cstr

The application of a Physics Informed Neural Network on modelling the parameters of a Continuously Stirred Tank Reactor, based on the data generated by a Simulink model.

This study explores using RL for CSTR control, assessing effectiveness vs. traditional controllers (PID, MPC). RL learns optimal behavior to maximize rewards, outperforming NMPC with exploration and lower computational load.

An interactive app for studying dynamic and multiple steady-state behavior of CSTR.

Simple models for simulating reactive flows

Python Library for Calculating Chemical Equilibrium and Simulate Reactors

Simulator gated AI fault diagnosis and action selection for chemical process control.

AI-powered CSTR simulator and multi-objective optimizer using surrogate neural networks (MLP, LSTM/GRU, CNN), NSGA-II, Dash, FastAPI and TensorFlow.

First-principles nonlinear CSTR model for exothermic reaction dynamics with MATLAB/Simulink PID control, actuator saturation, anti-windup, derivative filtering, disturbance rejection, controller comparison, and an Aspen Plus validation workflow.

PI temperature control of a non-isothermal CSTR using Python and Optuna

Ideal-reactor simulation engine (batch / CSTR / PFR) for arbitrary reaction networks, served as a FastAPI web API

BMP Monitor is a Python/Flask system for real-time monitoring and analysis of bench-scale CSTR biodigesters for BMP assays, with PID control, data storage, gas calculations, and support for simulation or ESP32/Arduino integration.