Predictive visualisation of high repetition rate femtosecond machining of silica using deep learning

IF 2.8 3区材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY

Optical Materials Express Pub Date : 2023-11-13 DOI:10.1364/ome.505746

Benjamin Mills, James Grant-Jacob, Michalis Zervas

引用次数: 0

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利用深度学习实现高重复率飞秒二氧化硅加工的预测可视化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optical Materials Express MATERIALS SCIENCE, MULTIDISCIPLINARY-OPTICS

CiteScore

5.50

自引率

3.60%

发文量

377

审稿时长

1.5 months

期刊介绍： The Optical Society (OSA) publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community. Optical Materials Express (OMEx), OSA''s open-access, rapid-review journal, primarily emphasizes advances in both conventional and novel optical materials, their properties, theory and modeling, synthesis and fabrication approaches for optics and photonics; how such materials contribute to novel optical behavior; and how they enable new or improved optical devices. The journal covers a full range of topics, including, but not limited to: Artificially engineered optical structures Biomaterials Optical detector materials Optical storage media Materials for integrated optics Nonlinear optical materials Laser materials Metamaterials Nanomaterials Organics and polymers Soft materials IR materials Materials for fiber optics Hybrid technologies Materials for quantum photonics Optical Materials Express considers original research articles, feature issue contributions, invited reviews, and comments on published articles. The Journal also publishes occasional short, timely opinion articles from experts and thought-leaders in the field on current or emerging topic areas that are generating significant interest.