Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities (2022)
Attributed to:
Strategic Priorities Fund - AI for Science, Engineering, Health and Government
funded by
SPF
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