The IDAES Process Systems Engineering Framework

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

Molecular design of solvents coupling variational autoencoder and nonlinear programming

Data-driven computer-aided molecular and process design

This is my first project of the course "Plant Design and Economics" that I managed to get full marks on my 4th year of bachelor's chemical engineering program at sharif university of technology.

This is my second project of the course "Plant Design and Economics" that I managed to get full marks on my 4th year of bachelor's chemical engineering program at sharif university of technology.

This is my final project of the course "Plant Design and Economics" that I managed to get full marks on my 4th year of bachelor's chemical engineering program at sharif university of technology.

A numerical platform for the digital design of pharmaceutical processes

Catalogue of Articles, Projects, Papers and Resources relating to PSE

Datasets from a fluid catalytic cracking unit to evaluate FDD techniques

Hands-on material for a Machine Learning in Chemical Engineering course

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

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.