# Generative inverse estimation of 3D atomic coordination from near-edge spectra via equivariant diffusion models

Source: [Physics : nature.com subject feeds](https://www.nature.com/articles/s41524-026-02384-4) · 2026-11-12 · Physics
Page: https://themorning.science/story/generative-inverse-estimation-of-3d-atomic-coordination-from-near-edge-spectra-v-df3434ab951dc987
Kind: research · Impact: low

## In brief

- The article proposes a generative inverse-estimation method that uses equivariant diffusion models to infer 3D atomic coordinates from near-edge spectra.
- No summary was provided with the source, so methods and results beyond the title are unknown.
- The item appeared in a nature.com subject feed dated 2026-11-12.

## Why it matters

If the approach works, it could let researchers infer local atomic arrangements from spectroscopy measurements rather than relying only on direct structural methods.

## Timeline

- 2026-11-12: Article listed in nature.com subject feed

## Coverage

- [Generative inverse estimation of 3D atomic coordination from near-edge spectra via equivariant diffusion models](https://www.nature.com/articles/s41524-026-02384-4) — Physics : nature.com subject feeds, 2026-11-12

Tags: diffusion-models, spectroscopy, atomic-structure, machine-learning, materials-science

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science