2 citations · 2 across the 4 of their papers we have counts for
4 papers
Unified Theory of Quartz Tuning Fork Resonators
Hankyul Koh, Wonho Jhe
Quartz tuning forks, functioning as electrically driven piezoelectric resonators, have long served as exceptionally stable and widely adopted timing references in diverse domains o…
A comprehensive semi-automated fabrication system for quartz tuning fork AFM probe with real-time resonance frequency monitoring and Q-factor control
Hankyul Koh, Joon-Hyuk Ko, Wonho Jhe
Quartz tuning fork-based atomic force microscopy (QTF-AFM) has become a powerful tool for high-resolution imaging of both conductive and insulating samples, including semiconductor…
Moderate Adaptive Linear Units (MoLU)
Hankyul Koh, Joon-hyuk Ko, Wonho Jhe
We propose the Moderate Adaptive Linear Unit (MoLU), a novel activation function for deep neural networks, defined analytically as: f(x)=x \times (1+tanh(x))/2. MoLU combines mathe…
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko, Hankyul Koh, Nojun Park +1
Neural Ordinary Differential Equations (NeuralODEs) present an attractive way to extract dynamical laws from time series data, as they bridge neural networks with the differential…