile strength

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Reinforced Model Predictive control via Trust-Region Quasi-Newton Policy Optimization

Reinforced Model Predictive Control via Trust-Region Quasi-N...

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European control Conference (ECC)

作者： Dean Brandner Sergio Lucia Process Automation Systems at the department of Biochemical and Chemical Engineering TU Dortmund University Dortmund Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

Model predictive control can optimally deal with nonlinear systems under consideration of constraints. The control performance depends on the model accuracy and the prediction horizon. Recent advances propose to use reinforcement learning applied to a parameterized model predictive controller to recover the optimal control performance even if an imperfect model or short prediction horizons are used. However, common reinforcement learning algorithms rely on first order updates, which only have a linear convergence rate and hence need an excessive amount of dynamic data. Higher order updates are typically intractable if the policy is approximated with neural networks due to the large number of parameters. In this work, we use a parameterized model predictive controller as policy, and leverage the small amount of necessary parameters to propose a trust-region constrained Quasi-Newton training algorithm for policy optimization with a superlinear convergence rate. We show that the required second order derivative information can be calculated by the solution of a linear system of equations. A simulation study illustrates that the proposed training algorithm outperforms other algorithms in terms of data efficiency and accuracy.

关键词： Training Heuristic algorithms Reinforcement learning Predictive models Approximation algorithms Prediction algorithms Mathematical models

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Ion conduction path in composite solid electrolytes for lithium metal batteries: from polymer rich to ceramic rich

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Frontiers in Energy 2022年第5期16卷 706-733页

作者： Zhouyu ZHANG Hao CHEN Zhenglin HU Shoubin ZHOU Lan ZHANG Jiayan LUO Key Laboratory for Green Chemical Technology of the Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Shanghai Key Laboratory of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China Huafu High Technology Energy Storage Co. Ltd.Yangzhou 225600China CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean ProcessState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Solid-state electrolytes(SSEs)can address the safety issue of organic electrolyte in rechargeable lithium ***,neither polymer nor ceramic SSEs used alone can meet the demand although great progress has been made in the past few *** solid electrolytes(CSEs)composed of flexible polymers and brittle but more conducting ceramics can take advantage of the individual system for solid-state lithium metal batteries(SSLMBs).CSEs can be largely divided into two categories by the mass fraction of the components:“polymer rich”(PR)and“ceramic rich”(CR)systems with different internal structures and electrochemical *** review provides a comprehensive and in-depth understanding of recent advances and limitations of both PR and CR electrolytes,with a special focus on the ion conduction path based on polymer-ceramic interaction mechanisms and structural designs of ceramic fillers/*** addition,it highlights the PR and CR which bring the leverage between the electrochemical property and the mechanical ***,it further prospects the possible route for future development of CSEs according to their rational design,which is expected to accelerate the practical application of SSLMBs.

关键词： composite solid electrolytes active filler/framework ion conduction path interphase compatibility multilayer design

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Minimizing risk in the scheduling of crudes in an oil refinery

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IFAC-PapersOnLine 2022年第7期55卷 809-814页

作者： Tomás García García-Verdier Gloria Gutiérrez Carlos Méndez Carlos G. Palacín César de Prada Systems Engineering and Automatic Control Department University of Valladolid Spain Center for Advanced Process Systems Engineering (CAPSE) INTEC (UNL - CONICET) Argentina

This paper focuses on formulating and solving the optimization of crude oil operations scheduling carried out in a system composed of a refinery and a marine terminal. The main challenge lies in coordinating the decisions made at both facilities and, at the same time, dealing with the uncertainties inherent in this activity. To tackle this problem, we present a continuous-time mixed-integer non-linear programming (MINLP) formulation. Furthermore, uncertainty in the ship arrival times is considered through a two-stage stochastic programming approach. Finally, the Conditional Value-at-Risk (CVaR) risk measure is employed to weigh the risk of having high costs relative to the worst scenarios. In this way, the proposed model is capable of supporting the decision-making process under uncertainty in an integral way.

关键词： Stochastic optimization Continuous-time representation Crude oil scheduling Uncertain oil supply Conditional Value-at-Risk

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Design and Implementation of an Automated pH control System for Bioreactor with Integrated Water Management

Design and Implementation of an Automated pH Control System ...

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Mechatronic systems Supervision (IW_MSS), IEEE International Workshop on

作者： Marwa Othmen Aicha Gasmi Soumaya Ibrahimi Ahmed Hannachi Research Laboratory of Process Engineering and Industrial Systems National School of Engineers of Gabes Gabes Tunisia

ISBN: (数字)9798350378382

ISBN: (纸本)9798350378399

The maintenance of optimal pH levels is critical for the efficient operation of bioreactors, particularly in processes involving microbial activity, such as wastewater treatment, with applications extending to pharmaceuticals, biotechnology, and bioenergy production. This paper presents the design and implementation of a low-cost, high-precision bioreactor system capable of real-time pH regulation and automated wastewater management. The bioreactor is equipped with integrated pH sensors and a microcontroller to continuously monitor and adjust pH levels through the precise addition of acidic or basic solutions. Additionally, the system includes an immersed temperature sensor for real-time temperature monitoring, ensuring stable operating conditions. In addition to that, the bioreactor is occupied with a solenoid valve-based wastewater management system, which regulates the inflow and outflow of liquids based on a pre-set schedule. Experimental results demonstrate that the bioreactor provides reliable pH stabilization with minimal fluctuations and efficiently manages wastewater, ensuring a stable operating condition of bioreactor. Automatic control of bioprocess leads to minimize human intervention and therefore reduce the operational cost and human error. This work highlights the feasibility of integrating precision and automation into bioprocess technologies, paving the way for more accessible and efficient bioreactor systems for a large scale applications.

