# Researchers reconstruct ultrathin magnets and sensor distance with physics-guided AI

_Published Friday, October 16, 2026 at 12:18 PM EDT · Science, AI · Latest · Tier 2 — Notable_

![Researchers reconstruct ultrathin magnets and sensor distance with physics-guided AI — Primary](https://scx2.b-cdn.net/gfx/news/hires/2026/finding-the-magnetic-p.jpg)

University of Vienna researchers and collaborators demonstrated a method that reconstructs an ultrathin magnet's internal pattern while calculating the sensor's distance from it. The work, published in Physical Review Letters, addresses an ambiguity in magnetic imaging: different internal patterns can produce the same external field.

The algorithm selects a pattern that matches the measured field while minimizing the material's physical energy. Tested on diamond-sensor measurements of Fe₃−ₓGaTe₂, it calculated a sensor distance of 81 nanometers. The reconstruction software is open source; adapting the approach to other imaging techniques is a further application rather than the demonstrated result.

## Sources

- [Phys.org](https://phys.org/news/2026-10-physics-ai-reconstructs-hidden-patterns.html)

---
Canonical: https://techandbusiness.org/newswire/MUUpP3FsR28Ygtpdgstk9r
Published: 2026-10-16T16:18:23.348Z
Story chronology: 2026-10-16T15:40:12.000Z
Retrieved: 2026-10-16T19:11:27.455Z
Publisher: Tech & Business (techandbusiness.org)