Density‐Functional Theory Studies on Photocatalysis and Photoelectrocatalysis: Challenges and Opportunities

光催化 密度泛函理论 生化工程 计算机科学 环境友好型 透视图(图形) 纳米技术 工艺工程 材料科学 化学 计算化学 工程类 人工智能 生物化学 催化作用 生物 生态学
作者
Chun‐Han Lin,Jyoti Rohilla,Hsuan‐Hung Kuo,Chun‐Yi Chen,Tso‐Fu Mark Chang,Masato Sone,Pravin P. Ingole,Yu‐Chieh Lo,Yung‐Jung Hsu
出处
期刊:Solar RRL [Wiley]
卷期号:8 (10) 被引量:40
标识
DOI:10.1002/solr.202300948
摘要

Density‐functional theory (DFT) is pivotal in the advancement of photocatalysis and photoelectrocatalysis. Its capability to explore electronic structures of materials contributes significantly to clarifying the mechanisms of photocatalytic (PC) and photoelectrocatalytic (PEC) processes. DFT calculations enable a deeper understanding of how these processes work at a molecular level, which is essential for designing versatile photocatalysts and photoelectrodes and optimizing reaction pathways. In this perspective, key PC and PEC applications, such as H 2 production, CO 2 reduction, dye degradation, and N 2 reduction, where DFT is instrumental in optimizing materials designs and reaction pathways, are highlighted. Exploration on the synergy between experimental research and DFT calculations is highlighted, which is crucial for the development of efficient and environmentally friendly energy solutions. The discussion further extends to challenges and future directions, emphasizing the need for incorporating factors, including discrepancy in scale, light illumination, electrolyte presence, and applied bias, into DFT calculations, to achieve a more comprehensive understanding of PC and PEC systems. In this perspective, it is aimed to provide a holistic view of the current state and potential advancements in photocatalyst and photoelectrode modeling, thereby guiding future research toward more effective and sustainable energy and chemical production processes in PC and PEC systems.
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
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
1秒前
今后应助叫我小钰宝采纳,获得50
1秒前
kangjoo完成签到,获得积分10
2秒前
eleTurtle关注了科研通微信公众号
2秒前
2秒前
搜集达人应助123采纳,获得10
2秒前
4秒前
畔畔发布了新的文献求助500
4秒前
5秒前
5秒前
ww完成签到,获得积分10
5秒前
天青色等烟雨完成签到,获得积分10
7秒前
老实天奇完成签到,获得积分10
7秒前
橙子快跑发布了新的文献求助10
8秒前
eleTurtle发布了新的文献求助10
9秒前
10秒前
科研小狗完成签到,获得积分10
14秒前
烟花应助qw采纳,获得10
15秒前
11111发布了新的文献求助10
16秒前
研友_VZG7GZ应助YAYA采纳,获得10
16秒前
16秒前
活泼访文完成签到 ,获得积分10
17秒前
18秒前
18秒前
19秒前
传奇3应助快乐一江采纳,获得10
20秒前
20秒前
Jasper应助爱笑白晴采纳,获得10
21秒前
lyf发布了新的文献求助20
23秒前
24秒前
哈士皮发布了新的文献求助10
25秒前
27秒前
27秒前
夏荷雪石完成签到,获得积分10
28秒前
悲凉的老虎完成签到,获得积分10
28秒前
32秒前
彭于晏应助yymm采纳,获得10
33秒前
柴志恒发布了新的文献求助10
37秒前
39秒前
chunfengfusu发布了新的文献求助10
42秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6699341
求助须知:如何正确求助?哪些是违规求助? 8441493
关于积分的说明 18033532
捐赠科研通 5933431
什么是DOI,文献DOI怎么找? 2988289
邀请新用户注册赠送积分活动 1964111
关于科研通互助平台的介绍 1906660