检索结果-南通市图书馆

First-principles investigation of the significant anisotropy and ultrahigh thermoelectric efficiency of a novel two-dimensional Ga_(2)I_(2)S_(2) at room temperature

在线全文

学校读者我要写书评

暂无评论

International Journal of Extreme Manufacturing 2022年第2期4卷 100-112页

作者： Zheng Chang Ke Liu zhehao sun Kunpeng Yuan Shuwen Cheng Yufei Gao Xiaoliang Zhang Chen Shen Hongbin Zhang Ning Wang Dawei Tang Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education School of Energy and Power EngineeringDalian University of TechnologyDalian 116024People’s Republic of China Research Office of Propulsion Technology Expace Technology Corporation LimitedBeijing 100176People’s Republic of China Research School of Chemistry Australian National UniversityCanberraACT 2601Australia School of Metallurgy Northeastern UniversityShenyang 100819People’s Republic of China Institut fur Materialwissenschaft Technische Universitat DarmstadtDarmstadt 64283Germany School of Physics University of Electronic Science and Technology of ChinaChengdu 610054People’s Republic of China

Two-dimensional(2D)thermoelectric(TE)materials have been widely developed;however,some 2D materials exhibit isotropic phonon,electron transport properties,and poor TE performance,which limit their application ***,exploring excellent anisotropic and ultrahigh-performance TE materials are very ***,we first investigate the phonon thermal and TE properties of a novel 2D-connectivity ternary compound named *** paper comprehensively studies the phonon dispersion,phonon anharmonicity,lattice thermal conductivity,electronic structure,carrier mobility,Seebeck coefficient,electrical conductivity,and the dimensionless figure of merit(ZT)versus carrier concentration for 2D Ga_(2)I_(2)S_(2).We conclude that the in-plane lattice thermal conductivities of Ga_(2)I_(2)S_(2) at room temperature(300 K)are found to be 1.55 W mK^(−1) in the X-axis direction(xx-direction)and 3.82 W mK^(−1)in the Y-axis direction(yy-direction),which means its anisotropy ratio reaches ***,the TE performance of p-type and n-type doping 2D Ga2I2S2 also shows significant anisotropy,giving rise to the ZT peak values of p-type doping in xx-and yy-directions being 0.81 and 1.99,respectively,and those of n-type doping reach ultrahigh values of 7.12 and 2.89 at 300 K,which are obviously higher than the reported values for p-type and n-type doping ternary compound Sn2BiX(ZT∼1.70 and∼2.45 at 300 K)(2020 Nano Energy 67104283).This work demonstrates that 2D Ga_(2)I_(2)S_(2) has high anisotropic TE conversion efficiency and can also be used as a new potential room-temperature TE material.

关键词： thermoelectricity strong anisotropy two-dimensional materials room temperature first-principles calculation

Machine learning accelerated calculation and design of electrocatalysts for CO_(2) reduction

在线全文

学校读者我要写书评

暂无评论

SmartMat 2022年第1期3卷 68-83页

作者： zhehao sun Hang Yin Kaili Liu Shuwen Cheng Gang Kevin Li Sibudjing Kawi Haitao Zhao Guohua Jia Zongyou Yin Research School of Chemistry Australian National UniversityCanberraAustralian Capital TerritoryAustralia Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore Department of Chemical Engineering The University of MelbourneMelbourneVictoriaAustralia Materials Interfaces Center Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina Curtin Institute of Functional Molecules and Interfaces School of Molecular and Life SciencesCurtin UniversityWestern AustraliaAustralia

In the past decades,machine learning(ML)has impacted the field of *** researchers have begun to take advantage of ML‐based data‐driven techniques to overcome the computational and experimental limitations to accelerate rational catalyst ***,significant efforts have been made to perform ML to accelerate calculation and aid electrocatalyst design for CO_(2) *** review discusses recent applications of ML to discover,design,and optimize novel ***,insights into ML aided in accelerating calculation are ***,ML aided in the rational design of the electrocatalyst is introduced,including establishing a data set/data source selection and validation of descriptor selection of ML algorithms validation and predictions of the ***,the opportunities and future challenges are summarized for the future design of electrocatalyst for CO_(2) reduction with the assistance of ML.

关键词： CO_(2)reduction reaction DFT calculation electrocatalyst machine learning rational design

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

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

不同类型化工国企经营管控的设计探讨

上海化工 2017年第5期42卷 42-44页

作者：孙喆浩上海华谊集团投资有限公司上海200235

针对上海华谊集团投资有限公司所属全资控股子公司规模跨度大、行业分布广、产品没有关联性等特点,提出不同类型化工国企经营管控的设计探讨。提出了"一司一策,有效管控;一司一议,分类管控"等实现管理出效益、管理出效率、管理出成果的... 详细信息

针对上海华谊集团投资有限公司所属全资控股子公司规模跨度大、行业分布广、产品没有关联性等特点,提出不同类型化工国企经营管控的设计探讨。提出了"一司一策,有效管控;一司一议,分类管控"等实现管理出效益、管理出效率、管理出成果的一系列设计。

