2023 AIChE Annual Meeting

Session: Machine Learning for Nanomaterials for Energy Applications

Chair

Han, B., Yonsei University

Co-Chair

Jang, S. S., Georgia Institute of Technology

Presentations

03:30 PM

(159a) Machine Learning Technique for Core Materials Design Toward Active Systems in Energy Storage and Conversion Reactions

03:50 PM

(159b) Modeling and Design of Single-Atom Alloy Catalysts for CO2 Hydrogenation Reactions

04:10 PM

(159c) Machine-Learning Driven Exploration of Catalytic Reaction Network

04:30 PM

(159d) Generative AI for Materials Modeling

04:50 PM

(159e) Accelerating the Discovery of Organic Electrode Materials for Li-Ion Batteries: An Integrated Approach Using DFT, Machine Learning, and High-Throughput Virtual Screening

05:10 PM

(159f) Active Learning Exploration of Single Atom Active Sites for Oxygen Reduction and Evolution Reactions