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Titlebook: Reaction Pathways and Mechanisms in Thermocatalytic Biomass Conversion I; Cellulose Structure, Marcel Schlaf,Z. Conrad Zhang Book 2016 Spri

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书目名称Reaction Pathways and Mechanisms in Thermocatalytic Biomass Conversion I
副标题Cellulose Structure,
编辑Marcel Schlaf,Z. Conrad Zhang
视频video
概述Discusses the structure of lignocellulosic biomass and the mechanisms and pathways of cellulose depolymerization by solid acid and metal-based catalysts.Provides an overview of the use of heterogeneou
丛书名称Green Chemistry and Sustainable Technology
图书封面Titlebook: Reaction Pathways and Mechanisms in Thermocatalytic Biomass Conversion I; Cellulose Structure, Marcel Schlaf,Z. Conrad Zhang Book 2016 Spri
描述.Volume I mainly focuses on the current understanding of the reaction pathways and mechanisms involved in several important catalytic conversions of cellulose and carbohydrates. It starts with nanoscale illustrations of biomass structures and describes various reactions including cellulose depolymerization to sugars, catalytic aldose-ketose isomerization and dehydration, selective oxidation, hydrogenolysis of cellulose and sugars, and the conversion of short carbohydrates. The specificity and function of different catalysts and reaction media in relation to the catalytic performances for these reactions are discussed with significant mechanistic details..Marcel Schlaf, PhD, is a Professor at the Department of Chemistry, University of Guelph, Canada..Z. Conrad Zhang, PhD, is a Professor at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, China..
出版日期Book 2016
关键词Aerobic oxidation; Biomass conversion; Cellulose depolymerization; Heterogeneous metal catalysis; Lignoc
版次1
doihttps://doi.org/10.1007/978-981-287-688-1
isbn_softcover978-981-10-1316-4
isbn_ebook978-981-287-688-1Series ISSN 2196-6982 Series E-ISSN 2196-6990
issn_series 2196-6982
copyrightSpringer Science+Business Media Singapore 2016
The information of publication is updating

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Green Chemistry and Sustainable Technologyhttp://image.papertrans.cn/r/image/821847.jpg
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978-981-10-1316-4Springer Science+Business Media Singapore 2016
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Shi-You Dingbilities of automated process discovery techniques and black-box sequence models, on the basis of .. We compare a range of process discovery and sequence modeling techniques on a range of real-life datasets from the business process management domain. Our results indicate that LSTM neural networks m
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Rik De Clercq,Michiel Dusselier,Bert F. Selsexecutable resource-aware process models. In this paper we present an approach for mining resource-aware imperative process models that uses an expressive resource assignment language (RALph) with the de-facto standard notation BPMN. The organisational perspective of the resulting models can be auto
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