Optimization of g-C3N4 synthesis parameters based on machine learning to predict the efficiency of photocatalytic hydrogen production-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Optimization of g-C3N4 synthesis parameters based on machine learning to predict the efficiency of photocatalytic hydrogen production

Published:2024-09 Issue: Volume:81 Page:193-203
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Yurova Veronika Yu.,Potapenko Kseniya O.^ORCID,Aliev Timur A.,Kozlova Ekaterina A.^ORCID,Skorb Ekaterina V.^ORCID

Funder

Russian Science Foundation

Publisher

Elsevier BV

Reference69 articles.

1. Total-factor energy efficiency of ten major global energy-consuming countries;Wang;J Environ Sci,2024

2. Real-time carbon footprint assessment based on energy consumption: a comprehensive review for future research prospects;Fasogbon;Renew Sustain Energy Rev,2024

3. The green chemistry paradigm in modern organic synthesis;Zlotin;Russ Chem Rev,2023

4. Green hydrogen: a pathway to a sustainable energy future;Hassan;Int J Hydrogen Energy,2024

5. Recent advancement and assessment of green hydrogen production technologies;Zainal;Renew Sustain Energy Rev,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Superalkali NLi4 anchored on g-C3N4 sheet for reversible hydrogen storage;International Journal of Hydrogen Energy;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP