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2026-09-19 Latest Published
By Deval Kumar Somsing Rathod Amit Kumar Singh
Progress In Electromagnetics Research M, Vol. 140, 55-65, 2026
Abstract
Full-wave electromagnetic simulation is computationally intensive during parametric antenna design and optimization. This study proposes a Support Vector Regression (SVR) based framework to predict the reflection coefficient of an Artificial Magnetic Conductor-Perfect Electric Conductor (AMC-PEC) metasurface antenna array in the X-band. The antenna comprises circular AMC cells and rectangular/grid PEC radiating elements arranged in a spatially optimized architecture. A dataset of 500 samples was generated using openEMS full-wave simulations, with antenna geometrical parameters as inputs and S11 as the target response. An SVR model with a radial basis function kernel was trained and validated against simulations and measurements of a fabricated multilayer prototype. The predicted, simulated, and measured resonances occurred at approximately 9.8, 9.9, and 10.0 GHz, respectively, while measurements confirmed broadband impedance matching from 9.04 to 11.0 GHz. The SVR achieved a Mean Absolute Error (MAE) of 0.20 dB, Root Mean Square Error (RMSE) of 0.26 dB, and coefficient of determination (R2) of 0.998, outperforming Artificial Neural Network (ANN) and Gaussian Process Regression (GPR) models trained on the same dataset. Predictions were generated in under one second, providing a speedup of approximately three orders of magnitude over full-wave simulation. The results demonstrate accurate and computationally efficient prediction for antenna design and optimization.
2026-09-19
PIER M
Vol. 140, 55-65, 2026
download: 68
Machine Learning-Based Reflection Coefficient Response Prediction of AMC-PEC Metasurface Antenna Using SVR
Deval Kumar, Somsing Rathod and Amit Kumar Singh
Full-wave electromagnetic simulation is computationally intensive during parametric antenna design and optimization. This study proposes a Support Vector Regression (SVR) based framework to predict the reflection coefficient of an Artificial Magnetic Conductor-Perfect Electric Conductor (AMC-PEC) metasurface antenna array in the X-band. The antenna comprises circular AMC cells and rectangular/grid PEC radiating elements arranged in a spatially optimized architecture. A dataset of 500 samples was generated using openEMS full-wave simulations, with antenna geometrical parameters as inputs and S11 as the target response. An SVR model with a radial basis function kernel was trained and validated against simulations and measurements of a fabricated multilayer prototype. The predicted, simulated, and measured resonances occurred at approximately 9.8, 9.9, and 10.0 GHz, respectively, while measurements confirmed broadband impedance matching from 9.04 to 11.0 GHz. The SVR achieved a Mean Absolute Error (MAE) of 0.20 dB, Root Mean Square Error (RMSE) of 0.26 dB, and coefficient of determination (R2) of 0.998, outperforming Artificial Neural Network (ANN) and Gaussian Process Regression (GPR) models trained on the same dataset. Predictions were generated in under one second, providing a speedup of approximately three orders of magnitude over full-wave simulation. The results demonstrate accurate and computationally efficient prediction for antenna design and optimization.
Machine Learning-Based Reflection Coefficient Response Prediction of AMC-PEC Metasurface Antenna Using SVR
2026-09-17
PIER M
Vol. 140, 26-54, 2026
download: 158
Ultrasensitive Multiplexed Detection of Breast Cancer Exosomal EpCAM, VEGF and CD63 via Phase-Interrogated SPR with Zr/Ce-MOF@Fe3O4 Magnetic Amplification and Preliminary Extension to CAR-T Immune Monitoring
Sailing He, Faten Bashar Kamal Eddin, Alamgir, Houxin Fan, Kaixin Zheng, Shuang E, Junbo Liang, Junbo Cai, Bojian Xie, Jinhua Ding, Mohammed Zourob, Hongsheng Lu, De-Man Han and Wenda Luo
Exosomal surface proteins are emerging as minimally invasive liquid-biopsy biomarkers for breast cancer, yet their trace-level abundance poses challenges for biosensor sensitivity and multiplexing capacity, and conventional assays miss the substantial cargo in vesicles. Here, we report a mass-amplification-enhanced multiplexed SPR platform coupling antibody-directed magnetic enrichment with a phase-interrogated Ag/ZnSe waveguide chip for simultaneous detection of EpCAM, VEGF, and CD63, with a proof-of-concept extension to the immune-activation marker IFN-γ. A bimetallic Zr/Ce-MOF@Fe3O4 nanocomposite (confirmed by SEM-EDS) provided high refractive-index mass loading and magnetic separability, interfaced with a multi-channel Ag/ZnSe/APTES/GO chip (anti-EpCAM, anti-VEGF, anti-CD63) via a phase-polarization-modulation SPR system and PDMS microfluidics. MOF amplification improved the LOD for EpCAM from 0.86 to 0.07 pg mL-1 (12.3-fold) and for VEGF from 2.45 to 0.21 pg mL-1 (11.7-fold). Intact exosomes gave antibody-specific responses on anti-EpCAM (6.22°), anti-VEGF (3.09°), and anti-CD63 (9.54°), with signal-to-background ratios up to 106.0 and cross-reactivity below 0.4°; in matched healthy and