Challenges in data-based reactor modeling: A critical analysis of purely 
data-driven and hybrid models for a CSTR case study

Peterson, Luisa; Bremer, Jens; Sundmacher, Kai

doi:10.1016/j.compchemeng.2024.108643

Local TagsRelease HistoryDetailsSummary

Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study

Peterson, L., Bremer, J., & Sundmacher, K. (2024). Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study. Computers & Chemical Engineering, 184: 108643. doi:10.1016/j.compchemeng.2024.108643.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-000F-14B0-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-14B2-1

Genre: Journal Article

Files

show Files

Locators

show

Creators

show

hide

Creators:
Peterson, Luisa¹, Author
Bremer, Jens², Author
Sundmacher, Kai^{1, 3}, Author

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2External Organizations, ou_persistent22
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

Content

show

Details

show

hide

Language(s): eng - English

Dates: Date issued: 2024

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.1016/j.compchemeng.2024.108643
Other: data:escidoc_3577529

Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show

hide

Title: Computers & Chemical Engineering

Source Genre: Journal

Creator(s):

Affiliations:

Publ. Info: -

Pages: - Volume / Issue: 184 Sequence Number: 108643 Start / End Page: - Identifier: ISSN: 00981354