~ 2021

https://scholar.google.com/citations?hl=en&user=0LlIh5AAAAAJ

[2025]

[12]  남충희,   "SmCo 영구자석 소재의 포화자화값 예측을 위한 기계학습 모델 최적화" (2025. 07)  : 한국재료학회지

 [11] Chunghee Nam*, Convolutional neural network-based prediction of hardness in bulk metallic glasses with small data, Journal of Non-Crystalline Solids, Volume 654, 15 April (2025), 123451,Elsevier, https://doi.org/10.1016/j.jnoncrysol.2025.123451 

[2023-2024]

[10] Chunghee Nam*, Prediction of supercooled liquid region of Fe-based metallic glasses by deep learning

      Applied Physics A, 130, 917 (2024) - Springer

[9]  Chunghee Nam*,  " Deep learning-based prediction of saturation magnetic flux density in Fe-based metallic glasses via transfer learning ", Accepted,

    Materials Chemistry and Physics (2024), volume 315,129076     Elsevier, https://doi.org/10.1016/j.matchemphys.2024.129076 

[8] Chunghee Nam*,  "Magnetocaloric properties predicted by deep learning with compositional features for bulk metallic glasses"

 Journal of Non-Crystalline Solids, Volume 624, 15 January (2024), 122723,Elsevier, https://doi.org/10.1016/j.jnoncrysol.2023.122723 

[7] Chunghee Nam*,  "Artificial Neural Network Supported Prediction of Magnetic Properties of Bulk Metallic Glasses"

      Korean J. Mater. Res. (Scopus),   (2023)

[6] Chunghee Nam*,  "Convolutional Neural Network Guided Prediction of Saturation Magnetic Flux Density of Fe-based Metallic Glasses",   Computational Materials Science 225, 112198(2023) ,Elsevier

https://www.sciencedirect.com/science/article/abs/pii/S0927025623001921

[5] Chunghee Nam*, "Prediction of Mechanical Properties of High-Entropy Ceramics by Deep Learning with Compositional Descriptors ", Materials Today Communications  35, 105949 (2023),  Elsevier

https://www.sciencedirect.com/science/article/abs/pii/S2352492823006402

[4] Chunghee Nam*, "Compositional Feature Selection and its Effects on Bandgap Prediction by Machine Learning "

      Korean J. Mater. Res. (Scopus),  (2023)

[2022]

[3] Chunghee Nam*. "Machine Learning Directed Prediction of Saturation Magnetization" 

     Journal of the Korean Magnetics Society 32(6), 246-252 (2022) 

[2] Chunghee Nam*, "Machine Learning Guided Prediction of Superhard Materials Based on Compositional Features ", 

    Korean J. Met. Mater (SCIE). (2022), vol.60, no.8, pp. 619-627 (9 pages) 

[1] Chunghee Nam*, "Super-Resolution Transmission Electron Microscope Image of Nanomaterials Using Deep Learning ", Korean J. Mater. Res. (Scopus), (2022), vol.32, no.8, pp. 345-353 (9 pages)