2023 AIChE Annual Meeting

Session: Advances in machine learning and intelligent systems I

Chair

Wen, M., University of Houston

Co-Chair

Tang, W., University of Minnesota

Presentations

03:30 PM

(95a) A Novel Approach for VOC Emission Characteristics Identification Based on Deep Learning and Its Application in Source Tracing of a Chemical Industrial Park

03:51 PM

(95b) Bayesian Optimization for Nonlinear Model and Force Field Calibration

04:12 PM

(95c) AI-Driven Hypergraph Network of Organic Chemistry: Applications in Reaction Classification

04:33 PM

(95d) Machine Learning Full Elastic Tensors of Inorganic Materials with Equivariant Neural Networks

04:54 PM

(95e) Automated Mechanism-Based Explanation Generation of Machine Learning Models

05:15 PM

(95f) Automating the Search for New Drugs: From Prediction to Characterization and Back Again

05:36 PM

(95g) A Compressed Sensing Framework for Learning Interpretable Molecular Property Models from Limited Data: Application to Discovery of Sustainable Battery Materials