Transforming Chemical Industry With Advanced Technologies
*Corresponding Author:Received Date: Sep 01, 2025 / Accepted Date: Sep 29, 2025 / Published Date: Sep 29, 2025
Citation: Brandt L (2025) Transforming Chemical Industry With Advanced Technologies. Ind Chem 11: 368.DOI: 10.4172/2469-9764.1000368
Copyright: © 2025 Lukas Brandt This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation of research highlights advancements in chemical process control driven by automation and artificial intelligence.
Papers cover topics such as AI-driven optimization of chemical reactions, machine learning for petrochemical processes, digital twins
for enhanced manufacturing, and the role of IoT and advanced sensors in process monitoring. Additionally, research explores model
predictive control for energy efficiency, robotics in laboratory automation, deep learning for fault detection, cybersecurity challenges
in automated systems, fuzzy logic control for reactors, and the impact of batch process automation on product quality and flexibility.
