Exciton Binding Energy in Molecular Triads

激子 有机太阳能电池 三合会(社会学) 激发态 接受者 星团(航天器) 结合能 分子物理学 化学 化学物理 材料科学 物理 原子物理学 凝聚态物理 聚合物 心理学 有机化学 计算机科学 精神分析 程序设计语言
作者
Stefan Kraner,Giacomo Prampolini,Gianaurelio Cuniberti
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:121 (32): 17088-17095 被引量:95
标识
DOI:10.1021/acs.jpcc.7b03923
摘要

The power conversion efficiency of state of the art organic photovoltaics is predicted to be limited at about 15%. This limit can be increased by an improved charge carrier mobility and by a lower exciton binding energy. In order to achieve this, we suggest a concept based on organic triads, comprising a donor, spacer, and acceptor submolecule. On the basis of time dependent density functional theory (TD-DFT) simulations we investigate the lowest excited state of the well-known Carotenoid-Porphyrin-C60 triad and obtain a calculated exciton binding energy of 25 meV, justifying the experimentally observed and reported separation of photo generated charges. Further, we introduce a new triad with the ability to not only improve and control the separation process, but also to improve the charge carrier transport properties. We used molecular dynamics (MD) simulations to optimize the geometry of a cluster of 25 triads. From this organic cluster, we picked one triad with its four neighbors, again calculated the exciton binding energy of this structure and obtained 39 meV. We conclude that the exciton binding energy is stable for a variety of different basis set and functionals, and does not significantly change if one or a cluster of five triads is simulated. This stable behavior occurs, since changes in the wave functions do not significantly influence the exciton binding energy, as long the distance between the positive and negative charge remains the same. For photovoltaic applications and based on organic materials with a dielectric constant of about four, we suggest the use of spacer molecules larger than two nanometers.

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
PUHAHA应助科研通管家采纳,获得10
刚刚
刚刚
情怀应助科研通管家采纳,获得10
1秒前
田様应助科研通管家采纳,获得10
1秒前
烟花应助科研通管家采纳,获得10
1秒前
1秒前
Mic应助科研通管家采纳,获得30
1秒前
1秒前
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
丘比特应助落后的英姑采纳,获得10
2秒前
今后应助结实蜡烛采纳,获得10
2秒前
Akim应助秀丽的紫文采纳,获得10
2秒前
makamaka发布了新的文献求助10
2秒前
高高冰旋完成签到,获得积分10
2秒前
2秒前
2秒前
steventj完成签到,获得积分10
3秒前
111关闭了111文献求助
3秒前
3秒前
qqwwe发布了新的文献求助10
4秒前
yyy完成签到,获得积分10
4秒前
土豆发布了新的文献求助10
4秒前
小金完成签到 ,获得积分10
5秒前
高高冰旋发布了新的文献求助10
5秒前
领导范儿应助Vicky采纳,获得30
6秒前
6秒前
年鱼精发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
rodger完成签到,获得积分10
11秒前
ee应助qwert118采纳,获得10
11秒前
hj关闭了hj文献求助
12秒前
ding应助TranYan采纳,获得10
13秒前
因心发布了新的文献求助10
13秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
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 6370318
求助须知:如何正确求助?哪些是违规求助? 8184259
关于积分的说明 17266518
捐赠科研通 5424904
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826