Prof. Joel Moser Profile

Prof. Joel Moser

at Soochow Univ.

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Publications (9)

Proceedings Article | 5 December 2024 Paper

An automatic identification algorithm for double hysteresis of nanomechanical resonators

Yubin Zhang, Chen Yang, Joel Moser

Proceedings Volume 13418, 1341802 (2024) https://doi.org/10.1117/12.3037778

KEYWORDS: Resonators, Vibration, Graphene, Matrices, Modulation, Evolutionary algorithms

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Nanomechanical resonators (NRs) are physical systems hosting mesoscopic vibrational modes. Owing to their small masses and their high mechanical quality factors, they have found applications as ultrasensitive detectors, especially for mass and force sensing. They are also ideal systems to study the physics of mesoscopic vibrations, which is the topic of this paper. Of interest to us is the fact that (i) NRs respond nonlinearly to moderately strong driving forces, and (ii) their resonant frequencies are usually tunable on chip. Here we consider the dynamics of NRs where regimes (i) and (ii) are combined. While NRs in regime (i) can host vibrations with up to three possible amplitudes and phases, NRs in the regime combining (i) and (ii) can host up to five possible vibrational states. This added complexity can be exploited to encode information in the vibrations. Some of five states are stable while the others are unstable. Their existence depends on the large number of parameters of the vibrations, therefore, identifying the hierarchy of these states in terms of their amplitude, phase and stability is not straightforward. Such identification is however important to properly encode information in the vibrations. Here, we present an algorithm to identify the vibrational states and their hierarchy automatically. The input consists of the parameters of the vibrations and the range of drive frequencies. Solutions to the equation of motion are computed and stored in a N-by-M matrix, where N is the number of drive frequencies and M=5 is the maximum number of solutions. By scanning two chosen parameters of the vibrations, we use these matrices to build an image of the mechanical response in the chosen parameter space. Our algorithm recognizes features in the image that we identify as the emergence or the disappearance of new states. The order in which these states evolve as the drive frequency is changed dictates our information encoding protocol. Therefore, our algorithm facilitates the optimization of the vibration parameters and helps us design the resonators that are best suited for our type of information encoding.

Proceedings Article | 6 November 2023 Paper

Static and dynamic analysis of electrostatically driven graphene nanomechanical drum resonators based on finite element models

Ce Zhang, YvBin Zhang, Chen Yang, Fengnan Chen, Heng Lu, Ying Yan, Joel Moser

Proceedings Volume 12921, 1292116 (2023) https://doi.org/10.1117/12.2688193

KEYWORDS: Graphene, Resonators, Mode shapes, Finite element methods, Electrodes, Sensors, 3D modeling, Vibration, Signal processing, Roentgenium

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Proceedings Article | 23 January 2023 Paper

Resonant frequency decay in graphene nanomechanical resonators fabricated by focused ion beam lithography

Youlong Xian, Wei Song, Heng Lu, Fengnan Chen, Chen Yang, Ye Tian, Ying Yan, Yue Ying, Zhuozhi Zhang, Xiangxiang Song, Joel Moser

Proceedings Volume 12556, 1255602 (2023) https://doi.org/10.1117/12.2642575

KEYWORDS: Graphene, Resonators, Silicon, Ions, Gallium, Ion beam lithography, Electrodes, Oxides, Nanolithography, Ion beams

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Proceedings Article | 23 January 2023 Paper

Fabrication of graphene nanomechanical resonators using focused ions beam lithography

Wei Song, Youlong Xian, Heng Lu, Fengnan Chen, Ce Zhang, Yubin Zhang, Ying Yan, Joel Moser

Proceedings Volume 12556, 1255603 (2023) https://doi.org/10.1117/12.2642576

KEYWORDS: Resonators, Graphene, Reflectivity, Photodetectors, Electrodes, Silicon, Ion beam lithography, Nanolithography, Lithography, Dielectrics

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Proceedings Article | 4 December 2020 Paper

Optimized fabrication and detection of nanomechanical resonators based on graphene membranes

Ye Tian, Chen Yang, Heng Lu, Fengnan Chen, Fanqi Xu, Jun Lu, Youlong Xian, Wei Song, Ying Yan, Joel Moser

Proceedings Volume 11617, 1161732 (2020) https://doi.org/10.1117/12.2585423

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Proceedings Article | 5 November 2020 Paper

A method for measuring the width of a focused laser beam in reflection

Jun Lu, Heng Lu, Antoine Reserbat-Plantey, Chen Yang, Ye Tian, Ying Yan, Joel Moser

Proceedings Volume 11562, 1156205 (2020) https://doi.org/10.1117/12.2574614

KEYWORDS: Silicon, Gold, Actuators, Optical testing, Reflectivity, Objectives, Gaussian beams

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Proceedings Article | 18 December 2019 Paper

Nonadiabtic robust pulses for creating superposition states in a resonant three-level system

Lin Wan, Joel Moser, Ying Yan

Proceedings Volume 11339, 113390D (2019) https://doi.org/10.1117/12.2547414

KEYWORDS: Quantum communications, Superposition, Quantum information, Pulsed laser operation, Hole burning spectroscopy, Superconductors, Quantum computing, Optics manufacturing, Gaussian beams, Optoelectronics

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Proceedings Article | 8 July 2019 Paper

Oblique incidence reflectance of resonators based on suspended two-dimensional membranes

Wenjing Mao, Chen Yang, Heng Lu, Jun Lu, Fengnan Chen, Lin Wan, Ying Yan, Joel Moser

Proceedings Volume 11064, 110640W (2019) https://doi.org/10.1117/12.2539955

KEYWORDS: Resonators, Reflectivity, Oblique incidence reflectance

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Proceedings Article | 24 January 2019 Paper

Optical responsivity of mechanical resonators based on suspended membranes of graphene and transition metal dichalcogenides

Fengnan Chen, Wenjing Mao, Chen Yang, Heng Lu, Kevin Schädler, Antoine Reserbat-Plantey, Johann Osmond, Guoyang Cao, Xiaofeng Li, Chinhua Wang, Ying Yan, Joel Moser

Proceedings Volume 10840, 1084008 (2019) https://doi.org/10.1117/12.2506137

KEYWORDS: Silicon, Resonators, Graphene, Oxides, Radio propagation, Interfaces, Distributed Bragg reflectors, Gold, Transition metals, Refractive index

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Showing 5 of 9 publications

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