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 Summit on Federated Autonomous Science
NSDF Summit on Federated Autonomous Science — October 19, 2026 in Chicago, Illinois.
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NSDF Collaboration Named Finalist for 2026 HPCwire Readers’ Choice Award
Voting is open through October 2, 2026. NSDF is a finalist for the 2026 HPCwire Readers’ Choice Award.
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Where the Beam Points Next: Autonomous Experiments Take Shape at CHESS
An X-ray experiment at Cornell recently did something unusual: It decided for itself where to take its next measurement.
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Purdue enables AI- and data- cyberinfrastructure, partners in multiple newly awarded NSF projects
Purdue’s Rosen Center for Advanced Computing (RCAC) has recently secured funding as a partner on multiple National Science Foundation (NSF) grants. The grants come from the Integrated Data Systems and Services (IDSS) program.
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A national community of scientists, facility operators, developers, educators, and students building the future of autonomous science—together.
