I recently received my Ph.D. in Materials Science and Engineering at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jonghwa Shin. During my Ph.D., my research was on optimization algorithms and physics-informed deep learningsfor the inverse design of nanophotonic devices. Previously, I received a BS in materials sceicne engineering and computer science from KAIST.
I also worked in Korea Institute of Science and Technology (KIST), supervised by Dr. Donghun Kim.
When I’m out of the computer, I spend time on traveling, hiking, or reading.
2023/02 I obtained my PhD in Materials Science and Engineering in KAIST.
- Artificial Intelligence to Accelerate the Discovery of N2 Electroreduction Catalysts
We developed a slab graph convolutional neural network (SGCNN), a slab version of crystal graph convolutional neural network to predict surface-related properties from its crystal information.
Myungjoon Kim, Byung Chul Yeo, Youngtae Park, Hyuck Mo Lee, Sang Soo Han, Donghun Kim, Chemistry of Materials (2020)
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- Photolithographic realization of target nanostructures in 3D space by inverse design of phase modulation
We developed an inverse design method for the proximity field nanopatterning process.
Sang-Hyeon Nam, Myungjoon Kim*, Nayoung Kim, Donghwi Cho, Myungwoo Choi, Jun Hyung Park, Jonghwa Shin, Seokwoo Jeon, Science Advances (2022)
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