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New TDDFT method speeds XRTS calculations

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Research area:business-management

What the study found

The study found a broadly applicable way to make time-dependent density functional theory, or TDDFT, calculations more efficient for X-ray Thomson scattering, or XRTS, and other dynamic response properties. The authors report that the method can speed calculations by up to an order of magnitude without introducing any significant bias.

Why the authors say this matters

The authors say this matters because XRTS is an essential technique for diagnosing materials under extreme conditions, and TDDFT is one of the most accurate available ab initio methods for modeling these spectra. They suggest that reducing the computational burden could help with XRTS analysis.

What the researchers tested

The researchers developed a method based on a one-to-one mapping between the dynamic structure factor and the imaginary time density-density correlation function, which arises in Feynman's path integral formulation of quantum many-body theory. They combined convergence tests in the imaginary time domain with a constraints-based attenuation of narrow-band fluctuations to improve TDDFT efficiency.

What worked and what didn't

The method reportedly improved the efficiency of TDDFT modeling. The abstract states that it produced a speed-up of up to an order of magnitude and did so without introducing any significant bias.

What to keep in mind

The abstract does not describe detailed limitations, and it does not report results beyond the stated speed-up and lack of significant bias. It also does not provide quantitative comparisons for specific systems, temperatures, or densities.

Key points

  • The study reports a new way to make TDDFT calculations more efficient for XRTS.
  • The authors say the method can speed calculations by up to an order of magnitude.
  • The approach is based on a mapping between the dynamic structure factor and an imaginary time density-density correlation function.
  • The abstract says the method improves efficiency without introducing any significant bias.
  • XRTS is presented as important for diagnosing materials under extreme conditions.

Disclosure

Research title:
New TDDFT method speeds XRTS calculations
Authors:
Zhandos A. Moldabekov, Sebastian Schwalbe, Uwe Hernandez Acosta, Thomas Gawne, Jan Vorberger, Michele Pavanello, Tobias Dornheim
Institutions:
Center for Advanced Systems Understanding, Center for Advanced Systems Understanding, Center for Advanced Systems Understanding, Center for Advanced Systems Understanding, Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Zentrum Dresden-Rossendorf, Rutgers, The State University of New Jersey
Publication date:
2026-04-25
DOI:
10.1038/s41524-026-02088-9
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.

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