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To address challenges associated with extremely large data volumes and rates, SLAC’s Computer science division works with Stanford and Silicon Valley partners on innovative computational solutions.

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SRCF-II construction

News Feature

SLAC works with two small businesses to make its ACE3P software easier to use in supercomputer simulations for optimizing the shapes of accelerator structures.

A large, complex shape is seen against a blue background crisscrossed with white lines. The shape is dark blue and resembles a brick partially topped with a thick shark’s fin. Three areas of bright red, orange and green, are on the shape’s bottom edge.
News Feature

An extension of the Stanford Research Computing Facility will host several data centers to handle the unprecedented data streams that will be produced by...

News Feature

The leaders of SLAC's Technology Innovation Directorate discuss how their group supports the lab's most innovative projects.

TID senior managers
Press Release

They discover a short-lived state that could lead to faster and more energy-efficient computing devices.

ultrafast switching
News Feature

Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

Physicist Daniel Ratner.
News Feature

Two projects will look for ways to link individual quantum devices into networks for quantum computing and ultrasensitive detectors.

QIS microantenna
News Feature

Maria Elena Monzani prepares an international team to search for clues to one of the biggest scientific mysteries.

Maria Elena Monzani at the LZ test facility
News Feature

Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.

News Feature

Combination of research methods reveals causes of capacity fading, giving scientists better insight to design advanced batteries for electric vehicles

Cathode degradation
News Feature

SLAC receives three awards for the development of quantum technology for dark matter searches and quantum computing

Quantum Information Science
News Feature

Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of...

Machine Learning in HEP
News Feature

Tiny pores in the shells of archaea microbes attract ammonium ions that are their sole source of energy, allowing them to thrive where this...

Artist's depiction of a tiny pore in an archaea's crystalline shell