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Hongli Wang

4 papers hereh-index 7370 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci2
  • physics.app-ph1
  • physics.data-an1
same name
  • Hongli Wang — 1 paper, h 14
  • Hongli Wang — 1 paper
  • Hongli Wang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
collaborators

4 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-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.…

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…

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