# Self-driving Multimodal Studies at User Facilities

arXiv: https://arxiv.org/abs/2301.09177 · HTML: https://mlsanity.com/paper/2301.09177/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jan 2023.

## Built on by (most cited first, 3 of 3)

- [Autonomous battery research: Principles of heuristic operando experimentation](https://mlsanity.com/paper/2601.00851/) (2025)
- [Benchmarking Autonomy in Scientific Experiments: A Hierarchical Taxonomy for Autonomous Large-Scale Facilities](https://mlsanity.com/paper/2601.06978/) (2026)
- [OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra](https://mlsanity.com/paper/2409.19552/) (2024)

## Abstract (arXiv)

Multimodal characterization is commonly required for understanding materials. User facilities possess the infrastructure to perform these measurements, albeit in serial over days to months. In this paper, we describe a unified multimodal measurement of a single sample library at distant instruments, driven by a concert of distributed agents that use analysis from each modality to inform the direction of the other in real time. Powered by the Bluesky project at the National Synchrotron Light Source II, this experiment is a world's first for beamline science, and provides a blueprint for future approaches to multimodal and multifidelity experiments at user facilities.