Publication:
Machine Learning Assists the Design of a W-Band Phase-Change Tunable Wire-Grid Periodic Resonant Broadband Absorber
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0001-5049-7885 | |
| cris.virtualsource.department | 1e17c65e-ce59-407d-ab8c-80a86c9dd65b | |
| cris.virtualsource.orcid | 1e17c65e-ce59-407d-ab8c-80a86c9dd65b | |
| dc.contributor.author | Liu, Yiting | |
| dc.contributor.author | Chen, Cheng | |
| dc.contributor.author | Zhang, Wei | |
| dc.contributor.author | Wang, Yuhang | |
| dc.contributor.author | Xue, Jiaxuan | |
| dc.contributor.author | Zhao, Wu | |
| dc.contributor.author | Stiens, Johan | |
| dc.date.accessioned | 2026-04-30T08:45:06Z | |
| dc.date.available | 2026-04-30T08:45:06Z | |
| dc.date.createdwos | 2026-03-27 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Millimeter-wave systems require absorbers with high absorption efficiency, broad bandwidth, and multi-functional tunability. However, existing devices based on composite structures and materials face design challenges: traditional methods hardly achieve all three indicators simultaneously, often sacrificing one performance for another, making “high absorption, broad bandwidth, multi-function” integration highly difficult. To overcome this fundamental trade-off, this study designs a W-band (75–110 GHz) composite absorber, integrating VO2 and graphene, and combining periodic resonant structures with a backplane-free phase-change wire-grid architecture. When integrated into the periodic resonant structure, the VO2 wire-grid provides thermal ‘on-off’ switching of absorption, whereas graphene offers electrical tunability—both achieved by modulating the effective surface conductivity and thus the impedance matching condition. Guided by an XGBoost-based closed-loop inverse design framework, the XGBoost model optimizes parameters, with convergence achieved after four closed-loop simulation iterations. Results show the VO2 wire-grid absorber performs excellently at 90° incidence: it achieves near-perfect absorption (>99%) over a 21 GHz sub-band (82–103 GHz), showing an 80% improvement in average absorption compared to copper(Cu) backplanes, under identical unit-cell geometry and simulation conditions, with each configuration independently optimized for peak performance. Graphene provides a maximum modulation amplitude of depth of 68%. Innovations of this study include constructing a periodic resonant wire-grid structure that abandons traditional backplanes and uses wire-grids to expand loss areas, enabling dual-mode multi-physics control through co-integration of VO2 and graphene, and establishing a machine learning closed-loop framework for parameter optimization. It explores a new paradigm for multi-functional tunable absorbers, providing high-performance solutions for MMW systems such as radar, communications, and biomedical imaging. | |
| dc.description.wosFundingText | This work was supported in part by the Postdoctoral Research Project of Shaanxi Province of China, in part by the Foreign Expert Project of Ministry of Human Resources and Social Security of China under Grant S20240317, in part by the Natural Science Foundation Project of the Shaanxi Provincial Department of Education under Grant 24JK0673, in part by ETRO.RDI large Research Group Funding, in part by GEAR-IOF Funding Tech4Health, in part by SRP-Funding LSDS (learning-based Signal & Data Processing Systems), in part by Xi'an New Low-dimensional Materials and Devices and Terahertz Technology International Science and Technology Cooperation Base, in part by the National Natural Science Foundation of China under Grant 62374134, in part by Shanxi Natural Science Foundation under Grant 2023-JC-QN-0700, in part by China Scholarship Council under Grant 202306970038, and in part by the Shanxi Province Postdoctoral Research Project of Cheng Chen. | |
| dc.identifier.doi | 10.1109/jstqe.2026.3670043 | |
| dc.identifier.issn | 1077-260X | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/59238 | |
| dc.language.iso | eng | |
| dc.provenance.editstepuser | greet.vanhoof@imec.be | |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
| dc.source.beginpage | 4700617 | |
| dc.source.issue | 3 | |
| dc.source.journal | IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS | |
| dc.source.numberofpages | 17 | |
| dc.source.volume | 32 | |
| dc.subject.keywords | METAMATERIAL ABSORBER | |
| dc.subject.keywords | PERFORMANCE | |
| dc.title | Machine Learning Assists the Design of a W-Band Phase-Change Tunable Wire-Grid Periodic Resonant Broadband Absorber | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| imec.internal.crawledAt | 2026-03-30 | |
| imec.internal.source | crawler | |
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