Jiaxuan Zhu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jiaxuan Zhu has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Junzhu Wang
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
2 shared publications - Kai Zhang
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
2 shared publications - Chenyu Liang
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
1 shared publication - Hangyu Liu
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
1 shared publication - Hongluan Xue
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
1 shared publication - Jie Zhao
College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China
1 shared publication
Latest Publications
- Open Access
Numerical Assessment of a Geometry-Aligned Vertical Heat Path for an Au-Loaded Side-Bus Photonic Crystal Nanobeam Sensor
Localized Au loading perturbs the optical response of photonic-crystal sensors and creates a concentrated thermal source. We numerically assess a side-bus silicon-nitride slotted nanobeam with two Au bars and an idealized high-conductivity shunt. Three-dimensional FDTD gives sensitivities of 99.88 and 97.50 nm/RIU for matched Au-loaded and no-Au structures over a general cladding-index sweep of n = 1.000–1.050. The Au-loaded linewidth is 24.28–39.95 nm, with linewidth-derived Q of 16.22–26.49 and figure of merit of 2.50–4.11 RIU−1. A coordinate-registered Au-field weight drives a prescribed-power COMSOL model with explicit thermal contacts. At 1 µW absorbed power and G = 100 MW m−2 K−1, the peak Au temperature rise is 12.68 K, stack peak stress is 31.04 MPa, and maximum displacement is 0.0100 nm. The maximum temperature over both Au bars gives 63.2% and 90% threshold rise times of approximately 1.46 and 8.17 ns relative to the transient on-pulse plateau. The shunt properties are prescribed model assumptions. Thermo-optic feedback, fabrication and experimental validation are not included. Field-overlap diagnostics describe localized redistribution, not independent proof of an SPR/LSPR mode.
Open AccessNumerical Assessment of a Geometry-Aligned Vertical Heat Path for an Au-Loaded Side-Bus Photonic Crystal Nanobeam Sensor
Localized Au loading perturbs the optical response of photonic-crystal sensors and creates a concentrated thermal source. We numerically assess a side-bus silicon-nitride slotted nanobeam with two Au bars and an idealized high-conductivity shunt. Three-dimensional FDTD gives sensitivities of 99.88 and 97.50 nm/RIU for matched Au-loaded and no-Au structures over a general cladding-index sweep of n = 1.000–1.050. The Au-loaded linewidth is 24.28–39.95 nm, with linewidth-derived Q of 16.22–26.49 and figure of merit of 2.50–4.11 RIU−1. A coordinate-registered Au-field weight drives a prescribed-power COMSOL model with explicit thermal contacts. At 1 µW absorbed power and G = 100 MW m−2 K−1, the peak Au temperature rise is 12.68 K, stack peak stress is 31.04 MPa, and maximum displacement is 0.0100 nm. The maximum temperature over both Au bars gives 63.2% and 90% threshold rise times of approximately 1.46 and 8.17 ns relative to the transient on-pulse plateau. The shunt properties are prescribed model assumptions. Thermo-optic feedback, fabrication and experimental validation are not included. Field-overlap diagnostics describe localized redistribution, not independent proof of an SPR/LSPR mode.
- Open Access
Nitride–Silver Hybrid PCF-SPR Biosensor: A High-Sensitivity Platform for Synchronous Monitoring of Low-Concentration Analytes and Temperature
This study proposes a dual-parameter photonic crystal fiber-based surface plasmon resonance (SPR) sensor for simultaneous refractive index and temperature detection. The sensor architecture incorporates an asymmetric air hole lattice, featuring elliptical inner holes (aspect ratio: 1.5) to enhance birefringence and axially aligned outer circular holes to optimize surface plasmon coupling. Horizontally, symmetrically deposited silver films and silicon nitride layers constitute the RI-sensing channel, while a vertically machined PDMS-coated silver–nitride structure enables temperature responsivity. The temperature-sensing channel delivers a sensitivity of 20 nm/°C within 0–100 °C, while the RI channel achieves a peak sensitivity of 18,600 nm/RIU across na = 1.33–1.41 with a resolution of 5.38 × 10−6 RIU. Notably, cross-sensitivity between the two channels remains below 5%, underscoring the sensor’s capability for independent dual-parameter analysis. This low-interference, high-sensitivity platform holds significant promise for advanced biosensing applications requiring real-time multiparametric monitoring.
Open AccessNitride–Silver Hybrid PCF-SPR Biosensor: A High-Sensitivity Platform for Synchronous Monitoring of Low-Concentration Analytes and Temperature
This study proposes a dual-parameter photonic crystal fiber-based surface plasmon resonance (SPR) sensor for simultaneous refractive index and temperature detection. The sensor architecture incorporates an asymmetric air hole lattice, featuring elliptical inner holes (aspect ratio: 1.5) to enhance birefringence and axially aligned outer circular holes to optimize surface plasmon coupling. Horizontally, symmetrically deposited silver films and silicon nitride layers constitute the RI-sensing channel, while a vertically machined PDMS-coated silver–nitride structure enables temperature responsivity. The temperature-sensing channel delivers a sensitivity of 20 nm/°C within 0–100 °C, while the RI channel achieves a peak sensitivity of 18,600 nm/RIU across na = 1.33–1.41 with a resolution of 5.38 × 10−6 RIU. Notably, cross-sensitivity between the two channels remains below 5%, underscoring the sensor’s capability for independent dual-parameter analysis. This low-interference, high-sensitivity platform holds significant promise for advanced biosensing applications requiring real-time multiparametric monitoring.