A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
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Updated
Aug 24, 2023 - Python
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A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
Data-driven computer-aided molecular and process design
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
Advanced Chemical Process Simulation and Optimisation Framework. Overview: This enhanced project provides a sophisticated framework for simulating and optimising chemical processes.
Computer-aided molecular and process design using Bayesian optimization
Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀
This repository contains Python codes applied to Chemical Engineering, focusing on Numerical Methods, Thermodynamics, Process Optimization, Transport Phenomena, and other areas within chemical process engineering.
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