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PUBLICATIONS

Event Report for "MLXN25: Machine Learning for X-ray and Neutron Scattering"

Published

Author(s)

Peter Beaucage, Tanny Andrea Chavez Esparza, Alexander Hexemer, Tyler Martin, Peter Müller-Buschbaum, Stephan Roth, Xiaoping Wang

Abstract

The MLXN25 virtual event was held on April 15, 2025, as a continuous 24-hour global event, uniting over 300 registered participants from 18 countries and 20 user facilities to discuss how machine learning (ML) is transforming X-ray and neutron science. This year's program offered a sweeping view of emerging ML methodologies across data processing, simulation, autonomous control, and instrumentation development. The event featured 31 talks, 5 tutorials, 6 open discussions, and several live demonstrations. With contributions from academia, government laboratories, and industry, MLXN25 exemplified a vibrant, global research community pushing the boundaries of scientific discovery through artificial intelligence
Citation
Synchrotron Radiation News
Pub Type
Journals
Machine learning

Citation

Beaucage, P. , Chavez Esparza, T. , Hexemer, A. , Martin, T. , Müller-Buschbaum, P. , Roth, S. and Wang, X. (2025), Event Report for "MLXN25: Machine Learning for X-ray and Neutron Scattering", Synchrotron Radiation News (Accessed October 16, 2025)

Issues

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Created July 3, 2025
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