发布求助
文献互助 智能选刊 最新文献

Chemistry methods : new approaches to solving problems in chemistry最新文献

筛选
英文 中文
Cover Picture: Flow Synthesis of Single and Mixed Metal Oxides (Chem. Methods 8/2022) 封面图片:单一和混合金属氧化物的流动合成(化学)。方法8/2022)
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-07-25 DOI: 10.1002/cmtd.202200048
Dr. Zachary S. Campbell, Steven Baro, Dr. Yunfei Gao, Prof. Fanxing Li, Prof. Milad Abolhasani
{"title":"Cover Picture: Flow Synthesis of Single and Mixed Metal Oxides (Chem. Methods 8/2022)","authors":"Dr. Zachary S. Campbell,&nbsp;Steven Baro,&nbsp;Dr. Yunfei Gao,&nbsp;Prof. Fanxing Li,&nbsp;Prof. Milad Abolhasani","doi":"10.1002/cmtd.202200048","DOIUrl":"https://doi.org/10.1002/cmtd.202200048","url":null,"abstract":"<p><b>The Front Cover</b> shows a versatile flow synthesis strategy for continuous manufacturing of single- and mixed-metal oxide particles with a high degree of size monodispersity. The flow-focusing microreactor equipped with an online photo-crosslinking module enables facile production of a broad range of monodispersed metal oxide particles (ZnO, SnO2, CeO2, LaPrO3) using metal organic precursors beyond metal alkoxides. More information can be found in the Research Article by Zachary S. Campbell et al..\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91872499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mechanochemical Bromination of Naphthalene Catalyzed by Zeolites: From Small Scale to Continuous Synthesis 沸石催化萘的机械化学溴化反应:从小规模到连续合成
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-07-12 DOI: 10.1002/cmtd.202200035
Dr. Karen J. Ardila-Fierro, Leonarda Vugrin, Dr. Ivan Halasz, Dr. Ana Palčić, Prof. José G. Hernández
{"title":"Mechanochemical Bromination of Naphthalene Catalyzed by Zeolites: From Small Scale to Continuous Synthesis","authors":"Dr. Karen J. Ardila-Fierro,&nbsp;Leonarda Vugrin,&nbsp;Dr. Ivan Halasz,&nbsp;Dr. Ana Palčić,&nbsp;Prof. José G. Hernández","doi":"10.1002/cmtd.202200035","DOIUrl":"10.1002/cmtd.202200035","url":null,"abstract":"<p>Catalyzed reactions of organic substrates that operate continuously by extrusion techniques are rare. In this study, we developed a mechanochemical bromination of unactivated naphthalene (<b>1</b>) with 1,3-dibromo-5,5-dimethylhydantoin (<b>DBDMH</b>), catalyzed by zeolites in a ball mill. The use of <b>DBDMH</b> enabled the atom economy of the reaction to be superior compared to the other brominating agents evaluated. Among the zeolites tested, a FAU-type zeolite demonstrated high catalytic activity and recyclability. The success of the bromination route on a small scale enabled the development of a continuous catalyzed bromination of <b>1</b> by twin-screw extrusion.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45643171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending NMR Tortuosity Measurements to Paramagnetic Catalyst Materials Through the Use of Low Field NMR 通过使用低场核磁共振将核磁共振扭曲度测量扩展到顺磁性催化剂材料
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-07-07 DOI: 10.1002/cmtd.202200025
Dr. Jordan A. Ward-Williams, Vivian Karsten, Dr. Constant M. Guédon, Dr. Timothy A. Baart, Dr. Peter Munnik, Prof. Andrew J. Sederman, Prof. Mick D. Mantle, Dr. Qingyuan Zheng, Prof. Lynn F. Gladden
{"title":"Extending NMR Tortuosity Measurements to Paramagnetic Catalyst Materials Through the Use of Low Field NMR","authors":"Dr. Jordan A. Ward-Williams,&nbsp;Vivian Karsten,&nbsp;Dr. Constant M. Guédon,&nbsp;Dr. Timothy A. Baart,&nbsp;Dr. Peter Munnik,&nbsp;Prof. Andrew J. Sederman,&nbsp;Prof. Mick D. Mantle,&nbsp;Dr. Qingyuan Zheng,&nbsp;Prof. Lynn F. Gladden","doi":"10.1002/cmtd.202200025","DOIUrl":"10.1002/cmtd.202200025","url":null,"abstract":"<p>Pulsed Field Gradient (PFG) NMR is recognised as an analytical technique used to characterise the tortuosity of porous media by measurement of the self-diffusion coefficient of a fluid contained within the pore space of the material of interest. Such measurements are usually performed on high magnetic field NMR hardware (&gt;300 MHz). However, many materials of interest, in particular heterogeneous catalysts, contain significant amounts of paramagnetic species, which make such measurements impossible due to their characteristic short spin-spin relaxation times. Here it is demonstrated that by performing PFG NMR measurements on a low field magnet (2 MHz), tortuosity measurements can be obtained for a range of titania (TiO<sub>2</sub>) based carriers and catalyst precursors containing paramagnetic species up to a 20 wt.% loading. The approach is also used to compare the tortuosity of two catalyst precursors of the same metal loading prepared by different methods.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47203161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Cover Picture: ChemPlot, a Python Library for Chemical Space Visualization (Chem. Methods 7/2022) 封面图片：ChemPlot，一个用于化学空间可视化的Python库（Chem.Methods 7/2022）
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-07-01 DOI: 10.1002/cmtd.202200039
