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The role of machine learning in carbon neutrality:Catalyst property prediction,design,and synthesis for carbon dioxide reduction

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eScience 2023年第4期3卷 1-11页

作者： Zhuo Wang Zhehao Sun Hang Yin honghe wei Zicong Peng Yoong Xin Pang Guohua Jia Haitao Zhao Cheng Heng Pang Zongyou Yin Department of Chemical and Environmental Engineering The University of Nottingham Ningbo ChinaNingbo315100PR China Research School of Chemistry The Australian National UniversityACT2601Australia Curtin Institute of Functional Molecules and Interfaces School of Molecular and Life SciencesCurtin UniversityPerthWA6845Australia Materials Interfaces Center Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055GuangdongPR China Key Laboratory for Carbonaceous Wastes Processing and Process Intensification Research of Zhejiang Province University of Nottingham Ningbo ChinaNingbo315100PR China Municipal Key Laboratory of Clean Energy Conversion Technologies University of Nottingham Ningbo ChinaNingbo315100PR China New Materials Institute University of Nottingham Ningbo ChinaNingbo315042PR China

Achieving carbon neutrality is an essential part of responding to climate change caused by the deforestation and over-exploitation of natural resources that have accompanied the development of human *** carbon dioxide reduction reaction(CO_(2)RR)is a promising strategy to capture and convert carbon dioxide(CO_(2))into value-added chemical ***,the traditional trial-and-error method makes it expensive and time-consuming to understand the deeper mechanism behind the reaction,discover novel catalysts with superior performance and lower cost,and determine optimal support structures and electrolytes for the CO_(2)*** machine learning(ML)techniques provide an opportunity to integrate material science and artificial intelligence,which would enable chemists to extract the implicit knowledge behind data,be guided by the insights thereby gained,and be freed from performing repetitive *** this perspective article,we focus on recent ad-vancements in ML-participated CO_(2)RR *** a brief introduction to ML techniques and the CO_(2)RR,we first focus on ML-accelerated property prediction for potential CO_(2)RR *** we explore ML-aided prediction of catalytic activity and *** is followed by a discussion about ML-guided catalyst and electrode ***,the potential application of ML-assisted experimental synthesis for the CO_(2)RR is discussed.

关键词： Carbon neutrality Carbon dioxide reduction reaction Machine learning Catalyst Rational design

Research on Inquiry Teaching of R Language Foundation Based on Mobile Learning Platform Under the background of big data

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Research on Inquiry Teaching of R Language Foundation Based ...

作者： Dong Wang honghe wei Yong Ji Zeguo Shao School of Electrical and Information Engineering Shanghai Urban Construction Vocational College Shanghai Research and Development Center ZTE Corporation School of medical devices Shanghai University of Medicine and Health Sciences

With the rise of mobile Internet, the development of big data technology changes with each passing day. R language foundation is an important course for computer application technology, big data technology and application, cloud computing technology and application, and etc. At present, there are some problems in the teaching of "R Language Foundation" course, such as insufficient preview of students before class, lack of active thinking and participation in classroom implementation, and single assessment method. The inquiry teaching of "R Language Foundation" based on mobile learning platform can change the traditional cramming teaching and adopt the student-centered teaching method. The teaching mode can guide students to think in an orderly way, actively participate in learning tasks and activities, give full play to students’ learning autonomy, and the teaching effect is good.

关键词： Mobile Learning Platform R Language Foundation Inquiry Teaching

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5G网络切片技术研究

现代信息科技 2021年第1期5卷 58-61页

作者：魏洪河汪冬中兴通讯股份有限公司上海研发中心上海201203 上海城建职业学院机电工程与信息学院上海201415

随着移动通信技术的飞速发展,5G逐渐渗透到人们的日常生活中。社会数字化程度的加深使各种数据业务应用如雨后春笋般涌现,由此催生了对5G网络切片的强烈需求。文章首先阐述了社会数字化中5G的核心作用、5G的三大应用场景和5G的关键能力... 详细信息

随着移动通信技术的飞速发展,5G逐渐渗透到人们的日常生活中。社会数字化程度的加深使各种数据业务应用如雨后春笋般涌现,由此催生了对5G网络切片的强烈需求。文章首先阐述了社会数字化中5G的核心作用、5G的三大应用场景和5G的关键能力网络切片;然后介绍了5G网络切片的标准组织对切片的定义和要求,以及3GPP发布的R15、R16进展情况和3GPP定义的5G切片表示分类;最后分析了下一代移动网络的5G网络切片架构和具体实例。

关键词：移动通信 5G 数字化网络切片 3GPP

校企合作进行高职课程改革与人才培养的研究与实践

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中国现代教育装备 2019年第1期 92-93,103页

