Work

Using Machine-Learning-Aided Computational Fluid Dynamics to Facilitate Design of Experiments

Year: 2024

Type: article

Source: Industrial & Engineering Chemistry Research

DOI: 10.1021/acs.iecr.4c03042

Authors: Ziqing Zhao, Amanda Baumann, Emily M. Ryan

Institution: Boston University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Office of Science, Division of Chemical, Bioengineering, Environmental, and Transport Systems, Division of Equity for Excellence in STEM

Awards: G2970199343, HIGH-EFFICIENCY POST COMBUSTION CARBON CAPTURE SYSTEM, G4430699718

OpenAlex ID: W4404718496

FWCI: 1.04

Cites: 31

Cited by: 11

Related to: 10