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A quantum-mechanical framework for million-atom scale biological systems

Luc Wieners et al · Nature Portfolio · 2026

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Abstract Quantum-mechanical simulations provide the most fundamental description of matter, yet their computational cost commonly limits applications to systems containing at most thousands of atoms. Here, we present an all-electron quantum-mechanical framework focused on very fast calculations up to the multimillion-atom regime which is achieved by scaling down the accuracy of the framework while still maintaining agreement with experimental results. By combining algorithmically optimised Hartree-Fock with divide-and-conquer, using a minimal basis set and truncating long-range interactions, our approach efficiently handles million-atom structures while remaining accessible for smaller computation clusters and saving energy due to fast run times. We demonstrate this approach on very large biological systems, including a bacteriophage in water, totalling over 150 million electrons, representing, to our knowledge, the largest Hartree-Fock calculation performed to date. Our framework allows computing spectral data for DNA and drugs and enables protein structure assessments in strong agreement with structure evaluations by AlphaFold.

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APA 7

al, L. W. E. (2026). A quantum-mechanical framework for million-atom scale biological systems. https://doi.org/10.1038/s42004-026-02038-y

MLA

al, Luc Wieners et. "A quantum-mechanical framework for million-atom scale biological systems." 2026. https://doi.org/10.1038/s42004-026-02038-y.

Chicago

al, Luc Wieners et. 2026. "A quantum-mechanical framework for million-atom scale biological systems.". https://doi.org/10.1038/s42004-026-02038-y.

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al, L. W. E. 2026, A quantum-mechanical framework for million-atom scale biological systems, Nature Portfolio, available at: https://doi.org/10.1038/s42004-026-02038-y [Accessed 7 Aug. 2026].

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Title
A quantum-mechanical framework for million-atom scale biological systems
Author / contributors
Luc Wieners et al
Publisher
Nature Portfolio
Publication year
2026
ISSN
2399-3669
ISSN
2399-3669
Language
English
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