High-entropy perovskites materials for next-generation energy applications

单身汉 燃料电池 工程物理 航空航天 重大挑战 科学与工程 工程管理 工程类 工程伦理学 化学工程 计算机科学 政治学 操作系统 航空航天工程 法学
作者
Yuhao Wang,Matthew J. Robson,Alessandro Manzotti,Francesco Ciucci
出处
期刊:Joule [Elsevier]
卷期号:7 (5): 848-854 被引量:5
标识
DOI:10.1016/j.joule.2023.03.020
摘要

Yuhao Wang obtained his Master’s degree in Chemical and Biomolecular Engineering from the Hong Kong University of Science and Technology in 2019. He is currently a PhD candidate in the Department of Mechanical and Aerospace Engineering at the Hong Kong University of Science and Technology under the supervision of Prof. Francesco Ciucci. His current research focuses on solid oxide cells, protonic ceramic cells, electrocatalysis, and energy storage materials. Matthew James Robson obtained a Master of Engineering in Materials Science from the University of Oxford, UK in 2017. He is currently a PhD candidate in the Department of Mechanical Engineering at the Hong Kong University of Science and Technology in Prof. Ciucci’s group. His research focuses on the application of machine learning methods to accelerate the optimization of batteries, fuel cells, and electrolyzers for real-world applications. Alessandro Manzotti obtained his Bachelor of Science in Energy Engineering in 2018 and his Master of Science in Energy and Nuclear Engineering in 2020 at Politecnico di Torino, Italy. Currently, he is a Master of Philosophy student in Mechanical Engineering at the Hong Kong University of Science and Technology under the guidance of Prof. Ciucci. His research focuses on techno-economic analysis of energy systems and the development of hydrogen-related systems such as electrolyzers and protonic ceramic fuel cells. Francesco Ciucci is an Associate Professor at the Hong Kong University of Science and Technology. Prof. Ciucci’s current research centers on the modeling and development of new functional materials for energy technologies, including solid oxide fuel cells, electrolyzers, and solid-state batteries. Prof. Ciucci obtained his PhD from the California Institute of Technology, USA where he was a Rotary Ambassadorial Scholar. He is also a fellow of the Royal Society of Chemistry. Yuhao Wang obtained his Master’s degree in Chemical and Biomolecular Engineering from the Hong Kong University of Science and Technology in 2019. He is currently a PhD candidate in the Department of Mechanical and Aerospace Engineering at the Hong Kong University of Science and Technology under the supervision of Prof. Francesco Ciucci. His current research focuses on solid oxide cells, protonic ceramic cells, electrocatalysis, and energy storage materials. Matthew James Robson obtained a Master of Engineering in Materials Science from the University of Oxford, UK in 2017. He is currently a PhD candidate in the Department of Mechanical Engineering at the Hong Kong University of Science and Technology in Prof. Ciucci’s group. His research focuses on the application of machine learning methods to accelerate the optimization of batteries, fuel cells, and electrolyzers for real-world applications. Alessandro Manzotti obtained his Bachelor of Science in Energy Engineering in 2018 and his Master of Science in Energy and Nuclear Engineering in 2020 at Politecnico di Torino, Italy. Currently, he is a Master of Philosophy student in Mechanical Engineering at the Hong Kong University of Science and Technology under the guidance of Prof. Ciucci. His research focuses on techno-economic analysis of energy systems and the development of hydrogen-related systems such as electrolyzers and protonic ceramic fuel cells. Francesco Ciucci is an Associate Professor at the Hong Kong University of Science and Technology. Prof. Ciucci’s current research centers on the modeling and development of new functional materials for energy technologies, including solid oxide fuel cells, electrolyzers, and solid-state batteries. Prof. Ciucci obtained his PhD from the California Institute of Technology, USA where he was a Rotary Ambassadorial Scholar. He is also a fellow of the Royal Society of Chemistry.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
6秒前
7秒前
9秒前
CZY发布了新的文献求助10
11秒前
东方半仙完成签到 ,获得积分10
15秒前
葛力发布了新的文献求助10
15秒前
大熊完成签到,获得积分20
15秒前
大熊发布了新的文献求助10
18秒前
19秒前
积极冷霜完成签到,获得积分10
20秒前
23秒前
koitoyu完成签到,获得积分10
25秒前
zjx发布了新的文献求助10
25秒前
fei190813完成签到,获得积分20
26秒前
Owen应助大熊采纳,获得10
29秒前
卡皮巴拉发布了新的文献求助10
30秒前
聪慧水池完成签到,获得积分10
33秒前
寻道图强应助ss_hHe采纳,获得20
35秒前
卡恩完成签到 ,获得积分10
35秒前
37秒前
柴智浩完成签到 ,获得积分10
39秒前
40秒前
MMP完成签到,获得积分10
43秒前
负责蜜蜂发布了新的文献求助10
44秒前
46秒前
48秒前
耶格尔完成签到 ,获得积分10
51秒前
负责蜜蜂完成签到,获得积分10
52秒前
53秒前
56秒前
小蘑菇应助东油葛大蛋采纳,获得10
57秒前
小张小张吃饭用缸完成签到,获得积分10
57秒前
九月发布了新的文献求助10
57秒前
57秒前
forgodssake发布了新的文献求助10
1分钟前
研友_VZG7GZ应助葛力采纳,获得10
1分钟前
wlll发布了新的文献求助10
1分钟前
1分钟前
1分钟前
Chan发布了新的文献求助10
1分钟前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547648
求助须知:如何正确求助?哪些是违规求助? 2176303
关于积分的说明 5603565
捐赠科研通 1897071
什么是DOI,文献DOI怎么找? 946582
版权声明 565383
科研通“疑难数据库(出版商)”最低求助积分说明 503828