Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO<sub>2</sub> on CuPt/TiO<sub>2</sub>-Reference-Cited by-同舟云学术

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Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO₂ on CuPt/TiO₂

Published:2024-08-15 Issue:34 Volume:128 Page:14247-14258
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Sumaria Vaidish¹²,Rawal Takat B.¹^ORCID,Li Young Feng¹,Sommer David¹,Vikoren Jake¹,Bondi Robert J.¹,Rupp Matthias¹³,Prasad Amrit¹,Prasad Deeptanshu¹

Affiliation:

1. Quantum Generative Materials (GenMat), 411 W. Monroe St, Austin, Texas 78704, United States

2. Caminosoft Technologies Inc., 1197 E Los Angeles Ave St C305, Simi Valley, California 93065, United States

3. Luxembourg Institute of Science and Technology (LIST), 5 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.4c02275

Reference75 articles.

1. Review on: Titanium Dioxide Applications

2. Application of Nanostructured TiO ₂ in UV Photodetectors: A Review

3. Evolution between CRS and NRS behaviors in MnO2@TiO2 nanocomposite based memristor for multi-factors-regulated memory applications

4. High quantum efficiency of hydrogen production from methanol aqueous solution with PtCu–TiO2 photocatalysts

5. Tip-activated single-atom catalysis: CO oxidation on Au adatom on oxidized rutile TiO ₂ surface

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