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Engineering

Raquel Portela, Susana Perez-Ferreras, Ana Serrano-Lotina, Miguel A. Bañares

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 509-536 doi: 10.1007/s11705-018-1740-9

Abstract:

The term operando was coined at the beginning of this century to gather the growing efforts devoted to establish structure-activity relationships by simultaneously characterizing a catalyst performance and the relevant surface chemistry during genuine catalytic operation. This approach is now widespread and consolidated; it has become an increasingly complex but efficient junction where spectroscopy, materials science, catalysis and engineering meet. While for some characterization techniques kinetically relevant reactor cells with good resolution are recently developing, the knowledge gained with magnetic resonance and X-ray and vibrational spectroscopy studies is already huge and the scope of operando methodology with these techniques is recently expanding from studies with small amounts of powdered solids to more industrially relevant catalytic systems. Engineering catalysis implies larger physical domains, and thus all sort of gradients. Space- and time- resolved multi-technique characterization of both the solid and fluid phases involved in heterogeneous catalytic reactions (including temperature data) is key to map processes from different perspectives, which allows taking into account existing heterogeneities at different scales and facing up- and down-scaling for applications ranging from microstructured reactors to industrial-like macroreactors (operating with shaped catalytic bodies and/or in integral regime). This work reviews how operando methodology is evolving toward engineered reaction systems.

Keywords： operando     structured catalysts     space-resolved     time-resolved     spectroscopy    

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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: Structured sparse learning encodes the structural information of the variables and has been quite successfulWith various types of structures discovered, sorts of structured regularizations have been proposed.In this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structuredIn experiments, we present applications in unsupervised learning, for structured signal recovery and

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3

Abstract:

● Hybrid deep-learning model is proposed for water quality prediction.

Keywords： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

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Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1033-1049 doi: 10.1007/s11705-020-2002-1

Abstract: proposed performance, ingredients, structure, and manufacturing process framework for the design of structured

Keywords： product design     performance     ingredients     structure     manufacturing process framework     structured chemical    

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Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 5,   Pages 897-904 doi: 10.1007/s11783-015-0782-1

Abstract: Electrochemical reduction is a promising method and Cu-based catalysts have been found to be an efficientIn this work, Cu catalysts with different morphologies were fabricated on Ti plate using a facile electrodepositonThe dendritic nano-structured Cu catalysts obtained at high applied voltages exhibited an excellent efficiencyThe fabricated nano-structured Cu catalysts also exhibited good stability.This work provides a facile way to prepare highly efficient, cost-effective, and stable nano-structured

Keywords： nitrobenzene     nano-structured Cu     electro-reduction     voltage-dependent electrodeposition     high selectivity    

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Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1711-3

Abstract:

● Properties and performance relationship of CSBT photocatalyst were investigated.

Keywords： Black TiO2     Core-shell structure     Property-performance relationship     Agro-industrial effluent     Environmental remediation    

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Erratum to: Efficient keyword search over graph-structured data based on minimal covered Erratum

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.18e0133

Abstract: Unfortunately the second author’s name has been misspelt. It should be read: Abbas NIKNAFS.
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Electrochemical CO reduction to C products over CuZn intermetallic catalysts synthesized by electrodeposition

Frontiers in Energy doi: 10.1007/s11708-023-0898-0

Abstract: was used to introduce Zn, a metal with weak *CO binding energy, into Cu to form Cu/Zn intermetallic catalysts

Keywords： carbon dioxide electroreduction     electrochemistry     co-electrodeposition     intermetallic catalysts     value-added    

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Oxygen reduction electrocatalysis: From conventional to single-atomic platinum-based catalysts for proton

Frontiers in Energy doi: 10.1007/s11708-023-0907-3

Abstract: Platinum (Pt)-based materials are still the most efficient and practical catalysts to drive the sluggish/nanostructuring Pt particles and modifying/innovating supports in developing conventional Pt-based catalysts, Pt single-atom catalysts (Pt SACs) as the recently burgeoning hot materials with a potential to achievesingle-atoms with carbon/non-carbon supports are emphasized in terms of the ORR activity and stability of the catalysts

