Information encoding in spherical DFT

Spherical density functional theory (DFT) is a reformulation of the classic theorems of DFT, in which the role of the total density of a many-electron system is replaced by a set of sphericalized densities, constructed by spherically averaging the total electron density about each atomic nucleus. In Hohenberg-Kohn DFT and its constrained-search generalization, the electron density suffices to reconstruct the spatial locations and atomic numbers of the constituent atoms, and thus the external potential. However, the original proofs of spherical DFT require knowledge of the atomic locations at which each sphericalized density originates, in addition to the set of sphericalized densities themselves. In the present work, we utilize formal results from geometric algebra-in particular, the subfield of distance geometry-to show that for Coulombic systems, this spatial information is encoded within the ensemble of sphericalized densities themselves and does not require independent specification. Consequently, the set of sphericalized densities uniquely determines the total external potential of the system, exactly as in Hohenberg-Kohn DFT. This theoretical result is illustrated through numerical examples for LiF and for glycine, the simplest amino acid. In addition to establishing a sound practical foundation for spherical DFT as applied to Coulombic systems, the extended theorem provides a rationale for the use of sphericalized atomic basis densities-rather than orientation-dependent basis functions-when designing classical or machine-learned potentials for atomistic simulation.

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Journal
The Journal of Chemical Physics
Published
2026-01-02
DOI
https://doi.org/10.1063/5.0293706
Primary Topic
Machine Learning in Materials Science
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article
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article

Information encoding in spherical DFT

Susan R. Atlas, Sol Samuels, Chance M. Baxter
The Journal of Chemical Physics
Machine Learning in Materials Science
article

Information encoding in spherical DFT

Susan R. Atlas, Sol Samuels, Chance M. Baxter
article en

Abstract

Spherical density functional theory (DFT) is a reformulation of the classic theorems of DFT, in which the role of the total density of a many-electron system is replaced by a set of sphericalized densities, constructed by spherically averaging the total electron density about each atomic nucleus. In Hohenberg-Kohn DFT and its constrained-search generalization, the electron density suffices to reconstruct the spatial locations and atomic numbers of the constituent atoms, and thus the external potential. However, the original proofs of spherical DFT require knowledge of the atomic locations at which each sphericalized density originates, in addition to the set of sphericalized densities themselves. In the present work, we utilize formal results from geometric algebra-in particular, the subfield of distance geometry-to show that for Coulombic systems, this spatial information is encoded within the ensemble of sphericalized densities themselves and does not require independent specification. Consequently, the set of sphericalized densities uniquely determines the total external potential of the system, exactly as in Hohenberg-Kohn DFT. This theoretical result is illustrated through numerical examples for LiF and for glycine, the simplest amino acid. In addition to establishing a sound practical foundation for spherical DFT as applied to Coulombic systems, the extended theorem provides a rationale for the use of sphericalized atomic basis densities-rather than orientation-dependent basis functions-when designing classical or machine-learned potentials for atomistic simulation.

The Journal of Chemical PhysicsVol. 164(1)
University of New Mexico (US)
Openalex Percentile: Top 99%
Machine Learning in Materials Science
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Information encoding in spherical DFT — Susan R. Atlas, Sol Samuels, et al. · The Journal of Chemical Physics (2026) | TGRS Research Map | TGRS