ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Deep Learning Inverse Design of Phase-Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao and 2 more
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In one paragraphArticle in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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12 authors.
Yisheng DongCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.
Xieyu ChenCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0003-1574-3782 Yi YangCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.
Zhihao WangCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.
Rui YuCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.
Chuang ZhengSchool of Optoelectronics Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China.
Chunmei OuyangCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-9413-9630 Xueqian ZhangCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0001-7712-3365 Tun CaoSchool of Optoelectronics Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China.
Zhen TianCenter For Terahertz waves and College of Precision Instrument and Optoelectronics Engineering, State Key Laboratory of Precision Measurement Technology and Instruments Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-2861-4325 Funding
China Postdoctoral Science Foundation 2024M752359National Natural Science Foundation of China 62235013National Natural Science Foundation of China 62275195National Natural Science Foundation of China 62335012National Natural Science Foundation of China 62405215Postdoctoral Fellowship Program of CPSF GZC20241200
6 · The paper itselfAbstract
The exponential rise in data exchange and cyber threats in next-generation 6G networks demands communication systems that are inherently secure at the physical layer. Terahertz (THz) waves combine huge bandwidth with strong directionality, offering a fertile platform for high-capacity and covert data transfer. Here, we introduce a deep-learning-enabled inverse-design framework that enables the creation of dynamically reconfigurable THz metadevices capable of adaptive, multidimensional encryption. By using a residual neural network trained to directly map target electromagnetic responses to device geometries across continuous material phase transitions, our approach eliminates traditional iterative design bottlenecks and enables rapid, high-precision generation of versatile meta-architectures. The resulting devices exhibit multiplexed control over polarization, depth, and phase transitions in Ge
Indexed as
deep learninginverse‐designed terahertz metadevicesmultidimensional multiplexingphase‐change materialssecure communication
Identifiers
PMID42249641
PMCPMC13361181
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LicenceCC BY-NC-ND
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