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
{"title":"Cover Picture: ChemPlot, a Python Library for Chemical Space Visualization (Chem. Methods 7/2022)","authors":"Murat Cihan Sorkun,&nbsp;Dajt Mullaj,&nbsp;J. M. Vianney A. Koelman,&nbsp;Süleyman Er","doi":"10.1002/cmtd.202200039","DOIUrl":"10.1002/cmtd.202200039","url":null,"abstract":"<p><b>The Front Cover</b> shows the ChemPlot-visualized reduced chemical space of molecules enhanced with two-dimensional illustrations of molecules. In addition to being easy-to-use, free and open source, a noteworthy feature of ChemPlot is the application of tailored similarity for the property-sensitive visualization of chemical spaces. ChemPlot streamlines the analysis of molecular datasets by reducing the information to human perception level, tackling the activity/property cliff problem, and facilitating the assessment of the applicability domain of machine learning models in molecular studies. More information can be found in the Research Article by Murat C. Sorkun et al.<figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49450022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ChemPlot, a Python Library for Chemical Space Visualization chempt，一个用于化学空间可视化的Python库
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-07-01 DOI: 10.1002/cmtd.202200038
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
{"title":"ChemPlot, a Python Library for Chemical Space Visualization","authors":"Murat Cihan Sorkun,&nbsp;Dajt Mullaj,&nbsp;J. M. Vianney A. Koelman,&nbsp;Süleyman Er","doi":"10.1002/cmtd.202200038","DOIUrl":"https://doi.org/10.1002/cmtd.202200038","url":null,"abstract":"<p>Invited for this month's cover is the Autonomous Energy Materials Discovery [AMD] Group of Dr. Süleyman Er at DIFFER, and colleagues at CCER and Eindhoven University of Technology (Netherlands). The cover picture shows the ChemPlot-visualized reduced chemical space of molecules enhanced with two-dimensional illustrations of molecules. In addition to being easy-to-use, free and open source, a noteworthy feature of ChemPlot is the application of tailored similarity for the property-sensitive visualization of chemical spaces. ChemPlot streamlines the analysis of molecular datasets by reducing the information to human perception level, tackling the activity/property cliff problem, and facilitating the assessment of the applicability domain of machine learning models in molecular studies. Read the full text of their Research Article at 10.1002/cmtd.202200005.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137453994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Grazing-Incidence Texture Tomography and Diffuse Reflectivity Tomography of an Organic Semiconductor Device Array** 有机半导体器件阵列的掠入射纹理层析成像和漫反射层析成像**
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-06-23 DOI: 10.1002/cmtd.202200016
Dr. Detlef-M. Smilgies, Prof. Margaret K. A. Koker, Dr. Ruipeng Li, Dr. Leo Shaw, Prof. Zhenan Bao
{"title":"Grazing-Incidence Texture Tomography and Diffuse Reflectivity Tomography of an Organic Semiconductor Device Array**","authors":"Dr. Detlef-M. Smilgies,&nbsp;Prof. Margaret K. A. Koker,&nbsp;Dr. Ruipeng Li,&nbsp;Dr. Leo Shaw,&nbsp;Prof. Zhenan Bao","doi":"10.1002/cmtd.202200016","DOIUrl":"10.1002/cmtd.202200016","url":null,"abstract":"<p>The use of grazing-incidence scattering methods for the characterization of 2D patterned organic thin films is limited due to the elongated 1D footprint of the X-ray beam on the sample. However, this characteristic feature can be turned into an advantage, when combined with tomographic reconstruction. In this pilot study we show, how the use of a chosen texture reflection and a diffuse reflectivity signal can each provide 2D images of the deposits, simultaneously revealing the organic film's crystal orientation and the location of the metal electrodes in a field-effect transistor structure from a single sequence of diffraction images.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45827660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-Driven Analysis of High-Throughput Experiments on Liquid Battery Electrolyte Formulations: Unraveling the Impact of Composition on Conductivity** 液体电池电解质配方的高通量实验数据驱动分析:揭示成分对电导率的影响**
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-06-10 DOI: 10.1002/cmtd.202200008
Dr. Anand Narayanan Krishnamoorthy, Dr. Christian Wölke, Dr. Diddo Diddens, Dr. Moumita Maiti, Youssef Mabrouk, Peng Yan, Dr. Mariano Grünebaum, Prof. Dr. Martin Winter, Prof. Dr. Andreas Heuer, Dr. Isidora Cekic-Laskovic
