Simple, Efficient, and Universal Energy Decomposition Analysis Method Based on Dispersion-Corrected Density Functional Theory

密度泛函理论 化学 高斯分布 统计物理学 计算机科学 波函数 相互作用能 计算化学 量子力学 物理 分子
作者
Tian Lu,Qinxue Chen
出处
期刊:Journal of Physical Chemistry A [American Chemical Society]
卷期号:127 (33): 7023-7035 被引量:62
标识
DOI:10.1021/acs.jpca.3c04374
摘要

Energy decomposition analysis (EDA) is an important class of methods to explore the nature of interaction between fragments in a chemical system. It can decompose the interaction energy into different physical components to understand the factors that play key roles in the interaction. This work proposes an EDA strategy based on dispersion-corrected density functional theory (DFT), called sobEDA. This method is fairly easy to implement and very universal. It can be used to study weak interactions, chemical bond interactions, open-shell systems, and interactions between multiple fragments. The total time consumption of sobEDA is only about twice that of conventional DFT single-point calculation for the entire system. This work also proposes a variant of the sobEDA method named sobEDAw, which is designed specifically for decomposing weak interaction energies. Through a proper combination of DFT correlation energy and dispersion correction term, sobEDAw gives a ratio between dispersion energy and electrostatic energy that is highly consistent with the symmetry-adapted perturbation theory, which is quite popular and robust in studying weak interactions but expensive. We present a shell script sobEDA.sh to implement the methods proposed in this work based on the very popular Gaussian quantum chemistry program and Multiwfn wavefunction analysis code. Via the script, theoretical chemists can use the sobEDA and sobEDAw methods very conveniently in their study. Through a series of examples, the rationality of the new methods and their implementation are verified, and their great practical values in the study of various chemical systems are demonstrated.
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
yelide发布了新的文献求助10
刚刚
justsayit完成签到 ,获得积分10
刚刚
1751587229发布了新的文献求助10
刚刚
星雪完成签到 ,获得积分10
3秒前
6秒前
xx完成签到,获得积分10
7秒前
Singularity应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
我是老大应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
在水一方应助Aprilapple采纳,获得10
18秒前
完美世界应助xufei采纳,获得10
21秒前
24秒前
25秒前
充电宝应助lyy采纳,获得10
25秒前
机灵柚子应助zby采纳,获得20
26秒前
皮皮帅发布了新的文献求助10
27秒前
阿飞完成签到,获得积分10
28秒前
Liao发布了新的文献求助20
30秒前
wang发布了新的文献求助10
30秒前
31秒前
31秒前
33秒前
榴莲小胖完成签到,获得积分10
34秒前
李健应助皮皮帅采纳,获得10
35秒前
renxuda完成签到,获得积分10
38秒前
38秒前
38秒前
迪鸣完成签到,获得积分10
40秒前
Csy发布了新的文献求助10
41秒前
zby发布了新的文献求助10
42秒前
43秒前
活力冬日发布了新的文献求助20
46秒前
46秒前
啊培发布了新的文献求助10
49秒前
开朗初蓝完成签到,获得积分10
50秒前
美好蜻蜓发布了新的文献求助10
53秒前
HaiKing发布了新的文献求助10
53秒前
cc完成签到 ,获得积分10
55秒前
55秒前
高分求助中
LNG地下式貯槽指針(JGA Guideline-107)(LNG underground storage tank guidelines) 1000
Generalized Linear Mixed Models 第二版 1000
rhetoric, logic and argumentation: a guide to student writers 1000
Asymptotically optimum binary codes with correction for losses of one or two adjacent bits 800
Preparation and Characterization of Five Amino-Modified Hyper-Crosslinked Polymers and Performance Evaluation for Aged Transformer Oil Reclamation 700
Operative Techniques in Pediatric Orthopaedic Surgery 510
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2926065
求助须知:如何正确求助?哪些是违规求助? 2573684
关于积分的说明 6950600
捐赠科研通 2226412
什么是DOI,文献DOI怎么找? 1183217
版权声明 589129
科研通“疑难数据库(出版商)”最低求助积分说明 579089