检索结果-南通市图书馆

Electrochemical conversion of methane to bridge the gap in the artificial carbon cycle

Journal of Energy Chemistry 2025年第1期100卷 286-308页

作者： Yuhao Peng Yuefeng Song Ihar Razanau Juanxiu Xiao Wei Xiao Di Hu Guoxiong Wang College of Chemistry and Molecular Sciences Hubei Key Laboratory of Electrochemical Power Sources Wuhan University State Key Laboratory of Catalysis Dalian National Laboratory for Clean Energy iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) Dalian Institute of Chemical Physics Chinese Academy of Sciences Laboratory of Physical-chemical technologies SSPA Scientific and Practical Materials Research Centre of NAS of Belarus State Key Laboratory of Marine Resources Utilization in South China Sea Collaborative Innovation Center of Marine Science and Technology School of Marine Science and Engineering Hainan University Department of chemical and Environmental Engineering University of Nottingham Ningbo China

Methane, an abundant one-carbon（C1） resource, is extensively used in the industrial production of vital fuels and value-added chemicals. However, current industrial methane conversion technologies are energy-and carbon-intensive, mainly due to the high activation energy required to break the inert C–H bond, low selectivity, and problematic side reactions, including CO2emissions and coke deposition. Electrochemical conversion of methane（ECM） using intermittent renewable energy offers an attractive solution, due to its modular reactor design and operational flexibility across a broad spectrum of temperatures and pressures. This review emphasizes conversion pathways of methane in various reaction systems, highlighting the significance and advantages of ECM in facilitating a sustainable artificial carbon cycle. This work provides a comprehensive overview of conventional methane activation mechanisms and delineates the complete pathways of methane conversion in electrolysis contexts. Based on surface/interface chemistry, this work systematically analyzes proposed reaction pathways and corresponding strategies to enhance ECM efficiency towards various target products, including syngas, hydrocarbons, oxygenates, and advanced carbon materials. The discussion also encompasses opportunities and challenges for the ECM process, including insights into ECM pathways, rational electrocatalyst design, establishment of benchmarking protocols, electrolyte engineering, enhancement of CH4conversion rates, and minimization of CO2emission.

关键词： Activation energy

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nanoimprint lithography-assisted block copolymer self-assembly for hyperfine fabrication of magnetic patterns based on L10-FePt nanoparticles

引用

Science China Chemistry 2025年

作者： Jie Zhang Yi Chen Guijun Li Zelin Sun Zhengong Meng Wai-Yeung Wong Department of Applied Biology and chemical Technology and Research Institute for Smart Energy The Hong Kong Polytechnic University The Hong Kong Polytechnic University Shenzhen Research Institute division of Integrative systems and Design and Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology School of Flexible Electronics (Future Technology) and Institute of Advanced Materials (IAM) Nanjing Tech University

L10-FePt-type bit-patterned media has provided a promising alternative for ultrahigh-density magnetic recording systems in the current digital era, but rapid fabrication of magnetic patterns with hyperfine bit islands is still challenging, especially with the target for miniaturization and scalable production simultaneously. Herein, Fe,Pt-containing block copolymers were utilized as single-source precursors for solution-processable patterning and subsequent generation of the demanding magnetic FePt dots by in situ pyrolysis. High-throughput nanoimprint lithography was initially employed to fabricate the predefined bit cells precisely,and then the intrinsic self-assembly of phase-separated block copolymers further drove the formation of accurate bit *** from the synergistic effect of top-down lithographic approach and bottom-up self-assembly, the customizable patterns could be achieved for large-scale mass production in targeted areas, but high-density isolated dots could also be accurately aligned along the patterned features after subsequent self-assembly. This reliable strategy would provide a good avenue to precisely construct ultrahigh-density magnetic data storage devices.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Synthesis of indirect work exchange networks considering both isothermal and adiabatic process together with exergy analysis

引用

Chinese Journal of chemical Engineering 2018年第8期26卷 1644-1652页

作者： Yu Zhuang Linlin Liu Lei Zhang Jian Du Institute of chemical Process systems Engineering School of Chemical Engineering Dalian University of Technology

