Dataset of A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling

< Back to search results

Dataset of A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling

Description

Dataset associated with the research work titled: A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling
Show more

Year of publication

2025

Authors

University of Oulu

Mikroelektroniikka - Publisher

Sivagnana Sundaram Anandakrishnan Orcid -palvelun logo - Creator

Yang Bai Orcid -palvelun logo - Creator

Other information

Fields of science

Electronic, automation and communications engineering, electronics; Materials engineering

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Composite modelling, High-throughput manufacturing, Lichteneker model, Sustainable electronics, Yamada model

Subject headings

materials research
Dataset of A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling - Research.fi