Formation enthalpies by mixing GGA and GGA + U calculations

热力学 混合(物理) 三元运算 工作(物理) 标准生成焓 统计物理学 相图 化学 相(物质) 材料科学 物理 量子力学 计算机科学 程序设计语言
作者
Anubhav Jain,Geoffroy Hautier,Shyue Ping Ong,Charles Moore,Christopher C. Fischer,Kristin A. Persson,Gerbrand Ceder
出处
期刊:Massachusetts Institute of Technology - DSpace@MIT [Massachusetts Institute of Technology]
被引量:48
摘要

Standard approximations to the density functional theory exchange-correlation functional have been extraordinary successful, but calculating formation enthalpies of reactions involving compounds with both localized and delocalized electronic states remains challenging. In this work we examine the shortcomings of the generalized gradient approximation (GGA) and GGA+U in accurately characterizing such difficult reactions. We then outline a methodology that mixes GGA and GGA+U total energies (using known binary formation data for calibration) to more accurately predict formation enthalpies. We demonstrate that for a test set of 49 ternary oxides, our methodology can reduce the mean absolute relative error in calculated formation enthalpies from approximately 7.7–21% in GGA+U to under 2%. As another example we show that neither GGA nor GGA+U alone accurately reproduces the Fe-P-O phase diagram; however, our mixed methodology successfully predicts all known phases as stable by naturally stitching together GGA and GGA+U results. As a final example we demonstrate how our technique can be applied to the calculation of the Li-conversion voltage of LiFeF[subscript 3]. Our results indicate that mixing energies of several functionals represents one avenue to improve the accuracy of total energy computations without affecting the cost of calculation.
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
JamesPei应助cc采纳,获得10
刚刚
刚刚
FashionBoy应助nicholaswk采纳,获得10
刚刚
lucky应助奔跑吧采纳,获得20
刚刚
Ann94完成签到,获得积分10
刚刚
刚刚
刚刚
刚刚
CodeCraft应助Hugo采纳,获得10
1秒前
JensenYeung发布了新的文献求助10
2秒前
嗯嗯发布了新的文献求助10
2秒前
3秒前
hh发布了新的文献求助10
3秒前
3秒前
王火火完成签到 ,获得积分10
4秒前
4秒前
4秒前
LEONa完成签到,获得积分10
5秒前
5秒前
5秒前
名小猫发布了新的文献求助10
6秒前
fogwei完成签到,获得积分10
6秒前
7秒前
流氓兔完成签到,获得积分10
8秒前
小葵完成签到,获得积分10
8秒前
8秒前
我是老大应助Hugo采纳,获得10
8秒前
Nole应助andy采纳,获得10
9秒前
10秒前
FSX639163发布了新的文献求助10
10秒前
yuli完成签到 ,获得积分10
11秒前
11秒前
啊娴子发布了新的文献求助10
11秒前
lucky应助温小满采纳,获得10
11秒前
fogwei发布了新的文献求助10
11秒前
脑洞疼应助surain采纳,获得10
11秒前
19996完成签到,获得积分10
11秒前
12秒前
12秒前
星辰大海应助Ethan采纳,获得10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7516311
求助须知:如何正确求助?哪些是违规求助? 9104298
关于积分的说明 19435055
捐赠科研通 7121295
什么是DOI,文献DOI怎么找? 3253770
关于科研通互助平台的介绍 2422515
邀请新用户注册赠送积分活动 2240610