In this paper, an efficient methodology for synthesizing the indirect work exchange networks(WEN) considering isothermal process and adiabatic process respectively based on transshipment model is first proposed. In contrast with superstructure method, the transshipment model is easier to obtain the minimum utility consumption taken as the objective function and more convenient for us to attain the optimal network configuration for further minimizing the number of units. Different from division of temperature intervals in heat exchange networks,different pressure intervals are gained according to the maximum compression/expansion ratio in consideration of operating principles of indirect work exchangers and the characteristics of no pressure constraints for stream matches. The presented approach for WEN synthesis is a linear programming model applied to the isothermal process, but for indirect work exchange networks with adiabatic process, a nonlinear programming model needs establishing. Additionally, temperatures should be regarded as decision variables limited to the range between inlet and outlet temperatures in each sub-network. The constructed transshipment model can be solved first to get the minimum utility consumption and further to determine the minimum number of units by merging the adjacent pressure intervals on the basis of the proposed merging methods, which is proved to be effective through exergy analysis at the level of units structures. Finally, two cases are calculated to confirm it is dramatically feasible and effective that the optimal WEN configuration can be gained by the proposed method.

关键词： Work exchange networks Transshipment model Adiabatic process Exergy analysis Isothermal process Work cascade

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Fully‑Printed Wearable Bandage‑Based Electrochemical Sensor with pH Correction for Wound Infection Monitoring

引用

Nano-Micro Letters 2025年第3期17卷 355-375页

作者： Kanyawee Kaewpradub Kornautchaya Veenuttranon Husanai Jantapaso Pimonsri Mittraparp‑arthorn Itthipon Jeerapan Center of Excellence for Trace Analysis and Biosensor Prince of Songkla UniversityHat Yai 90110SongkhlaThailand division of Physical Science Faculty of SciencePrince of Songkla UniversityHat Yai 90110SongkhlaThailand Center of Excellence for Innovation in Chemistry Faculty of SciencePrince of Songkla UniversityHat Yai 90110SongkhlaThailand The ijE Electrochemistry for All Laboratory Prince of Songkla UniversityHat Yai 90110SongkhlaThailand division of Biological Science Faculty of SciencePrince of Songkla UniversityHat Yai 90110SongkhlaThailand

Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human *** diagnosis remains challenging,necessitating suitable materials for high-performance wearable sensors to offer prompt *** devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously,which is crucial for obtaining a comprehensive understanding of wound status and optimizing ***,improving materials and analysis system accuracy is *** article introduces the first example of a flexible array capable of detecting pyocyanin,a bacterial virulence factor,while correcting dynamic pH *** demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor *** screen-printable inks were developed to enhance analytical *** analytical performances of two sensitive sensor systems(i.e.,fully-printed porous graphene/multiwalled carbon nanotube(CNT)and polyaniline/CNT composites for pyocyanin and pH sensors)are *** least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex *** sensitive and effective strategy shows potential for personalized applications due to its affordability,ease of use,and ability to adjust for dynamic pH changes.

关键词： Pyocyanin Bandages Wound monitoring Biosensor Wearable device

来源：

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

远地点发动机的最佳化

引用

固体火箭技术 1979年第3期 12-30页

作者： C.A.Chase M.J.Kutkus 阮崇智 united technologies chemical systems division

本文讨论了远地点发动机的最佳化问题,同时还评述了进行这种分析所需要的计算工具。这一问题是从材料和工作过程参数来入手解决的。论述了现行的工艺技术水平和新工艺及新材料,说明了材料对最佳参数的影响,以及发动机性能对这些参数的... 详细信息

本文讨论了远地点发动机的最佳化问题,同时还评述了进行这种分析所需要的计算工具。这一问题是从材料和工作过程参数来入手解决的。论述了现行的工艺技术水平和新工艺及新材料,说明了材料对最佳参数的影响,以及发动机性能对这些参数的敏感性。举出了一个现行发动机系统最佳化的例子作为示范,并说明如何采用较先进的工艺技术来改进产品性能。