Keywords： oxygen reduction electrocatalysis     Pt single-atom catalysts     conventional Pt-based catalysts     design    

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Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 137-142 doi: 10.1007/s11708-018-0532-8

Abstract: cross-plane thermal conductivity reduction in the Si/Ge superlattices is studied by designing cone-structuredCompared with the even interface, the cone-structured interface contributes remarkable resistance toreduction of the average thermal conductivity to the other Si/Ge superlattices with even, convergent cone-structuredThe design of divergent cone-structured interface sheds promising light on enhancing the thermoelectric

Keywords： thermoelectric material     thermal transport     Si/Gesuperlattics     molecular dynamics (MD)    

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Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 75-82 doi: 10.1007/s11708-010-0014-0

Abstract: Experiments were conducted to study the effects of enhanced surfaces on heat transfer performance during water spray cooling in non-boiling regime. The surface enhancement is straight fin. The structures were machined on the top surface of heated copper blocks with a cross-sectional area of 10 mm×10 mm. The spray was performed using Unijet full cone nozzles with a volumetric flux of 0.044–0.053 m /(m ·s) and a nozzle height of 17 mm. It is found that the heat transfer is obviously enhanced for straight fin surfaces relative to the flat surface. However, the increment decreases as the fin height increases. For flat surface and enhanced surfaces with a fin height of 0.1 mm and 0.2 mm, as the coolant flux increases, the heat flux increases as well. However, for finned surface with a height of 0.4 mm, the heat flux is not sensitive to the coolant volumetric flux. Changed film thickness and the form of water/surface interaction due to an enhanced surface structure (different fin height) are the main reasons for changing of the local heat transfer coefficient.

Keywords： spray cooling     finned surface     heat transfer    

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Promising approach for preparing metallic single-atom catalysts: electrochemical deposition

Frontiers in Energy 2022, Volume 16, Issue 4,   Pages 537-541 doi: 10.1007/s11708-022-0837-5

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deep

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Current challenge and perspective of PGM-free cathode catalysts for PEM fuel cells

Gang WU

Frontiers in Energy 2017, Volume 11, Issue 3,   Pages 286-298 doi: 10.1007/s11708-017-0477-3

Abstract: significantly reduce the cost of proton exchange membrane fuel cells, platinum-group metal (PGM)-free cathode catalystsCurrent M-N-C (M: Fe, Co or Mn) catalysts are considered the most promising due to their encouragingThe current Edisonian approach (i.e., trial and error) to developing PGM-free catalysts has been ineffectiveand chemical controlled precursors such as metal-organic frameworks are highly desirable for making catalysts

Keywords： oxygen reduction     fuel cells     cathode     nonprecious metal catalysts     carbon nanocomposites    

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Selective preparation for biofuels and high value chemicals based on biochar catalysts

Frontiers in Energy 2023, Volume 17, Issue 5,   Pages 635-653 doi: 10.1007/s11708-023-0878-4

Abstract: wastes is crucial toward today’s energy and environmental crisis, among which, biomass-based biochar as catalystspaper, the recent advances in biofuels and high chemicals for selective production based on biochar catalystsThe topics mainly include the modification of biochar catalysts, the preparation of energy products,Suitable biochar catalysts can enhance the yield of biofuels and higher-value chemicals.Mechanism studies based on biochar catalysts will be helpful to the controlled products.

Keywords： biomass     biochar catalysts     biofuels     high chemicals    

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Title Author Date Type Operation

Engineering

Raquel Portela, Susana Perez-Ferreras, Ana Serrano-Lotina, Miguel A. Bañares

Journal Article

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Journal Article

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Journal Article

Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

Journal Article

Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

Journal Article

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Journal Article

Electrochemical CO reduction to C products over CuZn intermetallic catalysts synthesized by electrodeposition

Journal Article

Oxygen reduction electrocatalysis: From conventional to single-atomic platinum-based catalysts for proton

Journal Article

Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

Journal Article

Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

Journal Article

Promising approach for preparing metallic single-atom catalysts: electrochemical deposition

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Current challenge and perspective of PGM-free cathode catalysts for PEM fuel cells

Gang WU

Journal Article

Selective preparation for biofuels and high value chemicals based on biochar catalysts

Journal Article