关键词： Temperature sensors Temperature measurement Biotechnology Bioreactors Real-time systems Temperature control Wastewater Wastewater treatment Monitoring Thermal stability

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Optimizing the monthly scheduling of crudes in a terminal-refinery system

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IFAC-PapersOnLine 2023年第2期56卷 7414-7419页

作者： Tomas Garcia Garcia-Verdier Gloria Gutierrez Carlos Mendez Cesar de Prada Dpt. of Systems Engineering and Automatic Control University of Valladolid Valladolid Spain Institute of Sustainable Processes University of Valladolid Valladolid Spain Center for Advanced Process Systems Engineering (CAPSE) INTEC (UNL - CONICET) Argentina

This paper focuses on solving the optimization of crude oil operations scheduling carried out in a real system composed of a refinery and a marine terminal, over a monthly horizon. In the present article, we introduce a large-scale mixed-integer non-linear programming (MINLP) model that faithfully represents the operation and characteristics of the system. Considering the model's complexity and its non-linear and non-convex nature, the challenge lies in solving the model in a time frame that meets the user's needs. To tackle this problem, we develop a temporal decomposition method in conjunction with a linear approximation.

关键词： Modelling and decision making in complex systems Production planning and control Continuous-time representation Optimization and control of large-scale network systems Temporal decomposition method

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Leveraging reinforcement learning and evolutionary strategies for dynamic multi objective decision making in supply chain management

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IFAC-PapersOnLine 2024年第14期58卷 598-603页

作者： Yue Qiu Niki Kotecha Antonio del Rio Chanona Sargent Centre for Process Systems Engineering Imperial College London London SW7 2AZ United Kingdom

Reinforcement learning (RL) has been widely applied in supply chain management due to its performance in dynamic, uncertain environments. However, most RL studies focus on a single objective, differentiable reward functions, and lack the ability to handle multiple conflicting non-differentiable objectives which is the case in many real-world problems such as in inventory control. The proposed multi-objective algorithm deploys a derivative-free approach to effectively optimize non-differentiable objective functions. The framework leverages the advantages of both reinforcement learning (RL) methods and multi-objective evolutionary algorithms (MOEAs) to obtain a Pareto set of policies. The effectiveness of our method is demonstrated through two case studies, each illustrating the adaptability of the policy of choice in varying scenarios. Our methodology finds a diverse set of policies, which allows decision-makers to better handle and mitigate the consequences of disruptions.

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Pre-reduction of WO_(3)-Co_(3)O_(4)by H_(2)-C_(2)H_4 in a fluidized bed

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Chinese Journal of Chemical engineering 2024年第2期66卷 273-284页

作者： Huijun Shang Hengli Li Weijun Li Feng Pan Zhan Du State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of Sciences(CAS)Beijing 100190China College of Chemical Engineering Nanjing Technology UniversityNanjing 211816China School of Chemistry and Chemical Engineering Shihezi UniversityShihezi 832003China College of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China Chinalco Environmental Protection and Energy Conservation Group Co. Ltd.Xiong’an 071700China

In order to avoid the formation ofηphase(W_(6)Co_(6)C or W_(3)Co_(3)C)that adversely affects the sintering process and its products in the preparation process of ultra-fine WC-Co powder,a technical route of prereduction of WO_(3)-Co_(3)O_(4)to WO_(2)-Co and then deep reduction carbonization to WC-Co powder has been *** study mainly investigates the influence of gas partial pressure on the pre-reduction process of WO_(3)-Co_(3)O_(4)under a mixed atmosphere of H_(2)-C_(2)H_(4)-Ar at 600℃and establishes the kinetic equations of pre-reduction and carbon *** results indicate that increasing the partial pressure of hydrogen is conducive to the rapid and complete conversion of WO_(3) to WO_(2).High carbon content can be generated by the deposition of C_(2)H_(4),and it hinders the diffusion of the reducing gas;WO_(3)still cannot be completely reduced to WO_(2)as the partial pressure of C_(2)H_(4) increases to 60%.For the carbon evolution of C_(2)H_(4),the carbon amount is positively related to the H_(2)partial pressure,but it shows the highest amount and evolution rate when the ethylene partial pressure is 20%.Based on the reduction rate curves of WO_(3) and carbon evolution rate curves of C_(2)H_(4),the rate equations of pre-reduction and carbon evolution of WO_(3)-Co_(3)O_(4)system at 600℃are *** pre-reduction reaction belongs to the first-order reaction,and its equation is expressed as follows:r=-(dw_(WO_(3)))/dt=(9±0.15)×10^(-2)×P_(H_(2))^(0.44)P_(C_(2)H_(4))&(0.57)The carbon deposition rate equation of C_(2)H_(4) can be expressed as follows:r=-(dc_C)/dt=r_f-r_b≌7.35×10^(-2)×P_(C_(2)H_(4))^(0.31)

关键词： Fluidization WO_(3)-Co_(3)O_(4) Reduction Carbon deposition Rate equation

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