Data Science and ML Approaches to Catalysis III: Electrochemical, Plasma-Enhanced, and Other Catalytic Systems | AIChE

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Data Science and ML Approaches to Catalysis III: Electrochemical, Plasma-Enhanced, and Other Catalytic Systems

Chair(s)

Co-chair(s)

Montemore, M., Tulane University

Presentations

3:30 PM
(389a) Understanding the Structure of the Electric Double Layer Using Machine-Learning Interatomic Potential Simulations
3:48 PM
(389b) Neural Networks Provide in-Depth Insights into Cation and Coverage Effects at (electro)Catalytic Interfaces
4:06 PM
(389c) Extending Wherewulff with Electric Field Effects
4:24 PM
(389d) Electrocatalytic Biomass Valorization: Efficient Strategies for Understanding Surface Coverage Effects
4:42 PM
(389e) Machine Learning of NO3- Reduction Reaction Steps Via Neat Surface D-Band Properties
5:00 PM
(389f) Advancing Non-Thermal Plasma Catalytic Material Design through Multiscale Simulation and Interpretable Machine Learning Integration
5:18 PM
(389g) Hierarchical Screening Aided By Machine Learning and Genetic Algorithm to Optimize Catalysts for Plasma-Assisted NH3 Synthesis
5:36 PM
(389h) Data Science Shows That Entropy Accelerates Zeolite Crystallization

Topics 

Catalysis

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AIChE Explorer Members $225.00
Non-Members $225.00

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