Coupling all-electron full-potential density functional theory with grid-based continuum embeddings

Recent advances in continuum embedding models have enabled the incorporation of solvent and electrolyte effects into density functional theory (DFT) simulations of material surfaces, significantly benefiting electrochemistry, catalysis, and other applications. To extend the simulation of diverse systems and properties, the implementation of continuum embedding models into the Environ library adopts a modular programming paradigm, offering a flexible interface for communication with various DFT programs. The speed and scalability of the current implementation rely on a smooth definition of the key physical properties of the atomistic system, in particular, of its electronic density. This has hindered the coupling of Environ with all-electron simulation packages, as the sharp electron density peaks near atomic nuclei are difficult to represent on regular grids. In this work, we introduce a novel smoothing scheme that transforms atom-centered electron densities into a regular grid representation while preserving the accuracy of electrostatic calculations. This approach enables a minimal and generic interface, facilitating seamless interoperability between Environ and all-electron DFT programs. We demonstrate this development through the coupling of Environ with the FHI-aims package and present benchmark simulations that validate the proposed method.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2025-10-22
DOI
https://doi.org/10.1063/5.0288363
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Coupling all-electron full-potential density functional theory with grid-based continuum embeddings

Karsten Reuter, Jakob Filser, Edan Bainglass, Oliviero Andreussi
The Journal of Chemical Physics
Machine Learning in Materials Science
article

Coupling all-electron full-potential density functional theory with grid-based continuum embeddings

Karsten Reuter, Jakob Filser, Edan Bainglass, Oliviero Andreussi
article en

Abstract

Recent advances in continuum embedding models have enabled the incorporation of solvent and electrolyte effects into density functional theory (DFT) simulations of material surfaces, significantly benefiting electrochemistry, catalysis, and other applications. To extend the simulation of diverse systems and properties, the implementation of continuum embedding models into the Environ library adopts a modular programming paradigm, offering a flexible interface for communication with various DFT programs. The speed and scalability of the current implementation rely on a smooth definition of the key physical properties of the atomistic system, in particular, of its electronic density. This has hindered the coupling of Environ with all-electron simulation packages, as the sharp electron density peaks near atomic nuclei are difficult to represent on regular grids. In this work, we introduce a novel smoothing scheme that transforms atom-centered electron densities into a regular grid representation while preserving the accuracy of electrostatic calculations. This approach enables a minimal and generic interface, facilitating seamless interoperability between Environ and all-electron DFT programs. We demonstrate this development through the coupling of Environ with the FHI-aims package and present benchmark simulations that validate the proposed method.

The Journal of Chemical PhysicsVol. 163(16)
Boise State University (US), Fritz Haber Institute of the Max Planck Society (DE), Paul Scherrer Institute (CH)
Openalex Percentile: Top 76%
Machine Learning in Materials Science
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Coupling all-electron full-potential density functional theory with grid-based continuum embeddings — Karsten Reuter, Jakob Filser, et al. · The Journal of Chemical Physics (2025) | TGRS Research Map | TGRS