Dataset for paper entitled "Developing Reliable Foam Sensors with Novel Electrodes"

This dataset includes all the experimental results presented in the IEEE Sensors 2019 paper "Developing Reliable Foam Sensors with Novel Electrodes" (DOI: 10.1109/SENSORS43011.2019.8956750). URL of IEEE Xplore: https://ieeexplore.ieee.org/document/8956750 List of data in this dataset: Fig-1-Stress-Strain curves of PU foam and Coated foam.xlsx Fig-3-Conductive foam without electrodes.xlsx Fig-4-Foam sensor with Ag electrodes.xlsx Fig-5-Foam sensor-stability-100cycles.xlsx All the data included in this dataset were collected by Dr. Hongbo Wang. Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

This dataset includes all the experimental results presented in the IEEE Sensors 2019 paper "Developing Reliable Foam Sensors with Novel Electrodes" (DOI: 10.1109/SENSORS43011.2019.8956750).

Related Organizations

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Italy
Italian Institute of Technology
Italy

Keywords

conductive foam, Sponge, Soft sensors, contact resistance, Compressible materials, porous materials, electrodes

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average