Korea, Republic of (South Korea)
Korea Advanced Institute of Science and Technology (KAIST) - Department of Materials Science and Engineering
Machine learning, artificial neural networks, phase field, dendritic solidification, x-ray computed tomography
Lithium-Ion Batteries, NCM Cathode, Inverse Design, Machine Learning, Design-To-Device Pipeline
Strain-engineering, multiferroic materials, strain-induced ferroelectricity, defect chemistry, crystallographic orientation
Thin film encapsulation (TFE), initiated chemical vapor deposition (iCVD), Atomic layer deposition (ALD), Residual Stress, Flexible electronic devices
deep learning, transmission electron microscopy, lithium-ion battery cathode, NMC, Li-rich NMC
artificial neural networks, x-ray computed tomography, dendritic formation, solidification microstructure, 3D image analysis