Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts-Reference-Cited by-同舟云学术

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Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts

Published:2023-07-18 Issue:29 Volume:127 Page:14211-14221
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Pihlajamäki Antti¹,Malola Sami¹,Kärkkäinen Tommi²,Häkkinen Hannu¹³^ORCID

Affiliation:

1. Department of Physics, Nanoscience Center, University of Jyväskylä, FI-40014 Jyväskylä, Finland

2. Faculty of Information Technology, University of Jyväskylä, FI-40014 Jyväskylä, Finland

3. Department of Chemistry, Nanoscience Center, University of Jyväskylä, FI-40014 Jyväskylä, Finland

Funder

Academy of Finland

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c02539

Reference84 articles.

1. Heterostructures for Electrochemical Hydrogen Evolution Reaction: A Review

2. Recent progress made in the mechanism comprehension and design of electrocatalysts for alkaline water splitting

3. Theoretical Advances in Understanding and Designing the Active Sites for Hydrogen Evolution Reaction

4. Machine Learning for Catalysis Informatics: Recent Applications and Prospects

5. Machine Learning for Atomic Simulation and Activity Prediction in Heterogeneous Catalysis: Current Status and Future

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5. Bonding and Electronic Interactions of Hydrogen with Gold Superatoms;The Journal of Physical Chemistry C;2023-12-19

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