Artificial intelligence: the silver bullet for sustainable materials development-Reference-Cited by-同舟云学术

Artificial intelligence: the silver bullet for sustainable materials development

Published:2020 Issue:21 Volume:22 Page:7521-7528
ISSN:1463-9262
Container-title:Green Chemistry
language:en
Short-container-title:Green Chem.

Author:

Hardian Rifan¹²³⁴⁵^ORCID,Liang Zhenwen⁶⁷³⁴⁵^ORCID,Zhang Xiangliang⁶⁷³⁴⁵^ORCID,Szekely Gyorgy¹²³⁴⁵^ORCID

Affiliation:

1. Advanced Membranes and Porous Materials Center

2. Physical Science and Engineering Division

3. King Abdullah University of Science and Technology (KAUST)

4. Thuwal 23955-6900

5. Saudi Arabia

6. Computer

7. Electrical and Mathematical Science and Engineering Division

Abstract

Artificial intelligence in combination with design of experiments for sustainable process development achieving high quality metal–organic frameworks (MOFs) with minimal environmental effect.

Funder

King Abdullah University of Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/GC/D0GC02956D

Reference34 articles.

1. G. Szekely and A.Livingston , Sustainable Nanoscale Engineering , Elsevier , 2020

2. How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics

3. Machine Learning Optimization of p-Type Transparent Conducting Films

4. Sb2Te3 and Its Superlattices: Optimization by Statistical Design

5. Virtual Issue on Machine-Learning Discoveries in Materials Science

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