Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond.

Homrighausen, Jonas; Horsthemke, Ludwig; Pogorzelski, Jens; Trinschek, Sarah; Glösekötter, Peter; Gregor, Markus

Homrighausen, Jonas; Horsthemke, Ludwig; Pogorzelski, Jens; Trinschek, Sarah; Glösekötter, Peter; Gregor, Markus.

Afiliación

Homrighausen J; Department of Engineering Physics, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
Horsthemke L; Department of Electrical Engineering and Computer Science, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
Pogorzelski J; Department of Electrical Engineering and Computer Science, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
Trinschek S; Department of Engineering Physics, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
Glösekötter P; Department of Electrical Engineering and Computer Science, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.
Gregor M; Department of Engineering Physics, Münster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany.

Sensors (Basel) ; 23(3)2023 Jan 18.

Article en En | MEDLINE | ID: mdl-36772156

Palabras clave

NV center in diamond; edge machine learning; magnetometry; microcontroller; neural networks; optically detected magnetic resonance; quantum sensing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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