Applications of Data Science to Molecules and Materials

Chair(s)

Hachmann, J., University at Buffalo, SUNY

Sessions sponsored

Applications of Data Science in Molecular Sciences I

Sponsored by:

Applications of Data Science to Molecules and Materials

Applications of Data Science to High Throughput Experimentation

Sponsored by:

Applications of Data Science to Molecules and Materials

Innovations in Methods of Data Science

Sponsored by:

Applications of Data Science to Molecules and Materials

Topical Roundtable: Community Building in Molecular and Materials Data Science

Sponsored by:

Applications of Data Science to Molecules and Materials

Applications of Data Science in Catalysis and Reaction Engineering

Sponsored by:

Applications of Data Science to Molecules and Materials

Applications of Data Science in Molecular Sciences II

Sponsored by:

Applications of Data Science to Molecules and Materials

Sessions co-sponsored

Fundamentals, Big Data, Machine Learning and High-throughput screening for Bioseparations

Sponsored by:

Bio Separations

Co-sponsored by:

Systems and Process Control

Process Development

Applications of Data Science to Molecules and Materials

Data Science & Machine Learning Approaches to Catalysis I: Interpretable and Theory-Guided Machine Learning For Catalysis Design and Understanding

Sponsored by:

Catalysis

Co-sponsored by:

Computational Molecular Science and Engineering Forum

Applications of Data Science to Molecules and Materials

Data Science & Machine Learning Approaches to Catalysis II: AI-Accelerated Modeling of Catalysts and Materials

Sponsored by:

Catalysis

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data Science & Machine Learning Approaches to Catalysis III: Applications of Machine Learning to Heterogeneous Catalysis: From Porous Materials to Cluster Catalysis

Sponsored by:

Catalysis

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Machine Learning in Materials Discovery

Sponsored by:

Material Interfaces as Energy Solutions

Co-sponsored by:

Materials Engineering and Sciences Division

Applications of Data Science to Molecules and Materials

Data-Driven/Machine Learning-Enabled Design for Nanocomposites

Sponsored by:

Composites

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Machine Learning for Soft Materials I

Sponsored by:

Computational Molecular Science and Engineering Forum

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Machine Learning for Soft Materials II

Sponsored by:

Computational Molecular Science and Engineering Forum

Co-sponsored by:

Thermodynamics and Transport Properties

Applications of Data Science to Molecules and Materials

Accelerated Discovery of Inorganic Materials: High-Throughput Experiments, Modeling, and Data Science

Sponsored by:

Inorganic Materials

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Molecular and Data Science Modeling of Adsorption I

Sponsored by:

Adsorption and Ion Exchange

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Molecular and Data Science Modeling of Adsorption II

Sponsored by:

Adsorption and Ion Exchange

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Computing and Data Science in ChE Education

Sponsored by:

Undergraduate Education

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Big Data and Machine Learning to Advance Medicine

Sponsored by:

Chemical Engineers in Medicine

Co-sponsored by:

Food, Pharmaceutical & Bioengineering Division

Applications of Data Science to Molecules and Materials

Big Data and Analytics for Sustainability

Sponsored by:

Sustainability Science and Engineering

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data Science in Complex Fluids and Complex Flows

Sponsored by:

Fluid Mechanics

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data Science/Analytics for Process Applications

Sponsored by:

Information Management and Intelligent Systems

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Advances in Machine Learning and Intelligent Systems I

Sponsored by:

Information Management and Intelligent Systems

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Advances in Machine Learning and Intelligent Systems II

Sponsored by:

Information Management and Intelligent Systems

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data-driven optimization

Sponsored by:

Information Management and Intelligent Systems

Co-sponsored by:

Systems and Process Operations

Applications of Data Science to Molecules and Materials

Data-Driven and Hybrid Modeling for Decision Making

Sponsored by:

Information Management and Intelligent Systems

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data-Driven Dynamic Modeling, Estimation and Control I

Sponsored by:

Systems and Process Control

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data-Driven Dynamic Modeling, Estimation and Control III

Sponsored by:

Systems and Process Control

Co-sponsored by:

Applications of Data Science to Molecules and Materials

Data-Driven Dynamic Modeling, Estimation and Control II

Sponsored by:

Systems and Process Control

Co-sponsored by:

Applications of Data Science to Molecules and Materials

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AIChE Graduate Student Members	Free
AIChE Undergraduate Student Members	Free
AIChE Explorer Members	$225.00
Non-Members	$225.00