Interactive human-machine learning framework for modelling of ferroelectric-dielectric composites (2020)
Attributed to:
Adaptive Tools for Electromagnetics and Materials Modelling to Bridge the Gap between Design and Manufacturing (AOTOMAT)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1039/c9tc06073a
Publication URI: http://dx.doi.org/10.1039/c9tc06073a
Type: Journal Article/Review
Parent Publication: Journal of Materials Chemistry C
Issue: 30