{"title":"Data-Driven Analysis of High-Throughput Experiments on Liquid Battery Electrolyte Formulations: Unraveling the Impact of Composition on Conductivity**","authors":"Dr. Anand Narayanan Krishnamoorthy,&nbsp;Dr. Christian Wölke,&nbsp;Dr. Diddo Diddens,&nbsp;Dr. Moumita Maiti,&nbsp;Youssef Mabrouk,&nbsp;Peng Yan,&nbsp;Dr. Mariano Grünebaum,&nbsp;Prof. Dr. Martin Winter,&nbsp;Prof. Dr. Andreas Heuer,&nbsp;Dr. Isidora Cekic-Laskovic","doi":"10.1002/cmtd.202200008","DOIUrl":"10.1002/cmtd.202200008","url":null,"abstract":"<p>A specially designed high-throughput experimentation facility, used for the highly effective exploration of electrolyte formulations in composition space for diverse battery chemistries and targeted applications, is presented. It follows a high-throughput formulation-characterization-optimization chain based on a set of previously established electrolyte-related requirements. Here, the facility is used to acquire large dataset of ionic conductivities of non-aqueous battery electrolytes in the conducting salt-solvent/co-solvent-additive composition space. The measured temperature dependence is mapped on three generalized Arrhenius parameters, including deviations from simple activated dynamics. This reduced dataset is thereafter analyzed by a scalable data-driven workflow, based on linear and Gaussian process regression, providing detailed information about the compositional dependence of the conductivity. Complete insensitivity to the addition of electrolyte additives for otherwise constant molar composition is observed. Quantitative dependencies, for example, on the temperature-dependent conducting salt content for optimum conductivity are provided and discussed in light of physical properties such as viscosity and ion association effects.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45603207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Cover Picture: (Chem. Methods 6/2022) 封面图片：（化学方法6/2022）
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-05-31 DOI: 10.1002/cmtd.202200037
{"title":"Cover Picture: (Chem. Methods 6/2022)","authors":"","doi":"10.1002/cmtd.202200037","DOIUrl":"10.1002/cmtd.202200037","url":null,"abstract":"<p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49488960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ChemPlot, a Python Library for Chemical Space Visualization** chempt，一个用于化学空间可视化的Python库**
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-05-19 DOI: 10.1002/cmtd.202200005
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
{"title":"ChemPlot, a Python Library for Chemical Space Visualization**","authors":"Murat Cihan Sorkun,&nbsp;Dajt Mullaj,&nbsp;J. M. Vianney A. Koelman,&nbsp;Süleyman Er","doi":"10.1002/cmtd.202200005","DOIUrl":"https://doi.org/10.1002/cmtd.202200005","url":null,"abstract":"<p>Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot, which enables users to visualize the chemical space of molecular datasets in both static and interactive ways. ChemPlot features structural and tailored similarity methods, together with three different dimensionality reduction methods: PCA, t-SNE, and UMAP. ChemPlot is the first visualization software that tackles the activity/property cliff problem by incorporating tailored similarity. With tailored similarity, the chemical space is constructed in a supervised manner considering target properties. Additionally, we propose a metric, the Distance Property Relationship score, to quantify the property difference of similar (i. e. close) molecules in the visualized chemical space. ChemPlot can be installed via Conda or PyPI (pip) and a web application is freely accessible at https://www.amdlab.nl/chemplot/.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137861759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sharing is Caring: Guidelines for Sharing in the Electronic Laboratory Notebook (ELN) Chemotion as applied by a Synthesis-oriented Working Group** 共享即关怀:由合成导向工作组应用的电子实验室笔记(ELN)化学共享指南**
Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-05-18 DOI: 10.1002/cmtd.202200026
Fabian Fink, Henrika M. Hüppe, Dr. Nicole Jung, Dr. Alexander Hoffmann, Prof. Dr. Sonja Herres-Pawlis
{"title":"Sharing is Caring: Guidelines for Sharing in the Electronic Laboratory Notebook (ELN) Chemotion as applied by a Synthesis-oriented Working Group**","authors":"Fabian Fink,&nbsp;Henrika M. Hüppe,&nbsp;Dr. Nicole Jung,&nbsp;Dr. Alexander Hoffmann,&nbsp;Prof. Dr. Sonja Herres-Pawlis","doi":"10.1002/cmtd.202200026","DOIUrl":"10.1002/cmtd.202200026","url":null,"abstract":"<p>The documentation and storage of experimental data is crucial in research data management and science in general. With regard to automated data curation and the generation of data for machine learning processes, the collection and sharing of machine-readable data, including negative results, is a key step. The electronic laboratory notebook (ELN) Chemotion provides the possibility to share synthesis data with other scientists taking the mentioned aspects into account. In these guidelines, we offer general information on how to share data in Chemotion and present our sharing policy as a best practice example on how to use Chemotion's sharing functions in a working group with several group members on various hierarchy levels.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":"2 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45925889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信