Machine learning driven advancements in catalysis for predicting hydrogen evolution reaction activity-Reference-Cited by-同舟云学术

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Machine learning driven advancements in catalysis for predicting hydrogen evolution reaction activity

Published:2024-10 Issue: Volume:326 Page:129805
ISSN:0254-0584
Container-title:Materials Chemistry and Physics
language:en
Short-container-title:Materials Chemistry and Physics

Author:

Sinha Priyanka,Jyothirmai M.V.^ORCID,Abraham B. Moses,Singh Jayant K.^ORCID

Publisher

Elsevier BV

Reference56 articles.

1. Nanoscale engineering of catalytic materials for sustainable technologies;Mitchell;Nat. Nanotechnol.,2020

2. Emergency deployment of direct air capture as a response to the climate crisis;Hanna;Nature Commun.,2021

3. Electrocatalysts for hydrogen evolution in alkaline electrolytes: Mechanisms, challenges, and prospective solutions;Mahmood;Adv. Sci.,2018

4. Emerging photoreforming process to hydrogen production: A future energy;Shelake;Adv. Funct. Mater.,2024

5. Charge-transfer modulation on CdS artificial leaf for efficient hydrogen generation;Chanda;ACS Appl. Nano Mater.,2024

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