Seoin Back

发表

Multi-Task Machine Learning to Predict ORR Catalyst Descriptors and Performance across Surface Composition

Aini Palizhati, Seoin Back, Kevin Tran, 2019 .

Towards Predicting Intermetallics Surface Properties with High-Throughput DFT and Convolutional Neural Networks.

Aini Palizhati, Seoin Back, Zachary W. Ulissi, 2019, Journal of chemical information and modeling.

Improved reversibility in lithium-oxygen battery: Understanding elementary reactions and surface charge engineering of metal alloy catalyst

Seoin Back, Hyung-Jin Kim, Young-Kyu Han, 2014, Scientific Reports.

Graph Convolutional Machine Learning Methods for the Predictions of Adsorption and Thermochemistry and Surface Stability

Wen Zhong, Aini Palizhati, Seoin Back, 2019 .

Dynamic Workflows for Routine Materials Discovery in Surface Science

Aini Palizhati, Seoin Back, Zachary W. Ulissi, 2018, J. Chem. Inf. Model..

Atomic Structure-Free Representation of Active Motifs for Expedited Catalyst Discovery

Seoin Back, Mok Dh, Dong Hyeon Mok, 2021, J. Chem. Inf. Model..

Atomic Structure-Free Representation of Active Motifs for Expedited Catalyst Discovery

Seoin Back, Dong Hyeon Mok, 2021, J. Chem. Inf. Model..

ZnO As an Active and Selective Catalyst for Electrochemical Water Oxidation to Hydrogen Peroxide

Seoin Back, Xiaolin Zheng, Samira Siahrostami, 2019, ACS Catalysis.

TiC- and TiN-Supported Single-Atom Catalysts for Dramatic Improvements in CO2 Electrochemical Reduction to CH4

Seoin Back, Yousung Jung, S. Back, 2017 .

Toward a Design of Active Oxygen Evolution Catalysts: Insights from Automated Density Functional Theory Calculations and Machine Learning

Seoin Back, Kevin Tran, Zachary W. Ulissi, 2019, ACS Catalysis.

Highly selective oxygen reduction to hydrogen peroxide on transition metal single atom coordination

Yongfeng Hu, Seoin Back, Jens K Nørskov, 2019, Nature Communications.

Convolutional Neural Network of Atomic Surface structures to Predict Binding Energies For High-throughput Screening of Catalysts.

Seoin Back, Kevin Tran, Zachary W. Ulissi, 2019, The journal of physical chemistry letters.

Catalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions

Seoin Back, Juhwan Noh, Yousung Jung, 2017 .

Active learning with non-ab initio input features toward efficient CO2 reduction catalysts† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc03422a

Seoin Back, Juhwan Noh, Yousung Jung, 2018, Chemical science.

Selective Heterogeneous CO2 Electroreduction to Methanol

Seoin Back, Heejin Kim, Yousung Jung, 2015 .