Open AccessReversible training of waveguide-based AND/OR gates for optically driven artificial neural networks using photochromic molecules
Author(s) -
SeonYoung Rhim,
Giovanni Ligorio,
Felix Hermerschmidt,
Michael Pätzel,
Martin Herder,
Stefan Hecht,
Emil J. W. ListKratochvil
Publication year - 2021
Publication title -
journal of physics. d, applied physics
Language(s) - English
Resource type - Journals
eISSN - 1361-6463
pISSN - 0022-3727
DOI - 10.1088/1361-6463/ac2d62
Subject(s) - neuromorphic engineering , artificial neural network , von neumann architecture , computer science , photonics , photochromism , encode , waveguide , optical computing , electronic engineering , topology (electrical circuits) , artificial intelligence , materials science , nanotechnology , optoelectronics , engineering , electrical engineering , chemistry , gene , operating system , biochemistry