Welcome to the Computational Laboratory for Advanced Manufacturing and Sustainability (CLAMS).

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School of Chemical Engineering
420 Engineering North
Oklahoma State University
Stillwater, OK 74074-5016 USA

We are part of School of Chemical Engineering at Oklahoma State University (Go Pokes!), led by Prof. Zheyu Jiang. At CLAMS, we develop advanced computational theories, methods, and tools, as well as systems-oriented solutions and insights to address some of the greatest challenges of our times, such as in Industrial Decarbonization, Agrochemical and Pharmaceutical Manufacturing, Digital Agriculture, and Sustainability.

Feel free to talk to us or follow us on social media if you are interested in what we do. For perspective students interested in joining CLAMS, please check here for any open positions and instructions to apply.

news

Mar 2024 Prof. Jiang’s paper is among the top 10% downloaded AIChE Journal articles in 2023. This work was published in AIChE Journal’s 2022 Futures Issue, which features “creative early career researchers in chemical engineering”.
Mar 2024 A preprint on physics-constrained active learning for soil moisture estimation and optimal sensor placement is available here. This is a collaborative work with Prof. Bing Yao from University of Tennessee, Knoxville and Prof. Jianxin Xie from University of Virginia.
Mar 2024 We are excited to have Fangyuan Ma, a PhD student from Beijing University of Chemical Technology, join CLAMS as a visiting scholar. Fangyuan will work with the team over the next 6 months to develop novel fault diagnosis algorithms for industrial process monitoring. Welcome, Fangyuan!
Feb 2024 Invited and hosted by Prof. Cory Simon, Dr. Jiang visited the School of Chemical, Biological, and Environmental Engineering at Oregon State University and gave a seminar talk.
Jan 2024 In collaboration with Dr. Tony Cai, Chief Scientist at Fractionation Research Inc. (FRI), Dr. Jiang’s team received a two-year, $136,000 research funding from Oklahoma Center for the Advancement of Science and Technology to develop and prototype the real-time process monitoring and fault diagnosis framework to decarbonize industrial distillation processes.