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Theoretical study of CO2 hydrogenation to methanol on isolated small Pdx clusters

Journal of Energy Chemistry 2019年第8期28卷 79-87,I0004页

作者： adhitya g.saputro Refaldi I.D.Putra Arifin L.Maulana Muhammad U.Karami Mochamad R.Pradana Mohammad K.Agusta Hermawan K.Dipojono Hideaki Kasai Engineering Physics Research group Institut Teknologi BandungBandung 40132 Indonesia Research Center for Nanosciences and Nanotechnology Institut Teknologi BandungBandung 40132 Indonesia Akashi College National Institute of TechnologyHyogo 674-8501 Japan graduate School of Engineering Osaka UniversityOsaka 565-0871 Japan Department of Applied Physics Osaka UniversityOsaka 565-0871 Japan

CO2 hydrogenation to methanol on small size Pdxclusters(x = 7, 9 and 13) has been studied using density functional theory calculations. It has been found that in contrast to metallic Pd system, these small Pdxclusters can interact well with CO2 molecule. CO2 molecule can be adsorbed with a bidendate configuration on the Pdxclusters. The formation of CO2 bidendate adsorption configuration facilitates the first step of CO2 hydrogenation reaction on the clusters. The energy profiles for formate pathway and reverse water gas shift + CO hydrogenation pathways on Pdxclusters are quite similar with Cu(111) surface, except for the first and last hydrogenation steps where the Pdxclusters have lower activation energies. This improvement causing the Pdxclusters to have a tolerable turn over frequencies values. In general, the usage of Pd in the form of small size cluster can improve the catalytic performance of metallic Pd for the CO2 hydrogenation to methanol because small size Pd cluster can act not only as an H2 dissociation center but also as a CO2 hydrogenation center.

关键词： Pdx clusters CO2 Adsorption Hydrogenation Methanol Density functional theory

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Selectivity of CO_(2)reduction reaction to CO on the graphitic edge active sites of Fe-single-atom and dual-atom catalysts:A combined DFT and microkinetic modeling

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Carbon Resources Conversion 2024年第1期7卷 21-31页

作者： Ahmad Nuruddin adhitya gandaryus saputro Arifin Luthfi Maulana Febdian Rusydi Fiki Taufik Akbar Hadi Teguh Yudistira Hermawan Kresno Dipojono Advanced Functional Materials Research group Faculty of Industrial TechnologyInstitut Teknologi BandungJl.Ganesha No.10Bandung 40132Indonesia Research Center for Nanosciences and Nanotechnology Institut Teknologi BandungJl.Ganesha No.10Bandung 40132Indonesia Research Center for Quantum Engineering Design Department of PhysicsFaculty of Science and TechnologyUniversitas AirlanggaSurabaya 60115Indonesia Theoretical High Energy Physics Research Division Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha No.10Bandung 40132Indonesia Mechanical Engineering Study Program Institut Teknologi Sumatera(ITERA)South LampungLampungIndonesia Department of Materials Science and Engineering University of CaliforniaBerkeleyBerkeleyCA 94720United States

We study the carbon dioxide reduction reaction(CO_(2)RR)activity and selectivity of Fe single-atom catalyst(Fe-SAC)and Fe dual-atom catalyst(Fe-DAC)active sites at the interior of graphene and the edges of graphitic nanopore by using a combination of DFT calculations and microkinetic *** trend of limiting potentials for CO_(2)RR to produce CO can be described by using either the adsorption energy of COOH,CO,or their ***_(2)RR process with reasonable reaction rates can be achieved only on the active site configurations with weak tendencies toward CO *** efficiency of CO_(2)RR on a catalyst depends on its ability to suppress the parasitic hydrogen evolution reaction(HER),which is directly related to the behavior of H adsorption on the catalyst’s active *** find that the edges of the graphitic nanopore can act as potential adsorption sites for an H atom,and in some cases,the edge site can bind the H atom much stronger than the main Fe *** linear scaling between CO and H adsorptions is broken if this condition is *** condition also allows some edge active site configurations to have their CO_(2)RR limiting potential lower than the HER process favoring CO production over H2 production.

关键词： CO_(2)RR FexNy active site Fe-SAC Fe-DAC graphitic edges DFT Microkinetic

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Apex Frame Spotting Using Attention Networks for Micro-Expression Recognition System

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Computers, Materials & Continua 2022年第12期73卷 5331-5348页

作者： Ng Lai Yee Mohd Asyraf Zulkifley Adhi Harmoko saputro Siti Raihanah Abdani Department of Electrical Electronic and Systems EngineeringUniversiti Kebangsaan MalaysiaBangi43600Malaysia Faculty of Mathematics and Natural Science Universitas IndonesiaDepok16424Indonesia Faculty of Humanities Management and ScienceUniversiti Putra Malaysia Bintulu CampusBintulu97008Malaysia

Micro-expression is manifested through subtle and brief facial movements that relay the genuine person’s hidden *** a sequence of videos,there is a frame that captures the maximum facial differences,which is called the apex ***,apex frame spotting is a crucial sub-module in a micro-expression recognition ***,this spotting task is very challenging due to the characteristics of micro-expression that occurs in a short duration with low-intensity muscle ***,most of the existing automated works face difficulties in differentiating micro-expressions from other facial ***,this paper presents a deep learning model with an attention mechanism to spot the micro-expression apex frame from optical flow *** attention mechanism is embedded into the model so that more weights can be allocated to the regions that manifest the facial movements with higher *** method proposed in this paper has been tested and verified on two spontaneous micro-expression databases,namely Spontaneous Micro-facial Movement(SAMM)and Chinese Academy of Sciences Micro-expression(CASME)II *** proposed system performance is evaluated by using the Mean Absolute Error(MAE)metric that measures the distance between the predicted apex frame and the ground truth *** best MAE of 14.90 was obtained when a combination of five convolutional layers,local response normalization,and attention mechanism is used to model the apex frame *** with limited datasets,the results have proven that the attention mechanism has better emphasized the regions where the facial movements likely to occur and hence,improves the spotting performance.

关键词： Deep learning convolutional neural networks emotion recognition

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助力发展:中国进出口银行在印度尼西亚可持续发展中的作用与贡献

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海外投资与出口信贷 2024年第3期 12-14,28页

作者：里兹基·苏马蒂奥·萨普特罗印度尼西亚财政部

本文重点聚焦中国进出口银行在促进印度尼西亚基础设施建设及经济发展中所发挥的关键作用,追溯了两国从建交伊始到建立全面战略伙伴关系的发展历程,强调了中国进出口银行融资对印度尼西亚发展格局的重大影响,并通过回顾中国进出口银行... 详细信息

本文重点聚焦中国进出口银行在促进印度尼西亚基础设施建设及经济发展中所发挥的关键作用,追溯了两国从建交伊始到建立全面战略伙伴关系的发展历程,强调了中国进出口银行融资对印度尼西亚发展格局的重大影响,并通过回顾中国进出口银行支持的电站、收费公路、水坝等项目,阐述中国官方发展援助给印度尼西亚基础设施领域带来的切实利益。文章还指出了双方未来合作面临的挑战与前景,包括借贷成本攀升、与其他发展机构合作的重要性以及可持续发展倡议的必要性。

关键词：印尼—中国关系中国进出口银行基础设施发展可持续发展融资 “一带一路”倡议

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