Application of Artificial Neural Networks for Catalysis: A Review
Machine learning has proven to be a powerful technique during the past decades. Artificial neural network (ANN), as one of the most popular machine learning algorithms, has been widely applied to various areas. However, their applications for catalysis were not well-studied until recent decades. In...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-10-01
|
| Series: | Catalysts |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4344/7/10/306 |
| _version_ | 1811316286399971328 |
|---|---|
| author | Hao Li Zhien Zhang Zhijian Liu |
| author_facet | Hao Li Zhien Zhang Zhijian Liu |
| author_sort | Hao Li |
| collection | DOAJ |
| description | Machine learning has proven to be a powerful technique during the past decades. Artificial neural network (ANN), as one of the most popular machine learning algorithms, has been widely applied to various areas. However, their applications for catalysis were not well-studied until recent decades. In this review, we aim to summarize the applications of ANNs for catalysis research reported in the literature. We show how this powerful technique helps people address the highly complicated problems and accelerate the progress of the catalysis community. From the perspectives of both experiment and theory, this review shows how ANNs can be effectively applied for catalysis prediction, the design of new catalysts, and the understanding of catalytic structures. |
| first_indexed | 2024-04-13T11:46:19Z |
| format | Article |
| id | doaj.art-9e04f32384e6405da225e485fccaca99 |
| institution | Directory Open Access Journal |
| issn | 2073-4344 |
| language | English |
| last_indexed | 2024-04-13T11:46:19Z |
| publishDate | 2017-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Catalysts |
| spelling | doaj.art-9e04f32384e6405da225e485fccaca992022-12-22T02:48:10ZengMDPI AGCatalysts2073-43442017-10-0171030610.3390/catal7100306catal7100306Application of Artificial Neural Networks for Catalysis: A ReviewHao Li0Zhien Zhang1Zhijian Liu2College of Chemistry, Sichuan University, Chengdu 610064, ChinaSchool of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, ChinaDepartment of Power Engineering, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, ChinaMachine learning has proven to be a powerful technique during the past decades. Artificial neural network (ANN), as one of the most popular machine learning algorithms, has been widely applied to various areas. However, their applications for catalysis were not well-studied until recent decades. In this review, we aim to summarize the applications of ANNs for catalysis research reported in the literature. We show how this powerful technique helps people address the highly complicated problems and accelerate the progress of the catalysis community. From the perspectives of both experiment and theory, this review shows how ANNs can be effectively applied for catalysis prediction, the design of new catalysts, and the understanding of catalytic structures.https://www.mdpi.com/2073-4344/7/10/306machine learningartificial neural network (ANN)catalystcatalysisexperimenttheory |
| spellingShingle | Hao Li Zhien Zhang Zhijian Liu Application of Artificial Neural Networks for Catalysis: A Review Catalysts machine learning artificial neural network (ANN) catalyst catalysis experiment theory |
| title | Application of Artificial Neural Networks for Catalysis: A Review |
| title_full | Application of Artificial Neural Networks for Catalysis: A Review |
| title_fullStr | Application of Artificial Neural Networks for Catalysis: A Review |
| title_full_unstemmed | Application of Artificial Neural Networks for Catalysis: A Review |
| title_short | Application of Artificial Neural Networks for Catalysis: A Review |
| title_sort | application of artificial neural networks for catalysis a review |
| topic | machine learning artificial neural network (ANN) catalyst catalysis experiment theory |
| url | https://www.mdpi.com/2073-4344/7/10/306 |
| work_keys_str_mv | AT haoli applicationofartificialneuralnetworksforcatalysisareview AT zhienzhang applicationofartificialneuralnetworksforcatalysisareview AT zhijianliu applicationofartificialneuralnetworksforcatalysisareview |