Can Artificial Intelligence and Machine Learning Be Used to Accelerate Sustainable Chemistry and Engineering?-Reference-Cited by-同舟云学术

Can Artificial Intelligence and Machine Learning Be Used to Accelerate Sustainable Chemistry and Engineering?

Published:2021-05-10 Issue:18 Volume:9 Page:6126-6129
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Leonard Kevin C.¹^ORCID,Hasan Faruque²^ORCID,Sneddon Helen F.³,You Fengqi⁴^ORCID

Affiliation:

1. Center for Environmentally Beneficial Catalysis Department of Chemical & Petroleum Engineering, The University of Kansas, Lawrence, Kansas 66045, United States

2. Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States

3. Medicinal Chemistry, GSK Medicines Research Centre, Stevenage, Hertfordshire SG1 2NY, United Kingdom

4. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14850, United States

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.1c02741

Reference18 articles.

1. The promise of artificial intelligence in chemical engineering: Is it here, finally?

2. Machine learning in catalysis

3. Machine learning for heterogeneous catalyst design and discovery

4. Extracting Knowledge from Data through Catalysis Informatics

5. Burkov, A. The Hundred-Page Machine Learning Book; Andriy Burkov: Canada, 2019; Vol. 1, pp 3–5.

Cited by 22 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. Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development;Journal of Energy Chemistry;2024-12

2. Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms;Journal of the Taiwan Institute of Chemical Engineers;2024-11

3. Responsible use of Generative AI in chemical engineering;Digital Chemical Engineering;2024-09

4. The current research status and prospects of AI in chemical science;Progress in Natural Science: Materials International;2024-08

5. Evaluating the thermal stability of chemicals and systems: A review;The Canadian Journal of Chemical Engineering;2024-07-22