作者：汪冬魏洪河李建华陈姝妙上海城建职业学院机电工程与信息学院上海201415 中兴通讯股份有限公司上海研发中心上海201203 上海健康医学院医疗器械学院上海201318

校企合作进行课程改革是当前职业教育的发展趋势,也是社会发展的必然趋势。因此,探讨了校企合作进行高职课程改革与人才培养的意义和改革方法,针对高职课程教学存在的问题,从课程体系、教材建设、师资队伍、就业实习等多方面进行实践,... 详细信息

校企合作进行课程改革是当前职业教育的发展趋势,也是社会发展的必然趋势。因此,探讨了校企合作进行高职课程改革与人才培养的意义和改革方法,针对高职课程教学存在的问题,从课程体系、教材建设、师资队伍、就业实习等多方面进行实践,培养了学生综合职业能力,取得了较好的成效,为高职课程改革与人才培养提供了参考。

关键词：课程改革职业教育校企合作人才培养

Experimental analysis of matrix moveable oil saturation in tight sandstone reservoirs of the south Ordos Basin,China

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Energy Geoscience 2024年第1期5卷 184-195页

作者： Ting Xu Jun Pu Xuejie Qin Yi wei Science and Technology Development Department Petroleum Exploration&Production Research InstituteSINOPECBeijing100083China Center Research Department of North China Petroleum Exploration&Production Research Institute SINOPECBeijing100083China Oil Field Development Department Petroleum Exploration&Production Research InstituteSINOPECBeijing100083China

Tight oil reservoirs in the south Ordos Basin are characterized by fractured,heterogeneous oil-bearing strata(an oil saturation of less than 55%on average),normal pressure(0.8±)and extra-low permeability(less than 0.3 mD).In the Chang 8 tight sandstone reservoir in honghe oilfield,micro-and nanopores,especially those with a pore-throat radius of less than 1 mm,account for more than 90%.Fluid flow in the matrix is non-linear and crude oil flow rates are very low under normal pressure *** improved understanding of oil mobility in a tight matrix is key to further development of normalpressure tight-oil resources in the continental *** this study,constant-velocity and high-pressure mercury injection experiments were conducted using samples of typical tight sandstone cores obtained from the south of Ordos Basin.A new method for reconstructing the full-scale pore-throat distribution characteristics of tight sandstone reservoirs was established successfully,based on which multistage centrifugal tests,tests of low-pressure differential displacement of oil by water,and nuclear magnetic resonance tests were conducted in order to obtain the distribution characteristics of moveable fluid in different *** moveable oil saturation(MOS)and degree of oil recovery(*** of accumulative oil production to producing geologic reserves)of the core samples under different differential pressures for displacement were *** for the tight oil reservoirs in the south Ordos Basin,the moveable fluids are mainly stored in sub-micron(0.10-0.5 mm)*** Type I reservoirs(k>0.1 mD),the volume percentage of moveable fluid in pores with a radius larger than 0.5 mm is relatively high(greater than 40%).The degree of oil recovery of water flooding serves as the basis for forecasting recoverable reserves for tight oil *** reserves under water flooding,mainly occur in pores with a radius greater than 0.5 *** contribution of Type I reserves to oil pro

关键词： Tight reservoir Pore-throat structure Moveable fluid volume Moveable oil saturation(MOS) Waterflooding oil recovery South Ordos basin

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新生儿信息管理及追溯系统的设计

计算机与数字工程 2018年第11期46卷 2249-2252,2341页

作者：汪冬魏洪河戴嘉颖曾冬冬上海城建职业学院机电工程与信息学院上海201415 中兴通讯股份有限公司上海研发中心上海201203 上海健康医学院医疗器械学院上海201318

针对目前医院在新生儿管理上的诸多不足,提出一种以新生儿为核心的信息管理及追溯系统方案。系统采用目前常用的RFID(射频识别)、二维码、实时无线传输等技术,对新生儿信息进行规范化管理,实现了新生儿从出生登记到出院的信息化管理及... 详细信息

针对目前医院在新生儿管理上的诸多不足,提出一种以新生儿为核心的信息管理及追溯系统方案。系统采用目前常用的RFID(射频识别)、二维码、实时无线传输等技术,对新生儿信息进行规范化管理,实现了新生儿从出生登记到出院的信息化管理及追溯过程,提升了对新生儿的医疗服务质量。

关键词：信息化管理追溯 RFID 无线传输

鞍钢尾矿重金属污染现状及微生物修复研究进展

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天津科技 2016年第5期43卷 46-48页

作者：魏宏贺董岩松孙立群李敏曹秀凤鞍钢集团矿业公司辽宁沈阳114000 山东大学环境科学与工程学院山东济南250000 山东半岛蓝色经济工程研究院山东济南250100