关键词：不同类型国企经营管控设计探讨

在线全文

学校读者我要写书评

暂无评论

深度混合动力轿车动力合成系统的热平衡研究

汽车实用技术 2018年第17期44卷 7-8,28页

作者：孙哲浩科力远混合动力技术有限公司上海分公司上海201501

新能源汽车的三大核心技术电机、电池、电控中结合新材料、新技术的动力电池,作为新能源汽车的动力来源,是车辆动力性、舒适性、安全性的最终保证。当前的纯电动汽车在续航性能来说,性价比还不能尽如人意,在当前技术和产业链形势下,混... 详细信息

新能源汽车的三大核心技术电机、电池、电控中结合新材料、新技术的动力电池,作为新能源汽车的动力来源,是车辆动力性、舒适性、安全性的最终保证。当前的纯电动汽车在续航性能来说,性价比还不能尽如人意,在当前技术和产业链形势下,混合动力汽车则是一条有效途径。同时,新能源汽车的动力电池和内燃机的热管理系统,对未来新能源混合动力汽车设计有着重大的意义。

关键词：混合动力热管理系统新能源 HEVTMS

蛋白质与多糖类交互作用对食品乳状液稳定性的影响

在线全文

学校读者我要写书评

暂无评论

食品与发酵工业 2000年第2期26卷 61-64页

作者：孙哲浩赵谋明彭志英华南理工大学食品与生物工程学院广州510640

论述了蛋白质的乳化性质及多糖类与蛋白质交互作用对食品乳状液稳定性的影响 ,共价结合及静电交互作用对乳状液稳定性产生有利影响 ,而弱的交互作用及无交互作用可能导致乳状液的分层等不稳定现象的发生。

关键词：蛋白质多糖交互作用乳状液稳定性食品

在线全文

学校读者我要写书评

暂无评论

明胶与海藻酸钠的相互作用及其应用

食品与发酵工业 2000年第3期26卷 10-14页

作者：赵谋明李敏孙哲浩彭志英华南理工大学食品与生物工程学院广州510641

研究了不同浓度明胶、海藻酸钠混合溶胶粘度变化 ,以及不同 pH值和不同离子浓度对体系粘度变化的影响 ,结果表明 ,明胶与海藻酸钠主要的交互作用力为二成分间静电引力。在此基础上 ,对仿生鱼翅的生产工艺和配方进行了初步研究。综合粗... 详细信息

研究了不同浓度明胶、海藻酸钠混合溶胶粘度变化 ,以及不同 pH值和不同离子浓度对体系粘度变化的影响 ,结果表明 ,明胶与海藻酸钠主要的交互作用力为二成分间静电引力。在此基础上 ,对仿生鱼翅的生产工艺和配方进行了初步研究。综合粗蛋白含量、硬度、拉伸强度和透明度等结果得出 :8%明胶、2 %海藻酸钠在纺丝原液 pH为 6 0时 ,制备的仿生鱼翅效果最佳。

关键词：交互作用明胶海藻酸钠仿生鱼翅食品

在线全文

学校读者我要写书评

暂无评论

柑橘纤维研究进展

食品工业 2020年第11期41卷 282-286页

作者：孙哲浩李巧玲吕广王等河北科技大学食品科学与工程系石家庄050091 河北兄弟伊兰食品科技股份有限公司石家庄050800

研究柑橘纤维作为膳食纤维的由来、提取及改性、功能特性及其在食品工业中的应用。柑橘纤维是优质的膳食纤维,不仅在柑橘属里纤维的含量多,而且其对一些慢性病具有极好的治疗作用和防止作用,除营养特性外,柑橘纤维在食品加工中还具有一... 详细信息

研究柑橘纤维作为膳食纤维的由来、提取及改性、功能特性及其在食品工业中的应用。柑橘纤维是优质的膳食纤维,不仅在柑橘属里纤维的含量多,而且其对一些慢性病具有极好的治疗作用和防止作用,除营养特性外,柑橘纤维在食品加工中还具有一些功能特性,如保水性、持油性、黏性、凝胶特性及一定乳化稳定性,因此在乳品饮料、肉类、烘焙等食品及保健品中具有广泛应用价值。

关键词：柑橘纤维提取改性功能特性

“食品工厂设计与环境保护”课程卫生设计教学探讨

在线全文

学校读者我要写书评

暂无评论

食品工业 2023年第7期44卷 168-172页

作者：孙哲浩李巧玲河北科技大学食品与生物学院石家庄050018

探讨“食品工厂设计与环境保护”课程中卫生设计的相关教学内容,教学方法。食品工厂卫生设计要从厂址选择、工厂内部卫生设计、车间卫生设计、设备的卫生设计及仓库的卫生设计方面进行统筹考虑。结合OBE理念,以学生为中心,理论联系实际... 详细信息

探讨“食品工厂设计与环境保护”课程中卫生设计的相关教学内容,教学方法。食品工厂卫生设计要从厂址选择、工厂内部卫生设计、车间卫生设计、设备的卫生设计及仓库的卫生设计方面进行统筹考虑。结合OBE理念,以学生为中心,理论联系实际,通过课堂一些实际图片的展示结合工厂的参观实习,使学生认知良好的卫生设计能够从源头消除可能给未来食品生产带来的物理、化学及生物的危害,并培养食品专业大学生的工程能力,为今后面临新建及改扩建工厂的实践积累经验。

关键词：食品工厂设计卫生设计教学探讨