The Challenge
Find important transitions with limited beam time and complex experimental data.
Featured Story
Materials Science • ORNL
Scientists identified a magnetic transition in real time using adaptive measurements, AI recommendations, and live visualization connected through NSDF.
Find important transitions with limited beam time and complex experimental data.
NSDF connects instruments, AI services, scientists, computing, dashboards, and provenance.
Adaptive experiments focus beam time on the most informative measurements and accelerate discovery.
Earth & Climate • NASA
High-performance analytics and AI connect large climate collections with scalable scientific workflows.
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Physics • Dark Matter
AI-assisted discovery helps researchers search massive detector archives for rare and scientifically valuable events.
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Earth & Climate • Terrain Analytics
GEOtiled enables high-resolution terrain parameter production at continental scale through parallel tile processing and progressive data access.
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Material Science • Research
AI-assisted discovery helps researchers search massive detector archives for rare and scientifically valuable events.
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Materials Science • ORNL
Scientists identified a magnetic transition in real time using adaptive measurements, AI recommendations, and live visualization connected through NSDF.
Explore use case →
Earth & Climate • SOMOSPIE
SOMOSPIE combines satellite measurements with terrain, climate, and environmental data to generate fine-resolution soil moisture predictions through NSDF.
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Materials Science • CHESS
Adaptive measurements focus on the most informative regions using remote AI recommendations and live experiment data.
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NSDF DigitalAdaptive measurements focus on the most informative regions.
Distributed scientific archives become easier to discover and reuse.
Recommendations remain connected to evidence and provenance.
Services developed for one domain can support many others.
Are you working with a scientific instrument, distributed dataset, or AI-driven workflow? NSDF collaborates with facilities and research teams to develop reusable autonomous-science capabilities.