2022 Annual Meeting

Area: Applications of Data Science to Molecules and Materials

Chair

Johannes Hachmann, University at Buffalo, SUNY

Sessions sponsored

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

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