TID leverages its state-of-the-art scientific expertise in exploiting the electromagnetic spectrum and in advanced instrumentation to develop novel technologies.
Machine Learning (ML) algorithms are found across all scientific directorates at SLAC, with applications to a wide range of tasks including online data reduction, system controls, simulation, and analysis of big data.
From studying chemical reactions that happen in femtosecond timescale to advancing society’s energy technology, the Energy Sciences Directorate’s research addresses an enormous range of critical scientific challenges.
They created a comprehensive picture of how the same chemical processes that give these cathodes their high capacity are also linked to changes in atomic structure that sap performance.
SLAC and the SUNCAT Center for Interface Science and Catalysis supported creation of a new carbon material that significantly improves the performance of batteries and supercapacitors.
The newly launched Quantum Fundamentals, ARchitecture and Machines initiative will build upon existing strengths in theoretical and experimental quantum science and engineering at Stanford and SLAC.
“Smaller, faster, cheaper" is Silicon Valley's mantra for progress. But as critical components shrink to near atomic dimensions, it’s becoming much more difficult for their developers to understand exactly how they operate before committing to product design and manufacturing.
Jolting complex materials with bursts of energy from rapid-fire lasers can help scientists learn why some of these materials exhibit useful properties such as high-temperature superconductivity.
