Deep-learning-empowered programmable topolectrical circuits

H Hao Jia (Key Laboratory of Photochemistry, Beijing National Laboratory for Molecular Sciences) S Shanglin Yang J Jiajun He S Shuo Liu H Haoxiang Chen C Ce Shang S Shaojie Ma P Peng Han C Ching Hua Lee Z Zhen Gao (State Key Laboratory of Optical Fiber and Cable Manufacturing Technology, Department of Electronic and Electrical Engineering, Guangdong Key Laboratory of Integrated Optoelectronics Intellisense, Southern University of Science and Technology) Y Yun Lai T Tie Jun Cui

Article Details

Volume / Issue Vol. 17, Issue 1
Published May 07, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (12)

H

Hao Jia

Key Laboratory of Photochemistry, Beijing National Laboratory for Molecular Sciences

S

Shanglin Yang

J

Jiajun He

S

Shuo Liu

H

Haoxiang Chen

C

Ce Shang

S

Shaojie Ma

P

Peng Han

C

Ching Hua Lee

Z

Zhen Gao

State Key Laboratory of Optical Fiber and Cable Manufacturing Technology, Department of Electronic and Electrical Engineering, Guangdong Key Laboratory of Integrated Optoelectronics Intellisense, Southern University of Science and Technology

Y

Yun Lai

T

Tie Jun Cui