Microfabricated vapor cells with chemical polishing and two-step low-temperature anodic bonding for single-beam magnetometer

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-09-13 DOI:10.1016/j.measurement.2024.115744
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Abstract

With the miniaturization of quantum sensors, the fabrication of alkali metal vapor cells based on micro-electromechanical systems (MEMS) has become increasingly important. However, the fabrication of MEMS vapor cells remains a challenge. In this study, a microfabricated millimeter-level vapor cell was fabricated and tested. The silicon cavity was fabricated by dry etching and chemical polishing. After injection of alkali metal and buffer gas, a two-step low-temperature anodic bonding was employed. The first step was non-isothermal to keep the alkali metal in the low-temperature pole plate and the second step was isothermal to improve the bonding strength, enhancing the hermeticity. Then, the vapor cell was tested for sidewall roughness, bonding strength, and leakage rate. Subsequently, Rb D1 line absorption spectroscopy, stability, and the single-beam magnetometer signal were tested. The results show the fabricated vapor cell had high stability, providing a basis for the miniaturization of quantum devices.

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用于单光束磁强计的化学抛光和两步低温阳极键合的微加工蒸气电池
随着量子传感器的微型化,基于微机电系统(MEMS)的碱金属蒸发电池的制造变得越来越重要。然而,MEMS 蒸汽电池的制造仍然是一项挑战。本研究制作并测试了一种微加工毫米级蒸气电池。硅腔是通过干法蚀刻和化学抛光制造的。注入碱金属和缓冲气体后,采用两步低温阳极键合。第一步为非等温键合,以使碱金属保持在低温极板中;第二步为等温键合,以提高键合强度,增强密封性。然后,对蒸气电池的侧壁粗糙度、结合强度和泄漏率进行了测试。随后,测试了铷 D1 线吸收光谱、稳定性和单束磁强计信号。结果表明,制作的蒸气电池具有很高的稳定性,为量子器件的微型化提供了基础。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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