activity
20182021
collaborators

8 papers

cond-mat.mtrl-sci2021

Nanoscale Non-Destructive Ferroelectric Characterization with Non-Contact Heterodyne Electrostrain Force Microscopy

Qibin Zeng, Qicheng Huang, Hongli Wang +5

Perceiving nanoscale ferroelectric phenomena from real space is of great importance for elucidating underlying ferroelectric physics. During the past decades, nanoscale ferroelectr…

physics.app-ph2021

Strong Phonon-Cavity Coupling and Parametric Interaction in a Single Microcantilever under Ambient Conditions

Qibin Zeng, Kaiyang Zeng

Parametrically tuning the oscillation dynamics of coupled micro/nano-mechanical resonators through a mechanical pump scheme has recently attracted great attentions from fundamental…

physics.app-ph2020

A New Heterodyne Megasonic Piezoresponse Force Microscopy with High-frequency Excitation beyond 100 MHz

Qibin Zeng, Hongli Wang, Qicheng Huang +2

Piezoresponse Force Microscopy (PFM), as a powerful nanoscale characterization technique, has been extensively utilized to elucidate diverse underlying physics of ferroelectricity.…

physics.app-ph2020

Predicting the Porosity Formed in Freeze Casting by Artificial Neural Network

Yue Liu, Wei Zhai, Kaiyang Zeng

Freeze casting has been increasingly applied to process various porous materials. A linear relationship between the final porosity and the initial solid material fraction in the su…

cond-mat.mtrl-sci2018

Variation of Contact Resonance Frequency during Domain Switching in PFM Measurements for Ferroelectric Materials

Yue Liu, Yao Sun, Wanheng Lu +5

Piezoresponse Force Spectroscopy (PFS) is a powerful method widely used for measuring the nanoscale ferroelectric responses of the materials. However, it is found that certain non-…

physics.data-an2018

General Resolution Enhancement Method in Atomic Force Microscopy (AFM) Using Deep Learning

Y. Liu, Q. M. Sun, Dr. W. H. Lu +5

This paper develops a resolution enhancement method for post-processing the images from Atomic Force Microscopy (AFM). This method is based on deep learning neural networks in the…