Applications of Data Science in Molecular Sciences II | AIChE

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Applications of Data Science in Molecular Sciences II

Chair(s)

Ferguson, A., University of Chicago

Co-chair(s)

Hachmann, J., University at Buffalo, SUNY
White, A., University of Rochester

TBD

Presentations

8:00 AM
(356a) Shifting Paradigms: Using Molecular Dynamics with Machine Learning for the Calculation of Thermodynamic Properties of Fluids
8:15 AM
(356b) Combining Molecular Dynamics and Machine Learning to Predict Interfacial Properties
8:30 AM
(356c) Data Science Based Electrolyte Design for Organic Redox Flow Batteries
8:45 AM
(356d) Development of an Artificial Neural Network Model to Predict Electrical Conductivity of Pure Ionic Liquids and Ionic Liquid-Ionic Liquid Mixtures
9:15 AM
(356f) Incorporating Long-Range Interactions in Machine Learning Models of Water and Aqueous Electrolyte Solutions
9:30 AM
(356g) Fully Convolutional Neural Network Models for Materials Science Applications
9:45 AM
(356h) Deep Learning for Characterizing and Modeling the Dynamics of Complex Colloidal Self-Assembly Systems
10:00 AM
(356i) AI Based Analysis for Graphene Synthesis - from Size Measurement to SEM Image Generation
10:15 AM
(356j) Infrared Spectra Prediction with Machine Learning
10:30 AM
(356k) Optimization of Thermal Conductivity at Interfaces Using Learning Algorithms

Topics 

Computational Molecular Engineering

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Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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