Articles Citing

Monolithic 4H- $Si C$ nanomechanical resonators with high intrinsic quality factors

A. Hochreiter ^1,*, P. Bredol ^2,*, F. David ², B. Demiralp ², H.B. Weber ¹, and E.M. Weig ^2,3,4,†

¹Chair for Applied Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany
²School of Computation, Information and Technology, Technical University of Munich, Germany
³Munich Center for Quantum Science and Technology (MCQST), 80799 Munich, Germany
⁴TUM Center for Quantum Engineering (ZQE), 85748 Garching, Germany

^*These authors contributed equally to this work.
^†Contact author: eva.weig@tum.de

Entanglement enhancement in a modulated optomechanical system via squeezed vacuum field

Huan-Huan 欢欢 Cheng 程, Chen-Rui 晨锐 Yang 杨, Gao-Feng 高锋 Jiao 焦, Cheng-Hua 成华 Bai 白, and Shao-Xiong 少雄 Wu 武

Chinese Phys. B 35 040311 (2026)

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, and Michael Schneider

Adv Eng Mater e71360 (2026)

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Monolithic 4H- $Si C$ nanomechanical resonators with high intrinsic quality factors

Entanglement enhancement in a modulated optomechanical system via squeezed vacuum field

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

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Articles Citing

Monolithic 4H-SiC nanomechanical resonators with high intrinsic quality factors

Entanglement enhancement in a modulated optomechanical system via squeezed vacuum field

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Monolithic 4H- $Si C$ nanomechanical resonators with high intrinsic quality factors