随着矿产资源的日益开采,矿业固体废物的排放量也日益增多。筛选药剂和重金属等污染物会通过大气颗粒和地表径流等途径扩散到空气、土壤和水中。其中重金属的污染最为严重,对环境造成了极大的压力且威胁着人类的健康。废弃尾矿污染已成... 详细信息

随着矿产资源的日益开采,矿业固体废物的排放量也日益增多。筛选药剂和重金属等污染物会通过大气颗粒和地表径流等途径扩散到空气、土壤和水中。其中重金属的污染最为严重,对环境造成了极大的压力且威胁着人类的健康。废弃尾矿污染已成为制约采选矿行业发展的关键问题。微生物修复作为生物修复的核心技术,在重金属污染固定方面拥有广阔的应用前景。对鞍山尾矿重金属污染现状及微生物修复重金属污染的原理和应用进行了探讨,旨在为尾矿库重金属的污染修复提供理论选择的依据。

关键词：尾矿重金属微生物修复机制

Efficient homojunction tin perovskite solar cells enabled by gradient germanium doping

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Efficient homojunction tin perovskite solar cells enabled by...

An in-situ spectroscopy investigation of alkali metal interaction mechanism with the imide functional group

第十一届新型太阳能材料科学与技术学术研讨会

作者： Zhenzhu Zhao Mulin Sun Yuyang Ji Kaitian Mao Zongming Huang Chengjian Yuan Yuqian Yang honghe Ding Yingguo Yang Yu Li Wenjing Chen Junfa Zhu Jing wei Jixian Xu Watcharaphol Paritmongkol Antonio Abate Zhengguo Xiao Lixin He Qin Hu School of Microelectronics University of Science and Technology of China

P-type self-doping is known to hamper tin-based perovskites for developing highperformance solar cells by increasing background current density and carrier recombination *** this work,we propose a gradient homojunction structure with germanium doping that generates an internal electric field across the perovskite film to deplete the charge *** structure reduces the dark current density of perovskite by over two orders of magnitude and trap density by an order of *** resultant tin-based perovskite solar cells exhibit a higher power conversion efficiency of 13.2% and excellent stability,maintaining 95% and 85% of their initial efficiencies after 250 min of continuous illumination and 3800 h of storage,*** reveal the homojunction formation mechanism using density functional theory calculations and molecular-level *** work provides a reliable strategy for controlling the spatial energy levels in tin perovskite films and offers insights for designing intriguing lead-free perovskite optoelectronics.

关键词： tin-based perovskite gradient homojunction perovskite solar cells

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Nano Research 2020年第12期13卷 3224-3229页

作者： Xu Lian Zhirui Ma Zhonghan Zhang Jinlin Yang Shuo Sun Chengding Gu Yuan Liu honghe Ding Jun Hu Xu Cao Junfa Zhu Shuzhou Li wei Chen Department of Chemistry National University of SingaporeSingapore117543Singapore Centre for Advanced 2D Materials National University of SingaporeSingapore117546Singapore School of Materials Science and Engineering Nanyang Technological UniversitySingapore639798Singapore National University of Singapore(Suzhou)Research Institute Suzhou215123China Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityFuzhou350207China National Synchrotron Radiation Laboratory Department of Chemical PhysicsUniversity of Science and Technology of ChinaHefei230029China Department of Physics National University of SingaporeSingapore117542Singapore

Organic anode materials have attracted considerable interest owing to their high tunability by adopting various active functional ***,the interaction mechanisms between the alkali metals and the active functional groups in host materials have been rarely studied ***,a widely used organic semiconductor of perylene-3,4,9,10-tetracarboxylic diimide(PTCDI)was selected as a model system to investigate how alkali metals interact with imide functional groups and induce changes in chemical and electronic structures of *** interaction at the alkali/PTCDI interface was probed by in-situ X-ray photoelectron spectroscopy(XPS),ultraviolet photoelectron spectroscopy(UPS),synchrotron-based near edge X-ray absorption fine structure(NEXAFS),and corroborated by density functional theory(DFT)*** results indicate that the alkali metal replaces the hydrogen atoms in the imide group and interact with the imide nitrogen of *** transfer induced gap states and downward band-bending like effects are identified on the alkali-deposited PTCDI *** was found that Na shows a stronger electron transfer effect than *** a model study of alkali insertion/intercalation in PTCDI gives insights for the exploration of the potential host materials for alkali storage applications.

关键词： perylene-3,4,9,10-tetracarboxylic diimide(PTCDI) lithium storage organic anode imide electron transfer