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.
Researchers 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).
