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physics.optics2026

Tailoring Defects in Photonic Time Crystals for Coherent Energy Control

Dayeong Lee, Jongheon Yeo, Gitae Lee +3

Recent advances in time-varying photonics have revealed new degrees of freedom for manipulating optical states, arising from the distinctive nature of the temporal axis: causality…

physics.optics2026

Fully programmable slow light based on a spinor representation of generalized coupled-resonator-induced transparency

Seungkyun Park, Beomjoon Chae, Hyungchul Park +3

Electromagnetically induced transparency (EIT), arising from quantum interference in coherently driven atomic systems, has inspired a variety of photonic analogues, such as coupled…

physics.optics2026

Non-Hermitian stealthy hyperuniformity

Gitae Lee, Seungmok Youn, Ikbeom Lee +5

Symmetry-driven wave physics in open systems, exemplified by parity-time (PT) symmetry, has extended the landscape of crystalline phases in materials science to include gain-loss m…

physics.optics2025

Heterogeneous networks for phase-sensitive engineering of optical disordered materials

Seungmok Youn, Kunwoo Park, Ikbeom Lee +3

Heterogeneous networks provide a universal framework for extracting subsystem-level features of a complex system, which are critical in graph colouring, pattern classification, and…

physics.optics2025

Hypergraph modelling of wave scattering to speed-up material design

Kunwoo Park, Ikbeom Lee, Seungmok Youn +3

Hypergraphs offer a generalized framework for understanding complex systems, covering group interactions of different orders beyond traditional pairwise interactions. This modellin…

physics.optics2024

Nonlinear unitary circuits for photonic neural networks

Sunkyu Yu, Xianji Piao, Namkyoo Park

Photonics has unlocked the potential for energy-efficient acceleration of deep learning. Most approaches toward photonic deep learning have diligently reproduced traditional deep l…