Python-based Process Operability Package

Physics-Informed Neural networks for Advanced modeling

DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.

GCI (Grid Convergence Index) Analysis APP

Data Explorer - Profile Report and EDA App

Easy Keras MLP

Easy DOE

ChemDesign: DWSIM Experiment Toolkit

Pasta de Estudos do MiT

This repository contains exercises that demonstrate how to automate these unit operations using DWSim. These exercises include code examples, tutorials, and documentation on how to implement automa…

A toolkit with data-driven pipelines for physics-informed machine learning.

Modeling in Chemical Technology: Numerical Calculations with Python

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.