By virtue of “artificial micro structures”,multi-dimensional optical field modulation can be achieved in micro-nano optics, including the amplitude, phase, polarization, and wavefront, which significantly surpasses the modulation with natural materials. Therefore, research at the micro-nano level is considered a vital branch of optics. Micro-nano optical devices not only promote the thinning and integration of optical systems, but also significantly empower the advancement of intelligent sensing technology, which is one of the key strategical areas of national interest. Currently, micro-nano optics faces four major bottlenecks: an unclear modulation mechanism for the optical field, inaccurate cross-scale manufacturing of optical devices, low precision in optical detection, and insufficient system design capabilities, all of which have significantly limited the application of micro-nano optical devices.
This division is devoted to the study of the regulation mechanism, device design, characteristic fabrication, and integrated applications of wafer-level micro-nano optical devices. The research direction focuses on theories of optical field modulation, computational electromagnetism, micro-nano machining technology, and on-chip integration applications.
This division is committed to developing multi-dimensional spectral microscopy, as well as the optical analysis of micro-nanostructures and their optoelectronic devices. The research fields mainly include near-field spectroscopy and microscopy, micro-optoelectronic devices, ultrafast dynamics of low-dimensional materials, and low-temperature photo-physics.
This division is committed to the study of computational imaging technology and intelligent sensing application systems with the help of micro-nano optical devices and deep learning. The research field mainly includes a computational imaging theory and system design, deep learning algorithm and hardware implementation, as well as the integration and application of an intelligent sensing system.
2017 PhD Candidate
2018 PhD Candidate
2018 PhD Candidate
2019 PhD Candidate
2019 PhD Candidate
W. Luo, R. Song, B. G. Whetten, D. Huang, X. Cheng, A. Belyanin*, T. Jiang*, and M. B. Raschke*, Nonlinear Nano-Imaging of Interlayer Coupling in 2D Graphene-Semiconductor Heterostructures, Small 2307345 (2024).
Zhou, Z.#, Song, R.#, Xu, J.#, Ni, X., Dang, Z., Zhao, Z., Quan, J., Dong, S., Hu, W., Huang, D., Chen, K.*, Wang, Z., Cheng, X., Raschke, M. B.*, Alù, A.*, Jiang, T.*, Gate-Tuning Hybrid Polaritons in Twisted α-MoO3/Graphene Heterostructures. Nano Letter
Ultrafast nano-movie of graphene. Nature Nanotechnology (2023).
DOI：https://doi.org/10.1038/s41565-023-01554-5
Related Articleshttps://www.nature.com/articles/s41565-022-01304-z
Jingyuan Zhu, Siliang Zhou, Yi Ning, Xiong Dun, Siyu Dong, Zhanshan Wang, and Xinbin Cheng, Opt. Express 31, 14027-14036 (2023)
Chao Feng, Tao He, Yuzhi Shi, Qinghua Song, Jingyuan Zhu, Jian Zhang, Zhanshan Wang, Din Ping Tsai, Xinbin Cheng，Laser & Photonics Reviews，2023, 2200955.
DOI：
Related Articleshttps://doi.org/10.1002/lpor.202200955
Jian Zhang, Xiong Dun*, Jingyuan Zhu, Zhanyi Zhang, Chao Feng, Zhanshan Wang, Wolfgang Heidrich, and Xinbin Cheng*，ACS Photonics，2023.
DOI：
Related Articleshttps://pubs.acs.org/doi/10.1021/acsphotonics.2c02029
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