Optical Memory And Neural Networks

英文简介Optical Memory And Neural Networks期刊介绍

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.

期刊简介Optical Memory And Neural Networks期刊介绍

《Optical Memory And Neural Networks》是一本物理与天体物理优秀杂志。致力于发表原创科学研究结果，并为物理与天体物理各个领域的原创研究提供一个展示平台，以促进物理与天体物理领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道物理与天体物理领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

• 物理与天体物理
• 光学
• SCIE
• 中科院4区
• 非预警