Machine‐Learning‐Enabled Vectorial Opto‐Magnetization Orientation
نویسندگان
چکیده
Manipulation of light-induced magnetization has become a fundamentally hot topic with potentially high impact for atom trapping, confocal and magnetic resonance microscopy, data storage. The control the orientation mainly relies on direct methods composed amplitude, phase polarization modulations incident light under tight focusing condition, leaving achievement arbitrary desirable three-dimensional (3D) complicated, inflexible inefficient. Here, we propose facile approach called machine learning inverse design to achieve expected vectorial opto-magnetization orientation. This pathway is time-efficient accurate produce demanded beam prescribed 3D It highlighted that method not only applied orientations, but also widely used in structures.
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ژورنال
عنوان ژورنال: Annalen der Physik
سال: 2021
ISSN: ['1521-3889', '0003-3804']
DOI: https://doi.org/10.1002/andp.202100287