Dissemin is shutting down on January 1st, 2025

Published in

Royal Society of Chemistry, Nanoscale, 39(14), p. 14529-14536, 2022

DOI: 10.1039/d2nr03696g

Links

Tools

Export citation

Search in Google Scholar

Machine learning enhanced in situ electron beam lithography of photonic nanostructures

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Machine learning is used to improve in situ electron beam lithography capabilities. Specially trained algorithms increase the sensitivity by more than a factor of 10 in the deterministic processing of high-performance quantum light sources.