Seoin Back

Affiliations: 
2013-2017 Energy, Environment, Water and Sustainability Korea Advanced Institute of Science and Technology, Daejeon, South Korea 
 2017-2018 Chemical Engineering Stanford University, Palo Alto, CA 
 2018-2020 Chemical Engineering Carnegie Mellon University, Pittsburgh, PA 
 2020- Chemical Engineering Sogang University, Seoul, Seoul, South Korea 
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"Seoin Back"

Parents

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Yousung Jung grad student 2017 KAIST (Chemistry Tree)
 (First Principles Studies on CO2 Electroreduction Reaction)
Jens K. Nørskov post-doc 2017-2018 Stanford (Physics Tree)
Zachary W. Ulissi post-doc 2018-2020 Carnegie Mellon
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Publications

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Kim J, Ko W, Yoo JM, et al. (2021) Structural Insights into Multi-Metal Spinel Oxide Nanoparticles for Boosting Oxygen Reduction Electrocatalysis. Advanced Materials (Deerfield Beach, Fla.). e2107868
Mok DH, Back S. (2021) Atomic Structure-Free Representation of Active Motifs for Expedited Catalyst Discovery. Journal of Chemical Information and Modeling
Back S, Na J, Tran K, et al. (2020) discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation. Physical Chemistry Chemical Physics : Pccp
Back S, Tran K, Ulissi ZW. (2020) Discovery of Acid-Stable Oxygen Evolution Catalysts: High-Throughput Computational Screening of Equimolar Bimetallic Oxides. Acs Applied Materials & Interfaces
Cichocka MO, Liang Z, Feng D, et al. (2020) A Porphyrinic Zirconium Metal-Organic Framework for Oxygen Reduction Reaction: Tailoring the Spacing between Active-Sites through Chain-Based Inorganic Building Units. Journal of the American Chemical Society
Gu GH, Noh J, Kim S, et al. (2020) Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening. The Journal of Physical Chemistry Letters
Palizhati A, Zhong W, Tran K, et al. (2019) Towards Predicting Intermetallics Surface Properties with High-Throughput DFT and Convolutional Neural Networks. Journal of Chemical Information and Modeling
Jiang K, Back S, Akey AJ, et al. (2019) Highly selective oxygen reduction to hydrogen peroxide on transition metal single atom coordination. Nature Communications. 10: 3997
Back S, Yoon J, Tian N, et al. (2019) Convolutional Neural Network of Atomic Surface structures to Predict Binding Energies For High-throughput Screening of Catalysts. The Journal of Physical Chemistry Letters
Kreider ME, Gallo A, Back S, et al. (2019) Precious Metal-Free Nickel Nitride Catalyst for the Oxygen Reduction Reaction. Acs Applied Materials & Interfaces
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