Efficient force calculations in strongly correlated materials within DFT+G using Portobello

IF 3.4 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Corey Peters , Ran Adler , Garry Goldstein , Yong-Xin Yao , Nicola Lanata , Gabriel Kotliar
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引用次数: 0

Abstract

We derive a simplified formulation for computing the forces in density functional theory + Gutzwiller (DFT+G), implement them in the open-source quantum-embedding code Portobello, and validate by comparing numerical derivatives of the free energy against the analytical force derivatives in FeSe and NiO. This implementation is also used to predict the chalcogen height in FeSe and FeTe. In contrast with DFT in the local density approximation (LDA), which greatly overestimates chalcogen heights, DFT+G replicates the experimental chalcogen height using significantly fewer computational resources than DFT+DMFT requires.

New version program summary

Program Title: Portobello
CPC Library link to program files: https://doi.org/10.17632/5p4nggbktd.2
Developer's repository link: https://gitlab.com/ranadler/portobello-public
Licensing provisions: GPLv3
Programming language: Fortran, C++, Python
Journal reference of previous version: Computer Physics Communications, Volume 294, 2024, 108907
Does the new version supersede the previous version: Yes
Reasons for the new version: Implementation and release of DFT and DFT+G forces
Summary of revisions: Upgraded to a new version of the underlying DFT (and GW) code, FlapwMBPT, which includes DFT forces and an APW+lo+HDLO+HELO basis set. Implemented DFT+G forces and the extensions necessary to compute them within the Portobello framework. Implemented more sophisticated minimization techniques for the DFT problem.
Nature of problem: Strongly correlated material design requires a fast and flexible method for computing forces and relaxing structures. DFT+G captures strong correlations without excessive computational costs, but forces within this theory had not been previously evaluated.
Solution method: Reformulate the forces to efficiently use existing DFT force implementations in the evaluation of the DFT+G force terms.
使用Portobello进行DFT+G内强相关材料的有效力计算
我们推导了密度泛函理论+ Gutzwiller (DFT+G)中计算力的简化公式,在开源的量子嵌入代码Portobello中实现了它们,并通过比较FeSe和NiO中自由能的数值导数与解析力导数进行了验证。该实现也可用于预测FeSe和FeTe中的硫化物高度。与局部密度近似(LDA)中的DFT相比,DFT+G使用比DFT+DMFT更少的计算资源来复制实验中的碳高度。新版本程序摘要程序标题:portbellocpc库链接到程序文件:https://doi.org/10.17632/5p4nggbktd.2Developer's存储库链接:https://gitlab.com/ranadler/portobello-publicLicensing条款:gplv3编程语言:Fortran, c++, python前版本的期刊参考:计算机物理通信,卷294,2024,108907新版本是否取代以前的版本:是的新版本的原因:DFT和DFT+G力的实现和发布修订摘要:升级到底层DFT(和GW)代码FlapwMBPT的新版本,其中包括DFT力和APW+lo+HDLO+HELO基础集。实现DFT+G力以及在Portobello框架内计算它们所需的扩展。为DFT问题实现了更复杂的最小化技术。问题性质:强相关材料设计需要一种快速灵活的方法来计算力和松弛结构。DFT+G在没有过多计算成本的情况下捕获了强相关性,但这一理论中的力量以前没有被评估过。求解方法:在DFT+G力项的评估中,重新制定力以有效地利用现有的DFT力实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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