Norm-Conserving Pseudopotentials and Basis Sets To Explore Lanthanide Chemistry in Complex Environments

镧系元素 基础(线性代数) 规范(哲学) 计算机科学 理论物理学 化学 化学物理 数据科学 物理 统计物理学 认识论 数学 离子 量子力学 几何学 哲学
作者
Jun‐Bo Lu,David C. Cantu,Manh‐Thuong Nguyen,Jun Li,Vassiliki‐Alexandra Glezakou,Roger Rousseau
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:15 (11): 5987-5997 被引量:82
标识
DOI:10.1021/acs.jctc.9b00553
摘要

A complete set of pseudopotentials and accompanying basis sets for all lanthanide elements are presented based on the relativistic, norm-conserving, separable, dual-space Gaussian-type pseudopotential protocol of Goedecker, Teter, and Hutter (GTH) within the generalized gradient approximation (GGA) and the exchange–correlation functional of Perdew, Burke, and Ernzerhof (PBE). The corresponding basis sets have been molecularly optimized (MOLOPT) using a contracted form with a single set of Gaussian exponents for the s, p, and d states. The f states are uncontracted explicitly with Gaussian exponents. Moreover, the Hubbard U values for each lanthanide element, for DFT+U calculations, are also tabulated, allowing for the proper treatment of the strong on-site Coulomb interactions of localized 4f electrons. The accuracy and reliability of our GTH pseudopotentials and companion basis sets optimized for lanthanides is illustrated by a series of test calculations on lanthanide-centered molecules, and solid-state systems, with the most common oxidation states. We anticipate that these pseudopotentials and basis sets will enable larger-scale density functional theory calculations and ab initio molecular dynamics simulations of lanthanide molecules in either gas or condensed phases, as well as of solid state lanthanide-containing materials, allowing further exploration of the chemical and physical properties of lanthanide 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
英姑应助科研通管家采纳,获得10
刚刚
刚刚
李爱国应助科研通管家采纳,获得10
1秒前
研友_VZG7GZ应助科研通管家采纳,获得10
1秒前
青青发布了新的文献求助50
1秒前
烟花应助科研通管家采纳,获得10
1秒前
1秒前
风清扬发布了新的文献求助20
2秒前
脑洞疼应助潇洒念波采纳,获得10
2秒前
科研通AI6.4应助贪玩若烟采纳,获得20
2秒前
2秒前
11发布了新的文献求助10
2秒前
传奇3应助0Miles采纳,获得10
3秒前
欢喜的丹寒完成签到,获得积分10
3秒前
Akim应助qtzkk采纳,获得10
4秒前
4秒前
5秒前
Guko发布了新的文献求助10
5秒前
chengbizhen完成签到,获得积分10
5秒前
周一发布了新的文献求助10
6秒前
寒冷念文发布了新的文献求助10
6秒前
7秒前
7秒前
脑洞疼应助何科萱采纳,获得10
7秒前
7秒前
Guko发布了新的文献求助10
7秒前
XM发布了新的文献求助10
8秒前
9秒前
Noob_saibot完成签到,获得积分10
9秒前
李健的小迷弟应助z11采纳,获得10
10秒前
molihuakai应助科研新星采纳,获得10
10秒前
hjy完成签到,获得积分10
10秒前
10秒前
梓曦应助Matrix采纳,获得10
11秒前
11秒前
11秒前
icebaby发布了新的文献求助10
12秒前
脑洞疼应助鹿鹿采纳,获得10
12秒前
11完成签到,获得积分10
12秒前
科研通AI6.3应助FF采纳,获得10
13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
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
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 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 6364796
求助须知:如何正确求助?哪些是违规求助? 8178835
关于积分的说明 17239140
捐赠科研通 5419882
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692342