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MLXN: Machine Learning for X-ray and Neutron Scattering
2026-02-13 · via News and Events Feed by Topic
Abstract concept of atom and quantum waves illustrated with fractal elements

Credit: © Shutterstock/agsandrew and NIST/Crissy Robinson

Building on the success of previous meetings—in-person workshops at Lawrence Berkeley National Lab (2023) and Technische Universität München (2024), followed by MLXN25, last year's online 24-hour event that brought together researchers, practitioners, and enthusiasts from around the globe, we are excited to announce MLXN26. While we will return to the online format in future years, this year's event will be held in-person with limited hybrid options available. Held from April 12th-14th 2026 in Washington DC, USA, this event will explore the transformative power of machine learning in X-ray and neutron scattering. In addition to traditional contributed and invited talks, we will have opportunities for networking and collaboration in a vibrant in-person setting.

Agenda

Day 1: Monday, April 13

Start TimeEnd TimeSession/TalkPresenter
7:30 AM8:30 AMCheck-in & Refreshments
8:30 AM8:45 AMWelcome Remarks from the Director of NIST's Material Measurement LabDr. Kathryn Beers
8:45 AM9:00 AMWelcome Remarks from the Leader of the Neutron Condensed Matter Science Group at the NIST Center for Neutron Research (NCNR)Dr. Ronald Jones
9:00 AM9:30 AMTitle TBADr. Jon Taylor
9:30 AM10:00 AMTitle TBADr. Alexander Hexemer
10:00 AM10:30 AM

Coffee Break

10:30 AM11:00 AMTitle TBADr. David P. Hoogerheide
11:00 AM11:30 AMRethinking AI: From Perceived Intelligence to Measurable ResponsibilityProf. Marina Tropmann-Frick
11:30 AM12:00 PMFrom Beamtime to Publication: Trustworthy AI to Accelerate Neutron Diffraction WorkflowsDr. Xiaoping Wang
12:00 PM1:30 PM

Lunch Break

1:30 PM2:00 PMRetrieving cluster growth using deep-learning using in situ sputter deposition and GISAXSProf. Dr. Stephan Volkher Roth
2:00 PM2:30 PMMAIQMag: Multimodal AI for 2D Quantum MagnetsDr. Daniel Pajerowski
2:30 PM3:00 PMStructure Formation in Functional Films Revealed by Machine-Learning-Supported Grazing-Incidence Small-Angle X-ray ScatteringProf. Dr. Peter Müller-Buschbaum
3:00 PM3:30 PM

Group Picture and Coffee Break

3:30 PM4:00 PMCorrelation as a Robust and Efficient Organizing Principle for Count-Limited Multipixel MeasurementsDr. Chi-Huan Tung
4:00 PM4:30 PMCommissioning on-the-fly, Autonomous Neutron Scattering Experiments using an Interconnected Science Ecosystem ApproachDr. Marshall T. McDonnell
4:30 PM5:00 PMUSAXS Detector-to-Paper Data Pipeline for Scattering Data in the Age of AlDr. Jan Ilavsky
5:00 PM5:30 PMRevealing local structure and defects through multimodal spectroscopy and machine learningDr. Haili Jia
5:30 PM6:30 PMBreak/Discussion/Adjourn 
6:30 PM8:30 PM

Dinner

Day 2: Tuesday, April 14

Start TimeEnd TimeSession/TalkPresenter
8:00 AM8:30 AM

Check-in and Refreshments

8:30 AM9:00 AMRiding the Whitewater Rapids of AI & ML at an Operational FacilityDr. Tim Snow
9:00 AM9:30 AMAdapting AI at ESS: Perspectives from a New Neutron SourceDr. Fredrik Bolmsten
9:30 AM10:00 AMCrystalPilot: AI-accelerated single-crystal neutron diffraction at the Spallation Neutron SourceDr. Zhongcan Xiao
10:00 AM10:30 AM

Coffee Break

10:30 AM11:00 AMTitle TBADr. Brian DeCost
11:00 AM11:30 AMPhysics-Constrained Peak Integration in Time-of-Flight Neutron ScatteringDr. Viktor Reshniak
11:30 AM12:00 PMFrom Chatbots to Autonomous Agents: Large Language Models for End-to-End Neutron Scattering Workflows at EQ-SANSDr. Changwoo Do
12:00 PM1:30 PM

Lunch Break

1:30 PM2:00 PMAGAPI-XRD: Hybrid DiffractGPT-Rietveld Refinement Framework for Automated X-ray Diffraction AnalysisProf. Kamal Choudhary
2:00 PM2:30 PMPtychoFM: Toward a Foundation Model for Ptychographic ImagingDr. Aileen Luo
2:30 PM3:00 PMMachine Learning–Augmented Acceleration of Iterative Ptychographic ReconstructionDr. Bowen Zheng
3:00 PM3:30 PM

Coffee Break

3:30 PM4:00 PMToward Chemistry-Aware Machine Learning Models for Polymeric Materials DesignProf. Boran Ma
4:00 PM4:30 PMFunction Space Data Representations for Self-driving LaboratoriesDr. Kiran Vaddi
4:30 PM5:00 PMTitle TBADr. Ming-Chiang Chang
5:00 PM5:30 PMClosing Remarks/Adjourn
Lodging Information

A hotel block has been reserved at the following location:

Residence Inn Dupont Circle

Address: 2120 P Street Northwest, Washington DC 20037

Rate: $239/night, excluding taxes and fees. Rate includes complimentary breakfast each day.

CLICK HERE to book your room. 

Created February 13, 2026, Updated April 12, 2026

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