Accelerating
Autonomous
Scientific Discovery
NSDF connects scientific instruments, data, AI, and advanced computing to enable trustworthy autonomous scientific discovery.
Science in Action
Real-world use cases. Real scientific impact.

AI-Guided Neutron Scattering
Scientists identified a magnetic transition in real time using adaptive measurements, AI recommendations, and live visualization connected through NSDF.
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AI-Guided Synchrotron Experiments
Adaptive measurements focus on the most informative regions using remote AI recommendations and live experiment data.
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Dark matter: democratizing access to rare, high-value scientific datasets
Dark matter remains one of the greatest mysteries in physics, yet many valuable datasets are difficult to access because they rely on proprietary data formats and specialized software.
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Climate science: scaling petabyte-scale climate analytics
Modern climate science relies on petabytes of simulation and observational data, but analyzing these datasets at full resolution is often prohibitively expensive.
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and growing
FacilitiesConnected through NSDF
DomainsAdvancing discovery together
News and Events
Latest updates from the NSDF community.

NSDF Advances Autonomous Scientific Discovery at ISC 2026
NSDF is featured at the 2nd Workshop on Advancing Autonomous Scientific Discovery at ISC 2026 in Hamburg.
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NSDF Presented AI-Guided Beamline Experiments at DOE Data Days
NSDF presented AI-guided beamline experiments with INTERSECT at ORNL and CHESS, showcasing live adaptive measurements.
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NSDF Highlighted at SC25 Talk on Interconnected Autonomous Science Labs
At SC25, Taufer showcased NSDF's breakthrough partnership with ORNL and demonstrated how NSDF's federated infrastructure enables real-time, HPC-integrated autonomous discovery.
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NSDF and INTERSECT@ORNL POWGEN Autonomous Experiment
Scaling from one beamline to many. NSDF connects instruments to AI for on-the-fly autonomous powder diffraction.
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A national community of scientists, facility operators, developers, educators, and students building the future of autonomous science—together.