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