Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Datasets and Code
  4. Dataset for 'Printed ecoresorbable temperature sensors for environmental monitoring'
 
dataset

Dataset for 'Printed ecoresorbable temperature sensors for environmental monitoring'

Fumeaux, Nicolas Francis  
•
Kossairi, Melissa
•
Bourely, James Alec Pierce  
Show more
2023
Zenodo

This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Printed ecoresorbable temperature sensors for environmental monitoring”. This work aims to study the effect of photonic sintering parameters on the temperature behavior of printed zinc resistors, with the aim to fabricate eco-friendly and ecoresorbable temperature sensors on paper. Biodegradable electronic devices have potential in tackling the increasingly pressing challenge of electronic waste and printing methods allow to reduce toxic byproducts of fabrication and wasted material. The sintering method that is optimized here is based on our previous work combining electrochemical and photonic sintering approaches to enable the fabrication of highly-conductive degradable metal tracks. We optimize the sintering parameters to obtain zinc resistors with a high temperature coefficient of resistance and a linear temperature response curve. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.

  • Files
  • Details
  • Metrics
File(s)
Loading...
Thumbnail Image
Name

README.md.txt

Type

Readme

Access type

openaccess

License Condition

CC BY

Size

4.4 KB

Format

Text

Checksum (MD5)

ef0ff4ea221ebae438b85c52ee481995

Loading...
Thumbnail Image
Name

README.pdf

Type

Readme

Access type

openaccess

License Condition

CC BY

Size

27.28 KB

Format

Adobe PDF

Checksum (MD5)

ecc4d9843324f0adb801ffebefd6d068

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés