1
Return

CompArt: Hybrid Artificial Intelligence–Compartmental modeling for transferable scale-up of multiphase reactors

delete2026-07-17
delete0
delete
OA
AI
A
Antonello Raponi *
Z
Zoltán K. Nagy
DOI：10.1016/j.ceja.2026.101365delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• AI-guided clustering preserves hydrodynamic history during scale-up. • Activation-aware CompArt captures delayed inter-compartment transport. • Direct field-level CFD-PBM/CompArt comparison reveals hotspots.
Keywords:
Crystallization
Smart manufacturing
Artificial intelligence
Compartmental models
Scale up
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Chemical Engineering Journal Advances cover
Chemical Engineering Journal Advances
IF:
7.1
Papers:
1.4K
Citations:
3.9K

Organization

P
Purdue University
Scholars:
2.6W
Papers: 2.0W
Citations: 147
Cited Papers

Cited Papers

Citing Papers

Citing Papers