Research Data Leeds Repository

Citation

Tinsley, Luke and Karipoth, Prakash and Chandler, James H. and Taccola, Silvia and Valdastri, Pietro and Harris, Russell (2025) High-Resolution Self-Assembly of Functional Materials and Microscale Devices via Selective Plasma Induced Surface Energy Programming Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1629

Dataset description

This repository contains the data used to create the figures in the associated publication (doi.org/10.1002/smll.202408822).

Keywords:	Atmospheric Plasma, Self-assembly, Flexible Electronics, Functional Materials, Microfabrication, Soft Robotics
Subjects:	H000 - Engineering > H300 - Mechanical engineering
Divisions:	Faculty of Arts, Humanities and Cultures > School of Design Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:	Location Type https://doi.org/10.1002/smll.202408822 Publication https://eprints.whiterose.ac.uk/221188/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 Jan 2025 13:59
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1365
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Tinsley, Luke https://orcid.org/0000-0002-0854-8674 University of Leeds https://ror.org/024mrxd33 ror Karipoth, Prakash https://orcid.org/0000-0002-7077-9983 University of Leeds https://ror.org/024mrxd33 ror Chandler, James H. https://orcid.org/0000-0001-9232-4966 University of Leeds https://ror.org/024mrxd33 ror Taccola, Silvia https://orcid.org/0000-0001-6959-5813 University of Leeds https://ror.org/024mrxd33 ror Valdastri, Pietro https://orcid.org/0000-0002-2280-5438 University of Leeds https://ror.org/024mrxd33 ror Harris, Russell https://orcid.org/0000-0002-3425-7969 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Engineering and Pysical Sciences Research Council Grant numbers: EP/P027687/1 and EP/V009818/1. Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: L.J.Tinsley@leeds.ac.uk Last Modified: 14 Jan 2025 14:11

Files

Documentation

ReadMe.txt [1kB] ReadMe.txt [1kB] ReadMe.txt [1kB] Security: Anyone File name: ReadMe.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Data for All Figures [1MB] Data for All Figures [1MB] Data for All Figures [1MB] Security: Anyone File name: Data.xlsx Content type: Data Description: This file contains the data for all of the figures related to the publication, including those found in the supplementary information Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB