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Method and Implementation of a Bioinspired Polarization-Based Attitude and Heading Reference System by Integration of Polarization Compass and Inertial Sensors

Jian Yang, Tao Du, Xinxin Liu, Ben Niu, Lei Guo

IEEE Transactions on Industrial Electronics · 2019

Research context

Research on electrical energy conversion, storage and generation dates back to the nineteenth century, but only in recent years have scientists begun to investigate the impact of electron spin on these processes. The ability to control and manipulate this intrinsically quantum property of matter opens new approaches to addressing energy science challenges. The chiral-induced spin selectivity (CISS) effect is central to this effort, as it enables control over the transport and generation of both pure spin currents and spin-polarized charge currents. In this Review, we first introduce design strategies for implementing CISS in materials and then describe examples of how CISS has been used to improve electrocatalysis and spintronics. We conclude with a forward-looking perspective on the next steps for leveraging CISS in energy science.

Keywords: Compass, Heading (navigation), GNSS applications, Polarization (electrochemistry), Inertial navigation system, Attitude and heading reference system, Computer science, Satellite system, Global Positioning System, Inertial frame of reference, Engineering, Aerospace engineering, Physics, Telecommunications, Quantum mechanics, Chemistry, Physical chemistry

Source & review

Bibliographic record reviewed for relevance and publication quality. Full-text findings have not been extracted; consult the original publication for methods and results.

OpenAlex cited-by 81; topical title/abstract and venue audit passed.

81 citations · OpenAlex · observed 2026-09-08

Metadata: OpenAlex · source record ↗

Cite / 引用

Jian Yang, Tao Du, Xinxin Liu, Ben Niu, Lei Guo. Method and Implementation of a Bioinspired Polarization-Based Attitude and Heading Reference System by Integration of Polarization Compass and Inertial Sensors. IEEE Transactions on Industrial Electronics (2019). https://doi.org/10.1109/tie.2019.2952799

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