2024 AIChE Annual Meeting

Session: Machine Learning for Nanomaterials for Energy Applications

Machine Learning for Nanomaterials for Energy Applications

Co-Chairs

Han, B., Yonsei University
Jang, S. S., Georgia Institute of Technology

Presentations

03:30 PM

(607a) Combining Single-Crystal Oxides and First Principles Computations to Understand Electro and Photocatalysis on Oxides
Hautier, G.

03:50 PM

(607b) Combining Atomistic Simulation and Machine Learning to Establish High Throughput Yet Tunable Synthesis Strategies for Carbon-Based Nanomaterials
Lindsey, R.

04:10 PM

(607c) Digital-Twin Battery Modeling and Simulations for Next-Generation Batteries
Lee, Y.

04:30 PM

(607d) Accelerating Atomistic Simulation with Generative AI
Zhou, F.

04:50 PM

(607e) Transformer-Based Hybrid Modeling and Control of Evolving, Nonlinear Processes
Kwon, J.

05:10 PM

(607f) Active Learning of Multimetalic Single Atoms Catalysts
Han, B.

05:30 PM

(607g) Lattice Oxygen Kinetics in Nanostructured Ceria: Combining Graph Neural Network Multi-Scale Simulations and in-Situ DRIFT Characterization
Choung, S., Jang, M. G., Han, J. W.