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Janghoon Ock
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Year
Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models
J Ock, C Guntuboina, A Barati Farimani
ACS Catalysis 13 (24), 16032-16044, 2023
7*2023
Beyond independent error assumptions in large GNN atomistic models
J Ock, T Tian, J Kitchin, Z Ulissi
The Journal of Chemical Physics 158 (21), 2023
72023
Acceleration of instability during the capillary thinning process due to the addition of particles to a poly (ethylene oxide) solution
JH Ock, JS Hong, KH Ahn
Journal of Non-Newtonian Fluid Mechanics 258, 58-68, 2018
42018
Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization
Z Cao, OB Farimani, J Ock, AB Farimani
Nano letters, 2024
22024
Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis
J Ock, R Magar, A Antony, AB Farimani
arXiv preprint arXiv:2401.07408, 2024
22024
GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation
J Ock, P Mollaei, A Barati Farimani
Journal of Chemical Theory and Computation, 2024
2024
Method of producing ethylene-carboxylic acid compolymer
HS Lee, SJ Kim, JH Park, MG Kim, JH Ock
US Patent 11,685,795, 2023
2023
Incorporation of Covariance of DFT Energy Ensembles into Gnn Models for the Trustworthy Catalyst Design Method
J Ock, T Tian, Z Ulissi
2022 AIChE Annual Meeting, 2022
2022
Transfer Learning of Graph Neural Networks As a General Approach to Accelerate Computational Catalysis Modeling
T Tian, A Kolluru, J Musielewicz, J Ock, Z Ulissi
2022 AIChE Annual Meeting, 2022
2022
Method for Producing Ethylene-Carboxylic Acid Copolymer
IH Song, HC Kim, JH Ock, JA Lee, WJ Jeong
US Patent App. 17/427,131, 2022
2022
Effect of poly (methyl methacrylate) particles on the initiation of instability in the capillary thinning of poly (ethylene oxide) solution
옥장훈
서울대학교 대학원, 2018
2018
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