2 papers
cond-mat.dis-nn2025
Deep-Learning-Empowered Programmable Topolectrical Circuits
Hao Jia, Shanglin Yang, Jiajun He +9
Topolectrical circuits provide a versatile platform for exploring and simulating modern physical models. However, existing approaches suffer from incomplete programmability and ine…
physics.optics2025
Free Extension of Topological States via Double-zero-index Media
Rui Dong, Changhui Shen, Changqing Xu +2
Topological states, known for their robustness against disorder, offer promising avenues for disorder-resistant devices. However, their intrinsic spatial confinement at interfaces…