Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ces.2021.117271

Publication URI: http://dx.doi.org/10.1016/j.ces.2021.117271

Type: Journal Article/Review

Parent Publication: Chemical Engineering Science