关键词：远地点发动机设计参数计算工具绝热层扩散段隔热层设计最佳化推进剂燃烧速度推进剂燃速

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Formation of carbon and oxygen rich surface layer on high purity magnesium by atmospheric carbon dioxide plasma

引用

Journal of Magnesium and Alloys 2023年第1期11卷 88-99页

作者： Gyoung G.Jang Sinchul Yeom Jong K.Keum Mina Yoon Harry III Meyer Yi-Feng Su Jiheon Jun Manufacturing Science division Oak Ridge National Laboratory(ORNL)One Bethel Valley RoadPO Box 2008MS6054Oak RidgeTN 37831United States Material Science and technologies division Oak Ridge National Laboratory(ORNL)One Bethel Valley RoadOak RidgeTN 37831United States Neutron Scattering division&Center for Nanophase Materials Sciences ORNLOne Bethel Valley RoadOak RidgeTN 37831United States chemical Sciences division ORNLOne Bethel Valley RoadOak RidgeTN 37831United States

Carbon and oxygen-rich corrosion barrier layer formed on Mg by a simple and scalable CO_(2) atmospheric plasma(CO_(2)-AP)*** reactive CO_(2)-AP interacts with the Mg surface and forms a unique layered structure with the top MgCO_(3)/MgO-intermixed particulates pillars and the bottom dense *** surface features were simultaneously formed on the nano-/micro-structured MgO layer by carbonate molecules,plasma-active CO_(2) molecules,and/or other volatile organic compounds on the nano-/micro-structured MgO particle *** resulting surfaces after CO_(2)-AP were either hydrophobic or hydrophilic and exhibited lower anodic current or high resistance for Mg *** the hydrophobic surfaces of CO_(2)-AP treated Mg,molecular dynamic simulations were performed to understand the origin of hydrophobicity and identified that the amorphous carbon layers formed on the Mg surface are the *** environmentally benign abundant-gas-based process enables the cost reduction associated with waste treatment,generation of by-product,and supply of raw material.

关键词： Atmospheric plasma Magnesium Corrosion protection Surface modification

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Estimating solubility of supercritical H_2S in ionic liquids through a hybrid LSSVM chemical structure model

引用

Chinese Journal of chemical Engineering 2019年第3期27卷 620-627页

作者： Alireza Baghban Jafar Sasanipour Sajjad Habibzadeh Zhi'en Zhang chemical Engineering Department Amirkabir University of Technology Gas Engineering Department Petroleum University of Technology Key Laboratory of Low-grade Energy Utilization technologies and systems Ministry of Education of China Chongqing University

Development of a predictive tool for H_2S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H_2 S solubility were rarely available, so as reliable predictive models. Thus, in this study the H_2 S solubility database was established, and then a Least-Squares Support Vector Machine(LSSVM) approach based on the established database is proposed. Group contribution method was also applied to eliminate the model's dependence on experimental data. Accordingly, our proposed LSSVM model can predict H_2 S solubility as a function of temperature, pressure, and 15 different chemical structures of Ionic liquids(ILs). Root Mean Square Error(RMSE) and coefficient of determination(R^2) are 0.0122 and 0.9941, respectively. Moreover, comparison of our model with other existing models showed its reliability for H_2 S solubility in ILs. This can be very useful for engineers dealing with gas sweetening process in different applications of analysis, simulation, and designation.

关键词： Ionic liquid Hydrogen sulfide LSSVM Group contribution method

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nanoscale chemical imaging of individual chemotherapeutic cytarabineloaded liposomal nanocarriers

引用

Nano Research 2019年第1期12卷 197-203页

作者： Karin Wieland Georg Ramer Victor U. Weiss Guenter Allmaier Bemhard Lendl Andrea Centrone Institute of chemical technologies and Analytics Research Division EnvironmentalProcess Analytics and SensorsTU WienVienna 1060Austria Center for Nanoscale Science and Technology National Institute of Standards and TechnologyGaithersburgMD 20899USA Institute for Research in Electronics and Applied Physics University of MarylandCollege ParkMD 20742USA Institute of chemical technologies and Analytics Research Division Instrumental and Imaging Analytical ChemistryTU WienVienna 1060Austria

