2024 AIChE Annual Meeting

Session: Machine Learning for Nanomaterials for Energy Applications

Machine Learning for Nanomaterials for Energy Applications

Co-Chairs

Byungchan Han, Yonsei University
Seung Soon Jang, Georgia Institute of Technology

Presentations

03:30 PM

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

03:50 PM

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

04:10 PM

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

04:30 PM

(607d) Accelerating Atomistic Simulation with Generative AI
Fei Zhou

04:50 PM

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

05:10 PM

(607f) Active Learning of Multimetalic Single Atoms Catalysts
Byungchan Han

05:30 PM

(607g) Lattice Oxygen Kinetics in Nanostructured Ceria: Combining Graph Neural Network Multi-Scale Simulations and in-Situ DRIFT Characterization
Seokhyun Choung, Myeong Gon Jang, Jeong Woo Han