Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.

This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing the energy consumption and optimizing the sensor positioning.

化工制图装置库 AutoCAD 插件：中文搜索 DWG 图例符号，快速插入阀门、法兰、泵、仪表、管件等化工绘图图块

CHEMON - 化工过程多智能体整体编排系统 | A multi-agent collaborative system for chemical process control

ProcGNN is a process-graph learning framework for stream-property prediction, developed at Network Science Lab @ CUK and implemented directly in PyTorch.

Empowering everyone to build reliable, efficient, and soon to be trademark free software.

AI-driven DWSIM automation and basic process package toolkit using Automation3, Python orchestration, bounded tuning, baseline freezing, and auditable exports.

Aplicação de conceitos da disciplina de Controle de Processos.

UnveilChem AI Chemical Software Automation Platform

[18] 8 sensors. 3 hidden drivers. ICA finds what PCA cannot.

[6] Score batch pH risk before synthesis begins.

[24] For 23 projects, the models observed. This one plans.