Chang Woo Myung

Synergistic Fe–Si Dual-Site Pathway Engineering in Biomass- derived Carbon Matrix for High-Performance Oxygen Reduction Reaction

Carbon Energy · IF 24.2 · Q = 2.90%

Accelerating Materials Discovery Through Sparse Gaussian Process Machine Learning Potentials

Accounts of Chemical Research · IF 17.7 · Q = 5.86%

Exploring Direct Electrochemical Fischer–Tropsch Chemistry of C1–C7 Hydrocarbons via Perimeter Engineering of Au–SrTiO3 Catalyst

Advanced Energy Materials · IF 26 · Q = 2.75%

Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

Advanced Energy Materials · IF 26 · Q = 2.75%

Al-doping driven suppression of capacity and voltage fadings in 4d-element containing Li-ion-battery cathode materials: machine learning and density functional theory

Advanced Energy Materials · IF 26 · Q = 2.75%