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Perovskite Synthesizability using Graph Neural Networks
Perovskite is an important material type in geophysics and for technologically important applications. However, the number of synthetic …
Geun Ho Gu
,
Jidon Jang
,
Juhwan Noh
,
Aron Walsh
,
Yousung Jung
Last updated on Dec 29, 2025
DOI
Automated Exploitation of the Big Configuration Space of Large Adsorbates on Transition Metals Reveals Chemistry Feasibility
Mechanistic understanding of large molecule conversion and the discovery of suitable heterogeneous catalysts have been lagging due to …
Geun Ho Gu
,
Miriam Lee
,
Yousung Jung
,
Dionisios G. Vlachos
DOI
Automated Exploitation of the Big Configuration Space of Large Adsorbates on Transition Metals Reveals Chemistry Feasibility
Mechanistic understanding of large molecule conversion and the discovery of suitable heterogeneous catalysts have been lagging due to …
Geun Ho Gu
,
Miriam Lee
,
Yousung Jung
,
Dionisios G. Vlachos
Last updated on Dec 29, 2025
DOI
Bimetallic Gold–Silver Nanostructures Drive Low Overpotentials for Electrochemical Carbon Dioxide Reduction
Alloy formation is an advanced approach to improve desired properties that the monoelements cannot achieve. Alloys are usually designed …
Joon Woo Park
,
Woong Choi
,
Juhwan Noh
,
Woonghyeon Park
,
Geun Ho Gu
,
Jonghyeok Park
,
Yousung Jung
,
Hyunjoon Song
DOI
Bimetallic Gold–Silver Nanostructures Drive Low Overpotentials for Electrochemical Carbon Dioxide Reduction
Alloy formation is an advanced approach to improve desired properties that the monoelements cannot achieve. Alloys are usually designed …
Joon Woo Park
,
Woong Choi
,
Juhwan Noh
,
Woonghyeon Park
,
Geun Ho Gu
,
Jonghyeok Park
,
Yousung Jung
,
Hyunjoon Song
Last updated on Dec 29, 2025
DOI
Uncertainty Quantification and Error Propagation in the Enthalpy and Entropy of Surface Reactions Arising from a Single DFT Functional
Accounting for parametric uncertainty in models is essential for quantifying the models’ predictive ability. Recently, approaches have …
Gerhard R. Wittreich
,
Geun Ho Gu
,
Daniel J. Robinson
,
Markos A. Katsoulakis
,
Dionisios G. Vlachos
DOI
Uncertainty Quantification and Error Propagation in the Enthalpy and Entropy of Surface Reactions Arising from a Single DFT Functional
Accounting for parametric uncertainty in models is essential for quantifying the models’ predictive ability. Recently, approaches have …
Gerhard R. Wittreich
,
Geun Ho Gu
,
Daniel J. Robinson
,
Markos A. Katsoulakis
,
Dionisios G. Vlachos
Last updated on Dec 29, 2025
DOI
Understanding Potential-dependent Competition Between Electrocatalytic Dinitrogen and Proton Reduction Reactions
A key challenge to realizing practical electrochemical N2 reduction reaction (NRR) is the decrease in the NRR activity before reaching …
Changhyeok Choi
,
Geun Ho Gu
,
Juhwan Noh
,
Hyun S. Park
,
Yousung Jung
DOI
Understanding Potential-dependent Competition Between Electrocatalytic Dinitrogen and Proton Reduction Reactions
A key challenge to realizing practical electrochemical N2 reduction reaction (NRR) is the decrease in the NRR activity before reaching …
Changhyeok Choi
,
Geun Ho Gu
,
Juhwan Noh
,
Hyun S. Park
,
Yousung Jung
Last updated on Dec 29, 2025
DOI
Predicting Potentially Hazardous Chemical Reactions Using Explainable Neural Network
Predicting potentially dangerous chemical reactions is a critical task for laboratory safety. However, a traditional experimental …
Juhwan Kim
,
Geun Ho Gu
,
Juhwan Noh
,
Seongun Kim
,
Suji Gim
,
Jaesik Choi
,
Yousung Jung
DOI
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