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Two-dimensional membranes with precisely controlled graphitic nanoconduits for ultrafast water vapour transport
Graphene oxide (GO) has emerged as a prominent membrane material due to its potential for precise gas and liquid separations enabled by …
Seung Yeon Yoo, Inho Park, Jae Eun Shin, Jiwoo Jang, Hyeok Jin Kwon, Marcel Núñez, Geun Ho Gu, Hyo Won Kim, Ho Bum Park
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Two-dimensional membranes with precisely controlled graphitic nanoconduits for ultrafast water vapour transport
Machine Learning High-Throughput Screening of Double Perovskites for Enhanced Acidic Oxygen Evolution
In response to growing demand for cost-effective, highly active, and stable catalysts for the electrocatalytic oxygen evolution …
Dong Hyeon Mok, Jaehyoung Lim, Hyunju Chang, Jungho Shin, Jiwoo Jang, Uk Sim, Geun Ho Gu, Seoin Back
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Machine Learning High-Throughput Screening of Double Perovskites for Enhanced Acidic Oxygen Evolution
Stabilizing metastable 1T MoS2 via electrochemical proton intercalation for hydrogen evolution reaction
Hydrogen evolution reaction (HER) is currently the most efficient industrial method for producing clean, nontoxic, and environmentally …
Jyoti Ganapati Badiger, Sathya Sheela Subramanian, Maheswari Arunachalam, Rohini Subhash Kanase, Suzan Abdelfattah Sayed, Geun Ho Gu, Soon Hyung Kang
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Stabilizing metastable 1T MoS2 via electrochemical proton intercalation for hydrogen evolution reaction
Elucidating Conductivity and Nitriding Resiliency in (Al/H)-ZnO Coatings for NH3-Fueled SOFC Separators via SEM-EDX and MLP-DFT Protocols
NH3 fuel-based SOFCs can overcome the inefficiencies of other hydrogen sources, but NH3 deteriorates solid oxide fuel cell (SOFC) …
Matthew T. Curnan, Kyung Chan Min, Joon Hyung Shim, Geun Ho Gu
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Elucidating Conductivity and Nitriding Resiliency in (Al/H)-ZnO Coatings for NH3-Fueled SOFC Separators via SEM-EDX and MLP-DFT Protocols
Cu–Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and in Situ TEM Study
The development of accurate methods for determining how alloy surfaces spontaneously restructure under reactive and corrosive …
Pandu Wisesa, Meng Li, Matthew T. Curnan, Geun Ho Gu, Jeong Woo Han, Judith C. Yang, Wissam A. Saidi*
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Cu–Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and in Situ TEM Study
Machine-Learning-Enabled Thermochemistry Estimator
Modeling adsorbates on single-crystal metals is critical in rational catalyst design and other research that requires detailed …
Tianjun Xie, Gerhard R. Wittreich, Matthew T. Curnan, Geun Ho Gu, Kayla N. Seals, Justin S. Tolbert
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Machine-Learning-Enabled Thermochemistry Estimator
Integrated electrocatalytic synthesis of ammonium nitrate from dilute NO gas on metal organic frameworks-modified gas diffusion electrodes
The electrocatalytic conversion of NO offers a promising technology for not only removing the air pollutant but also synthesizing …
Donglai Pan, Muthu Austeria P, Shinbi Lee, Ho-sub Bae, Fei He, Geun Ho Gu, Wonyong Choi
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Integrated electrocatalytic synthesis of ammonium nitrate from dilute NO gas on metal organic frameworks-modified gas diffusion electrodes
Reaction Templates: Bridging Synthesis Knowledge and Artificial Intelligence
Conspectus The field of chemical research boasts a long history of developing software to automate synthesis planning and reaction …
Shuan Chen, Juhwan Noh, Jidon Jang, Seongmin Kim, Geun Ho Gu, Yousung Jung
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Reaction Templates: Bridging Synthesis Knowledge and Artificial Intelligence
Surface Area‐Enhanced Cerium and Sulfur‐Modified Hierarchical Bismuth Oxide Nanosheets for Electrochemical Carbon Dioxide Reduction to Formate
Electrochemical carbon dioxide reduction reaction (ECO2RR) is a promising approach to synthesize fuels and value-added chemical …
Naveenkumar Palanimuthu, Mohan Raj Subramaniam, Muthu Austeria P, Preetam Kumar Sharma, Vinoth Ramalingam, Karthik Peramaiah, Shanmugam Ramakrishnan, Geun Ho Gu, Eileen Hao Yu, Dong Jin Yoo*
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Surface Area‐Enhanced Cerium and Sulfur‐Modified Hierarchical Bismuth Oxide Nanosheets for Electrochemical Carbon Dioxide Reduction to Formate
Synthesizability of materials stoichiometry using semi-supervised learning
Synthesis of new inorganic phases relies on expert intuitions, laborious syntheses, and serendipity. Here, we propose a data-driven …
Jidon Jang, Juhwan Noh, Lan Zhou, Geun Ho Gu, John M. Gregoire, Yousung Jung
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Synthesizability of materials stoichiometry using semi-supervised learning