实验室智能感知研究发表在机械工程领域JCR一区期刊International Journal of Mechanical Sciences上

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Highlights

•A resonant cantilevered micro-plate is proved to be a promising candidate that can sequentially detect multiple particles.

•The identification of multiple particles is regarded as an optimization problem via genetic algorithm to replace the widely-used least squares method.

•Better identification accuracy is illustrated by exquisitely updating the modal shape changes of a micro-plate after each particle adsorption.

•An experimental strategy based on focused ion beam and scanning probe microscopy verifies the applicability of the theoretic framework in designing and evaluating micro/nano sensors.

马树军
马树军
教授/博士生导师

研究兴趣:微纳感知与智能系统相关理论和应用.

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