Machine Learning for Accelerated Discovery of Solar Photocatalysts-Reference-Cited by-同舟云学术

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Machine Learning for Accelerated Discovery of Solar Photocatalysts

Published:2019-11-07 Issue:12 Volume:9 Page:11774-11787
ISSN:2155-5435
Container-title:ACS Catalysis
language:en
Short-container-title:ACS Catal.

Author:

Masood Hassan¹^ORCID,Toe Cui Ying¹,Teoh Wey Yang¹^ORCID,Sethu Vidhyasaharan²,Amal Rose¹^ORCID

Affiliation:

1. Particles and Catalysis Research Group, School of Chemical Engineering, The University of New South Wales, Sydney, New South Wales 2052, Australia

2. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales 2052, Australia

Funder

Australian Research Council

Publisher

American Chemical Society (ACS)

Subject

Catalysis,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acscatal.9b02531

Reference131 articles.

1. Heterogeneous photocatalyst materials for water splitting

2. Photocatalytic Conversion of CO2into Renewable Hydrocarbon Fuels: State-of-the-Art Accomplishment, Challenges, and Prospects

3. Photon-Driven Nitrogen Fixation: Current Progress, Thermodynamic Considerations, and Future Outlook

4. Solar Synthesis: Prospects in Visible Light Photocatalysis

5. Visible light induced photocatalytic degradation of organic pollutants

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