Seoin Back

Assistant Professor

Sogang University

South Korea

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Dr. Seoin Back is an Assistant Professor at Sogang University in South Korea. His research focuses on advanced materials and catalysis, exemplified by recent articles exploring lithiophilic interlayers for lithium metal anodes, the electrocatalytic performance of platinum-palladium-iron alloys, and the application of AI in chemical science. Dr. Back's work also includes significant contributions to the development of electrolytes for high-voltage batteries and enhanced oxygen evolution reaction electrodes.

Articles (20)

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2025

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2020

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2020

Collaborators (11)

Jungki Ryu

Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Jonggeol Na

Ewha Womans University

SOUTH KOREA

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Ganna Gryn'ova

Associate Professor of Computational Chemistry

University of Birmingham

UNITED KINGDOM

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Sang-Mun Jung

Pohang University of Science and Technology

SOUTH KOREA

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Jason Hein

Adjunct Professor

University of Bergen

NORWAY

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Tejs Vegge

Professor at Technical University of Denmark

Technical University of Denmark

DENMARK

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Segeun Jang

assistant professor

Kookmin University

SOUTH KOREA

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Hyun Dong Jung

Sogang University

SOUTH KOREA

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Kedar Hippalgaonkar

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Seung Yeop Yi

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Heejin Kim

Korea Basic Science Institute

SOUTH KOREA

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Seoin Back

Research Interests

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About

Articles (20)

Ultrathin, Layer‐by‐Layer Assembled Lithiophilic Interlayers for Dendritic Growth‐Suppressed Lithium Metal Anodes

Magnetocrystalline Anisotropic Platinum–Palladium–Iron Ternary Intermetallic Alloy for Enhanced Fuel Cell Electrocatalysis

Dual‐Ionic Weakly Solvating Electrolyte Design Enables Efficient Fast‐Cycling of High‐Voltage Anion Shuttle Batteries

Enhanced Cuproptosis via Metabolic Reprogramming Using Copper-Delivering Co–N–C Single-Atom Nanozyme

Enhanced FeIV═O Generation via Peroxymonosulfate Activation by an Edge‐Site Engineered Single‐Atom Iron Catalyst

Highly Active and Stable Al-Doped NiFe Self-Supported Oxygen Evolution Reaction Electrode for Alkaline Water Electrolysis

Accelerated chemical science with AI

Generative Pretrained Transformer for Heterogeneous Catalysts

Cobalt Nitride-Implanted PtCo Intermetallic Nanocatalysts for Ultrahigh Fuel Cell Cathode Performance

Molecular level insights on the pulsed electrochemical CO2 reduction

Insight into Defect Engineering of Atomically Dispersed Iron Electrocatalysts for High‐Performance Proton Exchange Membrane Fuel Cell

Direction-Based Graph Representation to Accelerate Stable Catalyst Discovery

Tailoring molecular structures of UiO-66-NH2 for high performance H2O/N2 separation membranes: A synergistic effect of hydrophilic modification and defect engineering

A chemically inspired convolutional neural network using electronic structure representation

Catalytic activity trends of pyrite transition metal dichalcogenides for oxygen reduction and evolution

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

Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening

Tailoring selective pores of carbon molecular sieve membranes towards enhanced N2/CH4 separation efficiency

Discovery of Acid-Stable Oxygen Evolution Catalysts: High-Throughput Computational Screening of Equimolar Bimetallic Oxides

Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening

Collaborators (11)

Jungki Ryu

Jonggeol Na

Ganna Gryn'ova

Sang-Mun Jung

Jason Hein

Tejs Vegge

Segeun Jang

Hyun Dong Jung

Kedar Hippalgaonkar

Seung Yeop Yi

Heejin Kim

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