Los Alamos National Labs with logo 2021

Science, Technology & Engineering Highlights

STE Highlights features current, cutting-edge scientific research at Los Alamos National Laboratory and recent awards and recognitions of Los Alamos scientists.

Machine learningResearchers have developed an adaptive approach to machine learning for compact particle accelerators. The work develops adaptive machine learning algorithms for non-invasive diagnostics and optimal feedback control of time-varying systems with un-modeled disturbances. Read more in the current STE Highlights

STE Highlights for October

The October Science, Technology & Engineering (STE) Highlights issue is now online.

About the STE Highlights

Science, Technology, and Engineering Highlights feature current, cutting-edge scientific research at Los Alamos National Laboratory and recent awards and recognitions of Los Alamos scientists. The STE Highlights are published regularly and produced by the Laboratory's Deputy Director for Science, Technology, and Engineering (DDSTE).