Junqi Fang

ORCID: 0000-0003-1154-0785
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Battery Materials and Technologies
  • Advancements in Battery Materials
  • Advanced Sensor and Energy Harvesting Materials
  • Conducting polymers and applications
  • Supercapacitor Materials and Fabrication
  • Muscle activation and electromyography studies
  • Electrochemical sensors and biosensors
  • Transition Metal Oxide Nanomaterials
  • Advanced Battery Technologies Research
  • Smart Grid and Power Systems

Beijing Institute of Fashion Technology
2022-2024

South China University of Technology
2015-2018

We introduced a new strategy to synthesize NVP nanoparticles with thin carbon-coating layer embedded in three-dimensional (3D) graphene network.

10.1039/c5ta08869k article EN Journal of Materials Chemistry A 2015-11-27

Creating soft sensors is a significant research topic in the field of sensors. Electric micro/nanoparticles have special advantages constructing various sensors, e.g., textile which control their electric conductivity key problem. Here, and temperature-responsive Ag/poly(N-isopropylacrylamide-co-acrylic acid), i.e., Ag/P(NIPAM-co-AA), hybrid microgel particles can be obtained controlled, size density silver nanoparticles (AgNPs) tuned since correlation between carboxyl group AA AgNPs situ...

10.1021/acsaelm.4c00038 article EN ACS Applied Electronic Materials 2024-06-04

Force-sensitive textile sensors are becoming a research hotspot as part of wearable devices. The core topic is the method to obtain sensing property, which decides sensitivity and service performance sensors. Here, we introduce new mechanism based on statistical change contact resistance that exhibits an exponential decay upon strain or pressure, where novel conductive bamboo fabric prepared dependence electric conductivity structure discovered. surface resistivity (ρs) anisotropic with...

10.1021/acsami.2c04192 article EN ACS Applied Materials & Interfaces 2022-06-06

Abstract During the operation of digital substations, they are vulnerable to influence different fault feature extraction, resulting in weak anti-interference detection process. To solve this problem, singular value decomposition method is combined establish a prediction model. Firstly, three-dimensional control mode model established based on mathematical process current signal with anti-interference; Secondly, used optimize transmission and denoise extraction; Finally, realize substation operation.

10.1088/1742-6596/2395/1/012054 article EN Journal of Physics Conference Series 2022-12-01
Coming Soon ...