A multifunctional metalens based on inverse design for nuclear magnetic resonance co-magnetometers

Nuclear magnetic resonance (NMR) co-magnetometers enable high-precision magnetic field measurement and inertial measurement with great application potential, whose optical components need to adjust beam quality and polarization to ensure detection performance. However, existing devices are bulky with low integration, and traditional design methods also restrict their development. This study uses a metasurface to integrate polarization and collimation functions, and proposes an inverse design method combining transfer learning and optimization algorithms. Experiments show that the metasurface achieves 82.63% transmittance, with collimation and polarization performance deviating from theoretical values by less than 3%, effectively reducing system volume while guaranteeing co-magnetometer performance, thereby providing a feasible method for micro-nano atomic magnetometers.

Authors

Publication Details

Journal
Optics Letters
Published
2026-03-12
DOI
https://doi.org/10.1364/ol.596274
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
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article

A multifunctional metalens based on inverse design for nuclear magnetic resonance co-magnetometers

Chai Zhen, Xinran Su, Chuqing Sun, Yan Xu
Optics Letters
Atomic and Subatomic Physics Research
article

A multifunctional metalens based on inverse design for nuclear magnetic resonance co-magnetometers

Chai Zhen, Xinran Su, Chuqing Sun, Yan Xu
article en

Abstract

Nuclear magnetic resonance (NMR) co-magnetometers enable high-precision magnetic field measurement and inertial measurement with great application potential, whose optical components need to adjust beam quality and polarization to ensure detection performance. However, existing devices are bulky with low integration, and traditional design methods also restrict their development. This study uses a metasurface to integrate polarization and collimation functions, and proposes an inverse design method combining transfer learning and optimization algorithms. Experiments show that the metasurface achieves 82.63% transmittance, with collimation and polarization performance deviating from theoretical values by less than 3%, effectively reducing system volume while guaranteeing co-magnetometer performance, thereby providing a feasible method for micro-nano atomic magnetometers.

Optics LettersVol. 51(7)
Affordable and clean energy
Openalex Percentile: Top 23%
Atomic and Subatomic Physics Research
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