output
20122026
most citedGrowth Dynamics and Gas Transport Mechanism of Nanobubbles in Graphene Liquid Cells

190 citations

Showing 2025Show all

6 papers · 1 filter

quant-ph2025

Fundamental limits to contrast reversal of survival probability correlations

Kyoungho Cho, Jeongho Bang

In measurement design, it is common to engineer anti-contrast readouts -- two measurements that respond as differently as possible to the same inputs so that contributions that aff…

cond-mat.mtrl-sci2025★ 6 cited

Step-directed Epitaxy of Uni-directional Hexagonal Boron Nitride on Vicinal Ge(110)

Ju-Hyun Jung, Chao Zhao, Seong-Jun Yang +8

Insulating hexagonal boron nitride (hBN) films with precisely controlled thickness are ideal dielectric components to modulate various interfaces in electronic devices. To achieve…

eess.SP2025★ 1 cited

Shape-Aware Topological Representation for Pipeline Hyperbola Detection in GPR Data

Meiyan Kang, Shizuo Kaji, Sang-Yun Lee +3

Ground Penetrating Radar (GPR) is a widely used Non-Destructive Testing (NDT) technique for subsurface exploration, particularly in infrastructure inspection and maintenance. Howev…

physics.optics2025★ 1 cited

Dual-Polarization SHG Interferometry for Imaging Antiparallel Domains and Stacking Angles of 2D Heterocrystals

Juseung Oh, Wontaek Kim, Gyouil Jeong +5

Optical second-harmonic generation (SHG) enables orientational polarimetry for crystallographic analysis and domain imaging of various materials. However, conventional intensity po…

cs.RO2025★ 1 cited

Shoulder Range of Motion Rehabilitation Robot Incorporating Scapulohumeral Rhythm for Frozen Shoulder

Hyunbum Cho, Sungmoon Hur, Joowan Kim +2

This paper presents a novel rehabilitation robot designed to address the challenges of Passive Range of Motion (PROM) exercises for frozen shoulder patients by integrating advanced…

stat.ML2025★ 1 cited

Ensuring superior learning outcomes and data security for authorized learner

Jeongho Bang, Wooyeong Song, Kyujin Shin +1

The learner's ability to generate a hypothesis that closely approximates the target function is crucial in machine learning. Achieving this requires sufficient data; however, unaut…