Machine Learning in Chemical Engineering:Strengths,Weaknesses,Opportunities,and Threats

作     者：Maarten R.Dobbelaere Pieter P.Plehiers Ruben Van de Vijver Christian V.Stevens Kevin M.Van Geem Maarten R.Dobbelaere;Pieter P.Plehiers;Ruben Van de Vijver;Christian V.Stevens;Kevin M.Van Geem

作者机构：Laboratory for Chemical TechnologyDepartment of MaterialsTextiles and Chemical EngineeringGhent UniversityGhent 9052Belgium SynBioC Research GroupDepartment of Green Chemistry and TechnologyFaculty of Bioscience EngineeringGhent UniversityGhent 9000Belgium 

出 版 物：《Engineering》 (工程（英文）)

年 卷 期：2021年第7卷第9期

页      面：1201-1211页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0703[理学-化学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors acknowledge funding from the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation(818607) Pieter P.Plehiers and Ruben Van de Vijver acknowledge financial support,respectively,from a doctoral(1150817N) a postdoctoral(3E013419)fellowship from the Research Foundation-Flanders(FWO) 

主　　题：Artificial intelligence Machine learning Reaction engineering Process engineering 

摘      要：Chemical engineers rely on models for design,research,and daily decision-making,often with potentially large financial and safety *** efforts a few decades ago to combine artificial intelligence and chemical engineering for modeling were unable to fulfill the *** the last five years,the increasing availability of data and computational resources has led to a resurgence in machine learning-based *** recent efforts have facilitated the roll-out of machine learning techniques in the research field by developing large databases,benchmarks,and representations for chemical applications and new machine learning *** learning has significant advantages over traditional modeling techniques,including flexibility,accuracy,and execution *** strengths also come with weaknesses,such as the lack of interpretability of these black-box *** greatest opportunities involve using machine learning in time-limited applications such as real-time optimization and planning that require high accuracy and that can build on models with a self-learning ability to recognize patterns,learn from data,and become more intelligent over *** greatest threat in artificial intelligence research today is inappropriate use because most chemical engineers have had limited training in computer science and data ***,machine learning will definitely become a trustworthy element in the modeling toolbox of chemical engineers.