Zhe Chen, PhD

Affiliations: 
2014- Psychiatry, Neuroscience and Physiology New York University School of Medicine, New York, NY, United States 
Area:
computational neuroscience, neural signal processing, BMI
Website:
https://med.nyu.edu/faculty/zhe-chen
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"Zhe Chen"
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Publications

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Chen Z, Vazirisereshk MR, Khajeh A, et al. (2019) Effect of Atomic Corrugation on Adhesion and Friction - A Model Study with Graphene Step Edges. The Journal of Physical Chemistry Letters
Khajeh A, Chen Z, Kim SH, et al. (2019) Effect of Ambient Chemistry on Friction at the Basal Plane of Graphite. Acs Applied Materials & Interfaces
Lu H, Xiong H, Huang Z, et al. (2019) Electron-plasmon interaction on lithium niobate with gold nanolayer and its field distribution dependent modulation. Optics Express. 27: 19852-19863
Chen Z, Khajeh A, Martini A, et al. (2019) Chemical and physical origins of friction on surfaces with atomic steps. Science Advances. 5: eaaw0513
Chen Z, Luo J, Doudevski I, et al. (2019) Atomic Force Microscopy (AFM) Analysis of an Object Larger and Sharper than the AFM Tip. Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 1-6
Xiao Z, Martinez E, Kulkarni PM, et al. (2019) Cortical Pain Processing in the Rat Anterior Cingulate Cortex and Primary Somatosensory Cortex. Frontiers in Cellular Neuroscience. 13: 165
Dong J, Zhang Y, Wang Y, et al. (2019) Side-polished few-mode fiber based surface plasmon resonance biosensor. Optics Express. 27: 11348-11360
Qi K, Li Y, Xie Y, et al. (2019) Ag Loading Enhanced Photocatalytic Activity of g-CN Porous Nanosheets for Decomposition of Organic Pollutants. Frontiers in Chemistry. 7: 91
Wang Y, Li Y, Ding L, et al. (2019) Robust and superwetting island-shaped phytate bimetallic oxyhydroxide porous nanoclusters via a mild self-assembly-etching-catching-electrochemical oxidization strategy for an enhanced oxygen evolution reaction. Chemical Communications (Cambridge, England)
Kulkarni PM, Xiao Z, Robinson EJ, et al. (2019) A deep learning approach for real-time detection of sleep spindles. Journal of Neural Engineering
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