2022 Annual Meeting

Session: Advances in Machine Learning and Intelligent Systems II

Chair

Zhang, Q., University of Minnesota

Co-Chair

Heo, S., Korea Advanced Institute of Science and Technology (KAIST)

Presentations

03:30 PM

(543a) A Multi-Fidelity, Physics-Informed Approach to Active Learning-Guided Experiment Design for the Study of Ammonia Synthesis Via Plasma Catalysis
Mesbah, A., Shao, K.

03:49 PM

(543b) A Data Reconciliation Methodology for Reduced Order Modeling of Process Systems
Chakraborty, A., Marathe, H., Venkatasubramanian, V.

04:08 PM

(543c) Improved Long-Short Term Memory Model for Dynamic and Multimodal Processes Based on K-Means Clustering: Application to an Industrial 2, 3-Bdo Distillation Process
Bhadriraju, B., Choi, Y., Lim, J., Cho, H., Moon, I., Kwon, J., Kim, J.

04:27 PM

(543d) Computer-Aided Fuel Design with Generative Graph Machine Learning
Rittig, J. G., Ritzert, M., Schweidtmann, A. M., Winkler, S., Weber, J. M., Morsch, P., Heufer, K. A., Grohe, M., Mitsos, A., Dahmen, M.

04:46 PM

(543e) Simultaneous Hybrid Modeling of Distillation Towers with a Linear Correction Model for Different Tower Operations
Mhaskar, P., Mahalec, V., Rodriguez, C.

05:05 PM

(543f) Offset-Free Deep Deterministic Policy Gradient with Lyapunov Learning Penalties
Hedrick, E., Hedrick, K., Bhattacharyya, D., Zitney, S., Omell, B. P.

05:24 PM

(543g) Premexotac: Bitterants in-Silico Screening Using Machine Learning for Advanced Pharmaceutical Development
De León, G., Fröhlich, E., Salar-Behzadi, S.

05:43 PM

(543h) On-Line Learning in Model Predictive Control of Nonlinear Processes: Generalization Guarantees and Stability Analysis
Hu, C., Wu, Z.