Machine Learning in Chemical Engineering: A Perspective

被引：89

作者：

Schweidtmann, Artur M. ^{[1
,2
]}

Esche, Erik ^{[3
]}

Fischer, Asja ^{[4
]}

Kloft, Marius

Repke, Jens-Uwe ^{[3
]}

Sager, Sebastian ^{[5
]}

Mitsos, Alexander ^{[2
,6
,7
]}

机构：

[1] Delft Univ Technol, Dept Chem Engn, Maasweg 9, NL-2629 HZ Delft, Netherlands

[2] Rhein Westfal TH Aachen, Aachener Verfahrenstech, Forckenbeckstr 51, D-52074 Aachen, Germany

[3] Tech Univ Berlin, Fachgebiet Dynam & Betriebtech Anlagen, Str 17 Juni 135, D-10623 Berlin, Germany

[4] Ruhr Univ Bochum, Dept Math, Univ Str 150, D-44801 Bochum, Germany

[5] Tech Univ Kaiserslautern, Dept Comp Sci, Erwin Schrodinger Str 52, D-67663 Kaiserslautern, Germany

[6] JARA Ctr Simulat & Data Sci CSD, Aachen, Germany

[7] Forschungszentrum Julich, Energy & Climate Res IEK 10 Energy Syst Engn, Wilhelm Johnen Str, D-52428 Julich, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2021年 / 93卷 / 12期

关键词：

Deep learning; Hybrid modeling; Machine learning; Optimization; Reinforcement learning; SOFT-SENSOR; NEURAL-NETWORKS; HYBRID MODELS; EXPERT SYSTEM; OPTIMIZATION; REGRESSION; IDENTIFICATION; CHALLENGES; PREDICTION; ANALYTICS;

D O I：

10.1002/cite.202100083

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for the design of flexible plants, (bio-)catalysts, and functional materials. Recent breakthroughs in machine learning (ML) provide unique opportunities, but only joint interdisciplinary research between the ML and chemical engineering (CE) communities will unfold the full potential. We identify six challenges that will open new methods for CE and formulate new types of problems for ML: (1) optimal decision making, (2) introducing and enforcing physics in ML, (3) information and knowledge representation, (4) heterogeneity of data, (5) safety and trust in ML applications, and (6) creativity. Under the umbrella of these challenges, we discuss perspectives for future interdisciplinary research that will enable the transformation of CE.

引用

页码：2029 / 2039

页数：11

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