Dependence of Spurious Charge-Transfer Excited States on Orbital Exchange in TDDFT: Large Molecules and Clusters

含时密度泛函理论 虚假关系 激发态 电荷(物理) 费用交换 分子 物理 原子物理学 分子物理学 化学 化学物理 计算机科学 离子 量子力学 机器学习
作者
Rudolph J Magyar,Sergei Tretiak
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:3 (3): 976-987 被引量:310
标识
DOI:10.1021/ct600282k
摘要

Time-dependent density functional theory (TDDFT) is a powerful tool allowing for accurate description of excited states in many nanoscale molecular systems; however, its application to large molecules may be plagued with difficulties that are not immediately obvious from previous experiences of applying TDDFT to small molecules. In TDDFT, the appearance of spurious charge-transfer states below the first optical excited state is shown to have significant effects on the predicted absorption and emission spectra of several donor−acceptor substituted molecules. The same problem affects the predictions of electronic spectra of molecular aggregates formed from weakly interacting chromophores. For selected benchmark cases, we show that today's popular density functionals, such as purely local (Local Density Approximation, LDA) and semilocal (Generalized Gradient Approximation, GGA) models, are qualitatively wrong. Nonlocal hybrid approximations including both semiempirical (B3LYP) and ab initio (PBE1PBE) containing a small fraction (20−25%) of Fock-like orbital exchange are also susceptible to such problems. Functionals that contain a larger fraction (50%) of orbital exchange like the early hybrid (BHandHLYP) are shown to exhibit far fewer spurious charge-transfer (CT) states at the expense of accuracy. Based on the trends observed in this study and our previous experience we formulate several practical approaches to overcome these difficulties providing a reliable description of electronic excitations in nanosystems.

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
yae发布了新的文献求助10
刚刚
壮观溪流发布了新的文献求助10
刚刚
Huang完成签到 ,获得积分10
2秒前
4秒前
木林森幻完成签到,获得积分10
7秒前
zyn发布了新的文献求助10
7秒前
Riverchase应助UGO采纳,获得10
8秒前
酷波er应助mxy126354采纳,获得10
9秒前
自然的绿兰完成签到,获得积分10
11秒前
yae完成签到,获得积分0
12秒前
12秒前
12秒前
16秒前
万能的小叮当完成签到,获得积分0
17秒前
盒子发布了新的文献求助30
18秒前
yp完成签到,获得积分10
18秒前
18秒前
星辰大海应助久9采纳,获得10
19秒前
20秒前
rockyshi发布了新的文献求助10
22秒前
24秒前
Future完成签到 ,获得积分10
24秒前
脸小呆呆发布了新的文献求助10
24秒前
25秒前
ccc应助含糊的烤鸡采纳,获得10
26秒前
利多卡因发布了新的文献求助30
27秒前
vv完成签到,获得积分10
27秒前
ji发布了新的文献求助10
28秒前
Fran07发布了新的文献求助10
29秒前
Anar完成签到,获得积分10
30秒前
Fran07完成签到,获得积分10
35秒前
解语花031发布了新的文献求助30
37秒前
发发发应助Adax采纳,获得10
38秒前
ZhouZhoukkk完成签到,获得积分10
41秒前
东风徐来完成签到 ,获得积分10
41秒前
46秒前
脑洞疼应助陈笙采纳,获得10
46秒前
楚寒完成签到 ,获得积分10
46秒前
47秒前
48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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 6354689
求助须知:如何正确求助?哪些是违规求助? 8169797
关于积分的说明 17197939
捐赠科研通 5410637
什么是DOI,文献DOI怎么找? 2864105
邀请新用户注册赠送积分活动 1841625
关于科研通互助平台的介绍 1690050