2020​​

​

• Dias, L., Ierapetritou, M., 110th Anniversary: Integration of Scheduling and Robust Model Predictive Control. Industrial & Engineering Chemistry Research, 59(1), 265-280, 2020, DOI: 10.1021/acs.iecr.9b02545. 

• Bhosekar, A., Ierapetritou, M., Modular Design Optimization using Machine Learning-based Flexibility Analysis. Journal of Process Control, 90, 18-34, 2020, https://doi.org/10.1016/j.jprocont.2020.03.014.

• Bhalode, P., Ierapetritou, M., Discrete element modeling for continuous powder feeding operation: Calibration and system analyses. International Journal of Pharmaceutics, 585, 2020, https://doi.org/10.1016/j.ijpharm.2020.119427.

• Ebikade, E., Athaley, A., Fisher, B., Yang, K., Wu, C., Ierapetritou, M., Vlachos, D., The Future is Garbage: Repurposing of Food Waste to an Integrated Biorefinery. ACS Sustainable Chemistry & Engineering, 8(22), 8124–8136, 2020, https://doi.org/10.1021/acssuschemeng.9b07479.

• Bhalode, P., Ierapetritou, M., A review of existing mixing indices in solid-based continuous blending operations, Powder Technology, 2020. https://doi.org/10.1016/j.powtec.2020.06.043 

• Chen, Y., Ierapetritou, M., A framework of hybrid model development with identification of plant‐model mismatch. AIChE Journal, 2020. https://doi.org/10.1002/aic.16996

• Metta, N., Ierapetritou, M., A Computationally Efficient Surrogate-Based Reduction of a Multiscale Comill Process Model, Journal of Pharmaceutical Innovation, 2020, https://doi.org/10.1007/s12247-019-09388-2

• Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachandran, R., Ierapetritou, M., Digital Twins in Pharmaceutical and Biopharmaceutical Manufacturing: A Literature Review, Processes, 2020, doi:10.3390/pr8091088

• Furukawa, R., Singh, R., Ierapetritou, M. Effect of Material Properties on the Residence Time Distribution (RTD) of a Tablet Press Feed Frame. International Journal of Pharmaceutics, 2020, https://doi.org/10.1016/j.ijpharm.2020.119961

• Metta, N., Ramachandran, R., Ierapetritou, M., ​A novel adaptive sampling based methodology for feasible region identification of compute intensive models using artificial neural network. AIChE Journal, 2020, https://doi.org/10.1002/aic.17095

• Huang, J., Connor, T., Ahmed, K., Chatterjee, S., Garvin, C., Ghosh, K., Ierapetritou, M., Jeffers, M., Pla, L.D., Lee,S., Lovett, D., Lyngberg,O., Mack, J., McManus, E.,  Romero-Torres, S., Undey, C., Venkatasubramanian, V, Warman, M., AIChE PD2M Advanced Process Control (APC) Workshop -Moving APC Forward in the Pharmaceutical Industry, Journal of Advanced Manufacturing and Processing, 2020, 10.1002/amp2.10071

• Yuqing, L., Ierapetritou, M., Comparison between Different Hybrid Life Cycle Assessment Methodologies: A Review and Case Study of Biomass-based pXylene Production. IECR, 2020, https://doi.org/10.1021/acs.iecr.0c04709