Machine learning to empower electrohydrodynamic processing. (2022)

First Author: Wang F

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.msec.2021.112553

PubMed Identifier: 35148867

Publication URI: http://europepmc.org/abstract/MED/35148867

Type: Journal Article/Review

Volume: 132

Parent Publication: Materials science & engineering. C, Materials for biological applications

ISSN: 0928-4931