Identification of the Selective Sites for Electrochemical Reduction of CO to C2+ Products on Copper Nanoparticles by Combining Reactive Force Fields, Density Functional Theory, and Machine Learning-Reference-Cited by-同舟云学术

Identification of the Selective Sites for Electrochemical Reduction of CO to C2+ Products on Copper Nanoparticles by Combining Reactive Force Fields, Density Functional Theory, and Machine Learning

Published:2018-11-08 Issue:12 Volume:3 Page:2983-2988
ISSN:2380-8195
Container-title:ACS Energy Letters
language:en
Short-container-title:ACS Energy Lett.

Author:

Huang Yufeng¹^ORCID,Chen Yalu¹,Cheng Tao¹^ORCID,Wang Lin-Wang²,Goddard William A.¹^ORCID

Affiliation:

1. Materials Simulation Center and Joint Center for Artificial Photosynthesis, California Institute of Technology, Pasadena, California 91125, United States

2. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States

Funder

Office of Science

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Chemistry (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsenergylett.8b01933

Reference25 articles.

1. Progress and Perspective of Electrocatalytic CO2Reduction for Renewable Carbonaceous Fuels and Chemicals

2. Progress in catalyst exploration for heterogeneous CO2reduction and utilization: a critical review

3. The future of solar fuels: when could they become competitive?

4. Energy and Climate Impacts of Producing Synthetic Hydrocarbon Fuels from CO2

5. Sustainable Conversion of Carbon Dioxide: An Integrated Review of Catalysis and Life Cycle Assessment

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