Corey Peters , Ran Adler , Garry Goldstein , Yong-Xin Yao , Nicola Lanata , Gabriel Kotliar
{"title":"使用Portobello进行DFT+G内强相关材料的有效力计算","authors":"Corey Peters , Ran Adler , Garry Goldstein , Yong-Xin Yao , Nicola Lanata , Gabriel Kotliar","doi":"10.1016/j.cpc.2025.109784","DOIUrl":null,"url":null,"abstract":"<div><div>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 <em>Portobello</em>, 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.</div></div><div><h3>New version program summary</h3><div><em>Program Title:</em> Portobello</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/5p4nggbktd.2</span><svg><path></path></svg></span></div><div><em>Developer's repository link:</em> <span><span>https://gitlab.com/ranadler/portobello-public</span><svg><path></path></svg></span></div><div><em>Licensing provisions:</em> GPLv3</div><div><em>Programming language:</em> Fortran, C++, Python</div><div><em>Journal reference of previous version:</em> Computer Physics Communications, Volume 294, 2024, 108907</div><div><em>Does the new version supersede the previous version:</em> Yes</div><div><em>Reasons for the new version:</em> Implementation and release of DFT and DFT+G forces</div><div><em>Summary of revisions:</em> 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 <em>Portobello</em> framework. Implemented more sophisticated minimization techniques for the DFT problem.</div><div><em>Nature of problem:</em> 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.</div><div><em>Solution method:</em> Reformulate the forces to efficiently use existing DFT force implementations in the evaluation of the DFT+G force terms.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"316 ","pages":"Article 109784"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient force calculations in strongly correlated materials within DFT+G using Portobello\",\"authors\":\"Corey Peters , Ran Adler , Garry Goldstein , Yong-Xin Yao , Nicola Lanata , Gabriel Kotliar\",\"doi\":\"10.1016/j.cpc.2025.109784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 <em>Portobello</em>, 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.</div></div><div><h3>New version program summary</h3><div><em>Program Title:</em> Portobello</div><div><em>CPC Library link to program files:</em> <span><span>https://doi.org/10.17632/5p4nggbktd.2</span><svg><path></path></svg></span></div><div><em>Developer's repository link:</em> <span><span>https://gitlab.com/ranadler/portobello-public</span><svg><path></path></svg></span></div><div><em>Licensing provisions:</em> GPLv3</div><div><em>Programming language:</em> Fortran, C++, Python</div><div><em>Journal reference of previous version:</em> Computer Physics Communications, Volume 294, 2024, 108907</div><div><em>Does the new version supersede the previous version:</em> Yes</div><div><em>Reasons for the new version:</em> Implementation and release of DFT and DFT+G forces</div><div><em>Summary of revisions:</em> 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 <em>Portobello</em> framework. Implemented more sophisticated minimization techniques for the DFT problem.</div><div><em>Nature of problem:</em> Strongly correlated material design requires a fast and flexible method for computing forces and relaxing structures. 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Efficient force calculations in strongly correlated materials within DFT+G using Portobello
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
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.
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.