patient serum, MOF-amplified responses were consistently higher in patients across all three markers (6.5-fold EpCAM, 6.2-fold VEGF, 8-fold CD63), with comparable discrimination extended to urine on the CD63 channel. Lysates analyzed on anti-EpCAM channels showed negligible healthy signals (0.29° without MOF, 1.63° with MOF) versus a patient increase from 5.80° to 18.4° (3.17-fold), corresponding to an apparent 41 pg mL-1 total solubilized EV-associated EpCAM. As proof of concept for immune-status phenotyping, CD63-captured exosomes from a patient with clinical suspicion of immune activation showed a 12-fold higher IFN-γ signal than healthy samples (9-fold with MOF), with Langmuir kinetics indicating higher apparent binding affinity in the patient. Nanoparticle tracking confirmed exosome populations within the characteristic 30-150 nm range (mean 66.5-92.8 nm), and inter-chip/inter-channel reproducibility were 2.72% and 0.64% CV. As a complementary label-free imaging readout, the EV/MOF workflow was also implemented on a differential guided-mode resonance (dGMR) platform, where intact whole-EV binding produced MOF-amplified resonance-stripe pixel shifts without vesicle lysis; patient-derived EVs showed ~9.4-fold enhancement (vs 6.86-fold by phase-interrogated SPR), and healthy-derived EVs showed $\sim10.8$-fold enhancement, pushing the dGMR whole-EV response into a near-order-of-magnitude amplification regime. In a comparative discussion, sandwich SERS detection of EV-associated IFN-γ in CAR-T therapy further demonstrated that molecular fingerprint-based SERS can resolve specific immune markers, complementing the quantitative strengths of SPR and extending the platform toward immune-status monitoring. This platform demonstrates proof-of-concept feasibility for multiplexed exosomal marker detection directly in crude clinical matrices, with larger cohort studies required to establish diagnostic utility.
Ultrasensitive Multiplexed Detection of Breast Cancer Exosomal EpCAM, VEGF and CD63 via Phase-Interrogated SPR with Zr/Ce-MOF@Fe3O4 Magnetic Amplification and Preliminary Extension to CAR-T Immune Monitoring
2026-09-15
PIER M
Vol. 140, 13-25, 2026
download: 320
A Compact Dual-Band MIMO Antenna with CSRR Loading and T-Shaped Hybrid-Slot Decoupling
Xuebin Peng, Jiabei Zhu, Yajing Liu, Zhi Song and Yanbing Xue
This paper presents a compact dual-band two-element multiple-input multiple-output (MIMO) antenna for terminal-device wireless communication. The antenna element is based on a rectangular patch, and miniaturization is achieved by combining slot loading with a partial ground plane. A complementary split-ring resonator (CSRR) introduces an additional resonant mode, enabling dual-band operation. A 2 × 1 MIMO configuration is formed by arranging two elements in parallel. To reduce mutual coupling, a four-stage T-shaped hybrid-slot decoupling structure with E-, L-, window-, and spiral-shaped slots is introduced on a common ground plane, effectively suppressing surface current coupling. The dimension of the antenna is 0.45λ0 × 0.31λ0 × 0.019λ0. The antenna operates over 3.17-4.37 GHz and 4.76-5.02 GHz, with a port isolation better than -20 dB over both bands, reaching -34.58 dB at 3.52 GHz and -22.79 dB at 4.87 GHz. The envelope correlation coefficient (ECC) is below 0.005, and the diversity gain (DG) is approximately 10 dB. The measured results agree with the simulated ones. These results indicate that the proposed antenna achieves a good balance between compact size and high isolation, making it suitable for size-constrained terminal MIMO applications.
A Compact Dual-Band MIMO Antenna with CSRR Loading and T-Shaped Hybrid-Slot Decoupling
2026-09-12
PIER M
Vol. 140, 1-12, 2026
download: 112
Wideband Low-Profile Circularly Polarized Crossed-Dipole Antenna Based on AMC Reflector
He Liu, Han Lin, Zhonggen Wang and Wenyan Nie
This paper proposes a wideband, low-profile, circularly polarized (CP) crossed-dipole antenna with an artificial magnetic conductor (AMC) reflector. The antenna consists mainly of a pair of orthogonal half-wavelength dipoles, two 90$^\circ$ phase-delay rings, four parasitic patches, four pairs of vertically arranged metallic strips, an AMC reflector, and a square ground plane. CP radiation is generated by exciting bow-tie dipole arms via phase-delay rings. Introducing parasitic patches and vertical metallic strips optimizes the surface current distribution, broadening the impedance-matching bandwidth and axial ratio bandwidth (ARBW). Meanwhile, using the AMC structure as a reflector effectively reduces the antenna profile. We fabricate a prototype of the proposed antenna to verify consistency between simulated and measured results. The measured results show that impedance bandwidth (IBW) is 1.51-2.54 GHz (50.9%), and ARBW is 1.53-2.51 GHz (48.5%). The antenna achieves a peak gain of 8.5 dBic and an average gain of 7.05 dBic across the entire operating band. Furthermore, the antenna features an ultra-low profile of 0.12λL at the lowest operating frequency.
Wideband Low-Profile Circularly Polarized Crossed-Dipole Antenna Based on AMC Reflector