Optical Memory And Neural Networks

Optical Memory And Neural Networks is an internationally peer-reviewed journal that extensively covers issues in the field of information optics, including optical memory, optical data recording and processing mechanisms, photosensitive materials, optics, optoelectronics, and holographic nanostructures. The journal also includes papers on memory systems using holography and biological structures, as well as concepts of brain operation. Special attention should be paid to the research of neural network systems that may lead to a new generation of intelligent computing technologies. The magazine welcomes manuscript submissions from around the world and follows Springer Nature's peer review policy and editorial code of conduct.

The content of this journal includes not only the basic principles of optical memory, such as the mechanism of optical information recording and the physical properties of photosensitive materials and structures, but also the application research of optical memory systems for data storage and processing. It pays special attention to the latest developments in all-optical machine learning using photonic integrated circuits, which is a popular research direction in the current technology field. Journals have had a significant impact on the scientific development and technological innovation of related fields by publishing cutting-edge research results.