The IDAES Process Systems Engineering Framework
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Updated
Sep 27, 2024 - Python
The IDAES Process Systems Engineering Framework
Hands-on material for a Machine Learning in Chemical Engineering course
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
A numerical platform for the digital design of pharmaceutical processes
Datasets from a fluid catalytic cracking unit to evaluate FDD techniques
Catalogue of Articles, Projects, Papers and Resources relating to PSE
This provides the python-based simulated moving bed (SMB) optimizer developed by the Process Information Engineering lab at the Department of Materials Process Engineering, Nagoya University.
Data-driven computer-aided molecular and process design
Molecular design of solvents coupling variational autoencoder and nonlinear programming
Computer-aided molecular and process design using Bayesian optimization
P. Petsagkourakis, I. O. Sandoval, E. Bradford, D. Zhang, E.A. del Rio-Chanona, Reinforcement learning for batch bioprocess optimization, Computers & Chemical Engineering, Volume 133, 2020
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