Call For Papers: AI and Machine Learning in Chemical Engineering: Breakthroughs and Applications

This Special Issue aims to engage and inform the engineering community with high-quality content focusing on fundamental and applied breakthroughs powered by machine learning and artificial intelligence, development of hybrid methodologies (i.e., combining fundamental and ML modeling), and understanding the specifics of applying machine learning to ChemE systems, all broadly applied to the areas of:

• Thermodynamics
• Kinetics & Molecular Scale
• Reactors
• Plant-Level Systems (e.g. data reconciliation, etc.)

ACS Engineering Au is a gold open access journal publishing outstanding work from across the breadth of chemical engineering. ACS Engineering Au is part of the ACS Au suite of journals, launched in 2021, which meet the needs of researchers who choose to or are required by their funders to publish their work in a fully open access journal. This journal is Plan S compliant and indexed in the Directory of Open Access Journals.

Submissions can be Research Articles, Reviews, or Perspectives and must comply with the Scope of ACS Engineering Au as defined in the About the Journal Page and Author Guidelines. Each submission will be peer-reviewed in the usual manner. Upon acceptance, the paper will be published on a rolling basis in a regular issue of ACS Engineering Au with a label that it is a part of the Special Issue. Once all invited articles have appeared online, they will be collected into a Special Issue and promoted all together to provide the authors additional exposure.

Organizing Editors

Prof. Linda Broadbelt, Guest Editor
Northwestern University, United States

Prof. Matteo Maestri, Guest Editor
Politecnico di Milano, Italy

Prof. Pedro S.F. Mendes, Guest Editor
Instituto Superior Técnico – Universidade de Lisboa, Portugal

Submission Information

We welcome submissions for this Special Issue through November 1, 2025. Manuscripts should align with the principles outlined in the Author Guidelines for ACS Engineering Au and can be submitted using any of the manuscript types listed.

Papers accepted for publication for this Special Issue will be available ASAP (as soon as publishable) online. After all submissions have been published, they will then be compiled online on a dedicated landing page to form the Special Issue. Manuscripts submitted for consideration will undergo the full rigorous peer review process expected from ACS journals.

How to Submit

• Log in to the ACS Publishing Center.
• Select the “Journals” tab.
• Search for and choose ACS Engineering Au.
• Select your manuscript type, and, under "Special Issue Selection," choose “AI and Machine Learning in Chemical Engineering: Breakthroughs and Applications."

If you have any questions regarding submission to this Special Issue, please contact Prof. Linda Broadbelt (broadbelt-office@engineeringau.acs.org).