Chang Hee Yim

Chang Hee Yim

Pohang University of Science and Technology

Professor

Graduate Institute of Ferrous Technology

Research Area

  • #Metallurgy
  • #Materials science
  • #Continuous casting
  • #Ductility
  • #Carbon steel
  • #Impurity
  • #Tensile testing
  • #Carbon
  • #Precipitation (chemistry)
  • #Artificial intelligence

Get access to
Contact information

Log in

Related papers to
‘ Metallurgy ‘ : 4

  • Prediction of hot ductility of steels from elemental composition and thermal history by deep neural networks

    2019/12

    1.4 Impact Factor

    3 citations

    Sang-Hum Kwon, Dae-Geun Hong, Chang-Hee Yim

    DOI : 10.1080/03019233.2019.1699358

    • #Materials science
    • #Composite material
    • #Artificial intelligence
    • #Metallurgy
    • #Thermal
    • #Ductility
    • #Deep learning
    • #Continuous casting
    • #Artificial neural network model
    • #Deep neural networks

All papers authored by
‘ Chang Hee Yim ’ : 4

  • Prediction of hot ductility of steels from elemental composition and thermal history by deep neural networks

    2019/12
    IRONMAKING & STEELMAKING

    1.4 Impact Factor

    3 citations

    Sang-Hum Kwon, Dae-Geun Hong, Chang-Hee Yim

    DOI : 10.1080/03019233.2019.1699358

    • #Materials science
    • #Composite material
    • #Artificial intelligence
    • #Metallurgy
    • #Thermal
    • #Ductility
    • #Deep learning
    • #Continuous casting
    • #Artificial neural network model
    • #Deep neural networks

Related papers to
‘ Metallurgy ‘ : 4

  • Prediction of hot ductility of steels from elemental composition and thermal history by deep neural networks

    2019/12
    IRONMAKING & STEELMAKING

    1.4 Impact Factor

    3 citations

    Sang-Hum Kwon, Dae-Geun Hong, Chang-Hee Yim

    DOI : 10.1080/03019233.2019.1699358

    • #Materials science
    • #Composite material
    • #Artificial intelligence
    • #Metallurgy
    • #Thermal
    • #Ductility
    • #Deep learning
    • #Continuous casting
    • #Artificial neural network model
    • #Deep neural networks
  • Embrittlement mechanism in a low-carbon steel at intermediate temperature

    2019/03
    MATERIALS CHARACTERIZATION

    3.6 Impact Factor

    2 citations

    Joon-Hong Min, Yoon-Uk Heo, Sang-Hum Kwon, Sang-Woon Moon, Dong-Gyu Kim, Jae-Sang Lee, Chang-Hee Yim

    DOI : 10.1016/J.MATCHAR.2019.01.009

    • #Materials science
    • #Metallurgy
    • #Embrittlement
    • #Grain boundary
    • #Austenite
    • #Tensile testing
    • #Carbon steel
    • #Bainite
    • #Cementite
    • #Intergranular fracture

Get access to
Contact information

Log in

All papers authored by
‘ Chang Hee Yim ’ : 4

  • Prediction of hot ductility of steels from elemental composition and thermal history by deep neural networks

    2019/12
    IRONMAKING & STEELMAKING

    1.4 Impact Factor

    3 citations

    Sang-Hum Kwon, Dae-Geun Hong, Chang-Hee Yim

    DOI : 10.1080/03019233.2019.1699358

    • #Materials science
    • #Composite material
    • #Artificial intelligence
    • #Metallurgy
    • #Thermal
    • #Ductility
    • #Deep learning
    • #Continuous casting
    • #Artificial neural network model
    • #Deep neural networks
  • Embrittlement mechanism in a low-carbon steel at intermediate temperature

    2019/03
    MATERIALS CHARACTERIZATION

    3.6 Impact Factor

    2 citations

    Joon-Hong Min, Yoon-Uk Heo, Sang-Hum Kwon, Sang-Woon Moon, Dong-Gyu Kim, Jae-Sang Lee, Chang-Hee Yim

    DOI : 10.1016/J.MATCHAR.2019.01.009

    • #Materials science
    • #Metallurgy
    • #Embrittlement
    • #Grain boundary
    • #Austenite
    • #Tensile testing
    • #Carbon steel
    • #Bainite
    • #Cementite
    • #Intergranular fracture

Get access to Contact information

Log in
scholarship

Are you Thesis Advisor?
Register and Get Benefits from PhD.GO!

Learn more

Blog

Learn more about scholarship of
Pohang University of Science and Technology

Learn more