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Sanmun Kim

Showing results (1-10 of 5) with videos related to

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Iscience|October 11, 2023
Design parameters of free-form color splitters for subwavelength pixelated image sensorsSanmun Kim, Chanhyung Park, Shinho Kim, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Free-form optimization of nanophotonic devices: from classical methods to deep learningJuho Park, Sanmun Kim, Daniel Wontae Nam, et al.
Optics Express|June 29, 2023
Fast and rigorous optical simulation of periodically corrugated light-emitting diodes based on a diffraction matrix methodChanhyung Park, Jeongmin Shin, Sanmun Kim, et al.
Nanophotonics (Berlin, Germany)|April 28, 2025
Data-efficient prediction of OLED optical properties enabled by transfer learningJeong Min Shin, Sanmun Kim, Sergey G Menabde, et al.
Nanophotonics (Berlin, Germany)|December 16, 2024
Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learningChaejin Park, Sanmun Kim, Anthony W Jung, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Iscience|October 11, 2023
Design parameters of free-form color splitters for subwavelength pixelated image sensorsSanmun Kim, Chanhyung Park, Shinho Kim, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Free-form optimization of nanophotonic devices: from classical methods to deep learningJuho Park, Sanmun Kim, Daniel Wontae Nam, et al.
Optics Express|June 29, 2023
Fast and rigorous optical simulation of periodically corrugated light-emitting diodes based on a diffraction matrix methodChanhyung Park, Jeongmin Shin, Sanmun Kim, et al.
Nanophotonics (Berlin, Germany)|April 28, 2025
Data-efficient prediction of OLED optical properties enabled by transfer learningJeong Min Shin, Sanmun Kim, Sergey G Menabde, et al.
Nanophotonics (Berlin, Germany)|December 16, 2024
Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learningChaejin Park, Sanmun Kim, Anthony W Jung, et al.
Pageof 1