Paper appears on “Thermoeconomic Analysis of sCO2 Power Cycles,” in AIChE Journal, 2024, by Chen, D., J. P. O’Connell, and W. D. Seider
Paper appears on “Path-Sampling and Machine Learning for Rare Abnormal Events: Application to Polymerization CSTRs,” in Chem. Eng. Sci., 2024 by Sudarshan, V., W. D. Seider, A. J. Patel, U. G. Oktem, and J. E. Arbogast,;
Paper appears on “Convolutional Neural Network Augmented Soft-Sensor for Autonomous Microfluidic Production of Uniform Bubbles,” in Chem. Eng. Journal, 499, 2024, by Land, O. D., W. D. Seider, and D. Lee,
Paper appears on “Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-Event Prediction in Chemical Processes.,” in Comput. Chem. Eng. 2024, by Sudarshan, V., and W. D. Seider,
Product and Process Design Principles, 4th Ed., Wiley, 2017 – W.D. Seider, D.R. Lewin, J.D. Seader, S. Widagdo, R. Gani, and K.M. Ng.
Supplements added to VitalSource E-book in July 2019