2022 Annual Meeting

Area: Applications of Data Science to Molecules and Materials

Chair

Hachmann, J., University at Buffalo, SUNY

Sessions sponsored

Applications of Data Science in Catalysis and Reaction Engineering
Applications of Data Science in Molecular Sciences I
Applications of Data Science in Molecular Sciences II
Applications of Data Science to High Throughput Experimentation
Innovations in Methods of Data Science

Sessions co-sponsored

Accelerated Discovery of Inorganic Materials: High-Throughput Experiments, Modeling, and Data Science
Advances in Machine Learning and Intelligent Systems I
Advances in Machine Learning and Intelligent Systems II
Big Data and Analytics for Sustainability
Big Data and Machine Learning to Advance Medicine
Computing and Data Science in ChE Education
Data Science & Machine Learning Approaches to Catalysis I: Interpretable and Theory-Guided Machine Learning For Catalysis Design and Understanding
Data Science & Machine Learning Approaches to Catalysis II: AI-Accelerated Modeling of Catalysts and Materials
Data Science & Machine Learning Approaches to Catalysis III: Applications of Machine Learning to Heterogeneous Catalysis: From Porous Materials to Cluster Catalysis
Data Science in Complex Fluids and Complex Flows
Data Science/Analytics for Process Applications
Data-Driven and Hybrid Modeling for Decision Making
Data-Driven Dynamic Modeling, Estimation and Control I
Data-Driven Dynamic Modeling, Estimation and Control II
Data-Driven Dynamic Modeling, Estimation and Control III
Data-driven optimization
Data-Driven/Machine Learning-Enabled Design for Nanocomposites
Fundamentals, Big Data, Machine Learning and High-throughput screening for Bioseparations
Machine Learning for Soft Materials I
Machine Learning for Soft Materials II
Machine Learning in Materials Discovery
Molecular and Data Science Modeling of Adsorption I
Molecular and Data Science Modeling of Adsorption II