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Publications
Proceedings
2023 AIChE Annual Meeting
Nanoscale Science and Engineering Forum
Machine Learning for Nanomaterials for Energy Applications
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
Han, B.
,
Chun, H.
,
Hong, M.
03:50 PM
(159b) Modeling and Design of Single-Atom Alloy Catalysts for CO2 Hydrogenation Reactions
Andersen, M.
,
Cheula, R.
04:10 PM
(159c) Machine-Learning Driven Exploration of Catalytic Reaction Network
Stocker, S.
,
Jung, H.
,
Margraf, J. T.
,
Reuter, K.
04:30 PM
(159d) Generative AI for Materials Modeling
Zhou, F.
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
Allam, O.
,
Jang, S. S.
05:10 PM
(159f) Active Learning Exploration of Single Atom Active Sites for Oxygen Reduction and Evolution Reactions
Chun, H.
,
Han, B.
,
Gomez-Bombarelli, R.