Dosage of chemotherapeutic drugs is a tradeoff between efficacy and *** are nanocarriers that increase therapy efficacy and minimize side-effects by delivering otherwise difficult to administer therapeutics with improved efficiency and ***,variabilities in liposome preparation require assessing drug encapsulation efficiency at the single liposome level,an information that,for non-fluorescent therapeutic cargos,is inaccessible due to the minute drug load per *** induced resonance (PTIR) provides nanoscale compositional specificity,up to now,by leveraging an atomic force microscope (AFM) tip contacting the sample to transduce the sample's photothermal ***,on soft samples (e.g.,liposomes) PTIR effectiveness is reduced due to the likelihood of tip-induced sample damage and inefficient AFM ***,individual liposomes loaded with the chemotherapeutic drug cytarabine are deposited intact from suspension via nano-electrospray gas-phase electrophoretic mobility molecular analysis (nES-GEMMA) collection and characterized at the nanoscale with the chemically-sensitive PTIR method.A new tapping-mode PTIR imaging paradigm based on heterodyne detection is shown to be better adapted to measure soft samples,yielding cytarabine distribution in individual liposomes and enabling classification of empty and drug-loaded *** measurements highlight PTIR capability to detect ~ 103 cytarabine molecules (~ 1.7 zmol) label-free and non-destructively.

关键词： tapping photothermal induced resonance (PTIR) nanoscale chemical imaging liposomes cytarabine drug delivery nanocarriers

来源：

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

ChemNODE: A neural ordinary differential equations framework for efficient chemical kinetic solvers

引用

Energy and AI 2022年第1期7卷 142-148页

作者： Opeoluwa Owoyele Pinaki Pal Energy systems division Argonne National Laboratory9700 S Cass AvenueLemontIL 60439United States

Solving for detailed chemical kinetics remains one of the major bottlenecks for computational fluid dynamics simulations of reacting flows using a finite-rate-chemistry *** has motivated the use of neural networks to predict stiff chemical source terms as functions of the thermochemical state of the combustion ***,due to the nonlinearities and multi-scale nature of combustion,the predicted solution often diverges from the true solution when these machine learning models are coupled with a computational fluid dynamics *** is because these approaches minimize the error during training without guaranteeing successful integration with ordinary differential equation *** the present work,a novel neural ordinary differential equations approach to modeling chemical kinetics,termed as ChemNODE,is *** this machine learning framework,the chemical source terms predicted by the neural networks are integrated during training,and by computing the required derivatives,the neural network weights are adjusted accordingly to minimize the difference between the predicted and ground-truth solution.A proof-of-concept study is performed with ChemNODE for homogeneous autoignition of hydrogen-air mixture over a range of composition and thermodynamic *** is shown that ChemNODE accurately captures the chemical kinetic behavior and reproduces the results obtained using the detailed kinetic mechanism at a fraction of the computational cost.

关键词： Machine learning Neural ordinary differential equations Artificial neural networks Deep learning chemical kinetics Artificial neural network Chemistry solvers

来源：

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

E-fuel system: a conceptual breakthrough for energy storage

引用

Science Bulletin 2019年第4期64卷 227-228页

作者： Khalil Amine chemical Sciences and Engineering division Argonne National Laboratory

The demand for renewables such as solar and wind power has become stronger than ever in the past few decades and their numerous advantages have nearly risen to the status of common knowledge. However, as solar and wind power are intermittent in nature, the electricity generated from these renewable sources only comprise a low fraction of global electricity production. Enabling the widespread use of renewables requires energy storage technology that is site-independent, efficient, scalable, stable, cost-effective, safe, energy dense and continuous in operation. To date, none of the existing technologies have adequately met the attributes necessary for storing intermittent and scattered solar, wind and other sources of renewable energy. Pumped hydro and compressed air are scalable and cost-effective, but are limited by geography and geology [1].

关键词： demand technologies attributes

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：