Screening of New Additives of Active-Carbon-Supported Heteropoly Acid Catalyst for Friedel–Crafts Reaction by Gaussian Process Regression
Author:
Affiliation:
1. Department of Applied Chemistry, Graduate School of Engineering, Tohoku University, Aoba 6-6-07, Aramaki, Aoba-ku, Sendai 980-8579, Japan
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie102477y
Reference14 articles.
1. DETERMINATION OF SYNERGISTICALLY GENERATED ACID STRENGTH BY NEURAL NETWORK COMBINED WITH EXPERIMENT
2. Estimation of the acid strength of mixed oxides by a neural network
3. Estimation of catalytic performance by neural network — product distribution in oxidative dehydrogenation of ethylbenzene
4. Prediction of Effective Additives to a Ni/Active Carbon Catalyst for Vapor-Phase Carbonylation of Methanol by an Artificial Neural Network
5. Artificial Neural Network (ANN)-Aided Optimization of ZSM-5 Catalyst for the Dimethyl Ether to Olefin (DTO) Reaction from Neat Dimethyl Ether (DME)
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Bi-directional prediction of hydrothermal carbonization characteristics of agroforestry and livestock wastes with variable components: Graph learning model-aided waste recycle;Journal of Cleaner Production;2024-02
2. Can Machine Learning Predict the Reaction Paths in Catalytic CO2 Reduction on Small Cu/Ni Clusters?;Catalysts;2023-11-26
3. Machine Learning for Chemistry: Basics and Applications;Engineering;2023-07
4. Basal plane activation of two-dimensional transition metal dichalcogenides via alloying for the hydrogen evolution reaction: first-principles calculations and machine learning prediction;Journal of Materials Chemistry A;2023
5. Prediction model for methanation reaction conditions based on a state transition simulated annealing algorithm optimized extreme learning machine;International Journal of Hydrogen Energy;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3