Zihan Zhao

ORCID: 0000-0002-3155-0115
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance
  • Computational Physics and Python Applications
  • Dark Matter and Cosmic Phenomena
  • Advancements in Solid Oxide Fuel Cells
  • Metamaterials and Metasurfaces Applications
  • Quantum Chromodynamics and Particle Interactions
  • Electronic and Structural Properties of Oxides
  • Carbon and Quantum Dots Applications
  • Advanced Antenna and Metasurface Technologies
  • Nanocluster Synthesis and Applications
  • Music and Audio Processing
  • Phonocardiography and Auscultation Techniques
  • Astrophysics and Cosmic Phenomena
  • Distributed and Parallel Computing Systems
  • Antenna Design and Analysis
  • Fuel Cells and Related Materials
  • Respiratory and Cough-Related Research
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Anomaly Detection Techniques and Applications
  • Speech and dialogue systems
  • Orbital Angular Momentum in Optics
  • Neural Networks and Reservoir Computing
  • Generative Adversarial Networks and Image Synthesis

Shanghai Jiao Tong University
2022-2025

Guangxi University
2023-2024

Shandong Jiaotong University
2024

Harbin Institute of Technology
2020-2021

In this paper, we design and demonstrate a compact logic operator based on single-layer metasurface at microwave frequency. By mapping the nodes in trained fully connected neural network (FCNN) to specific unit cells with phase control function of metasurface, only one hidden layer is physically realized. When incident wave illuminates operating regions corresponding are activated can scatter two designated zones containing logical information output layer. The proposed experimentally...

10.1364/prj.439036 article EN Photonics Research 2021-11-23

10.1109/icassp49660.2025.10889373 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

<title>Abstract</title> Ionic transport in solids is critical for energy applications batteries and fuel cells. To improve ionic transport, an emerging approach the selective excitation of atomic vibrations related to mobile ions. However, there limited direct experimental evidence demonstrating enhanced macroscopic conductivity through this approach. Here, we used a 140-mW continuous-wave mid-infrared (MIR) light excite O–H stretch vibration proton-conducting yttrium-doped barium zirconate....

10.21203/rs.3.rs-5274115/v1 preprint EN cc-by Research Square (Research Square) 2025-03-18

Proton conducting electrochemical cells (PCECs) are efficient and clean intermediate-temperature energy conversion devices. The proton concentration across the PCECs is often nonuniform, characterizing distribution of can help to locate position rate-limiting reactions. However, determination local under operating conditions remains challenging. Here, we employed in situ near-ambient pressure X-ray photoelectron spectroscopy (NAP-XPS) investigate an Au/BaZr0.9Y0.1O3-δ/Au symmetric cell with...

10.1021/acsami.4c15330 article EN ACS Applied Materials & Interfaces 2025-01-06

Self-accelerating optical Airy beams present attractive characteristics such as self-bending and non-diffraction, which have rendered this field a research hotspot in recent years. In paper, the desired phase changes of unit cell structure for transmitted cross-polarized wave can be realized by modifying rotation angle cell, while amplitude modulated changing inner diameter R double layer split-ring resonator (SRR). As such, modulations performed simultaneously independently to achieve...

10.1364/ol.439155 article EN Optics Letters 2021-09-28

In this article, a 2-D Airy beam with self-bending and non-diffraction characteristics is generated verified at microwave frequencies by using metasurface composed of single-layer strip resonator. By modifying the rotation angle structural parameters unit cells, phase amplitude transmission coefficient can be controlled, respectively. addition, deflection main lobe manipulated attenuation coefficients in function. The novel excitation control methods designed article propose great...

10.1109/tmag.2021.3090259 article EN IEEE Transactions on Magnetics 2021-06-17

Interactions of ceramic proton conductors with the environment under operating conditions play an essential role on material properties and device performance. It remains unclear how chemical material, as modulated by condition, affects conductivity. Combining near-ambient pressure X-ray photoelectron spectroscopy impedance spectroscopy, we investigate changes oxygen conductivity BaZr0.9Y0.1O3-δ condition. Changes in O 1s core level spectra indicate that adding water vapor increases both...

10.1021/acs.jpclett.2c00114 article EN The Journal of Physical Chemistry Letters 2022-03-28

Abstract Surface protonic conduction in porous nanocrystalline oxides is commonly involved catalytic processes. The configuration of surface adsorbed water on plays a crucial role conduction. However, studies the impact complex concentration and diffusivity remain limited, hinder an in‐depth understanding proton transport mechanisms, design better conductors. Here, situ Raman spectroscopy utilized to quantitatively identify contribution dissociative molecular components TiO 2 surfaces...

10.1002/smll.202406826 article EN Small 2024-09-03

This study introduces an innovative approach to analyzing unlabeled data in high-energy physics (HEP) through the application of self-supervised learning (SSL). Faced with increasing computational cost producing high-quality labeled simulation samples at CERN LHC, we propose leveraging large volumes overcome limitations supervised methods, which heavily rely on detailed simulations. By pretraining models these vast, mostly untapped datasets, aim learn generic representations that can be...

10.48550/arxiv.2408.09343 preprint EN arXiv (Cornell University) 2024-08-17

In high energy physics, self-supervised learning (SSL) methods have the potential to aid in creation of machine models without need for labeled datasets a variety tasks, including those related jets -- narrow sprays particles produced by quarks and gluons particle collisions. This study introduces an approach jet representations hand-crafted augmentations using jet-based joint embedding predictive architecture (J-JEPA), which aims predict various physical targets from informative context. As...

10.5281/zenodo.14251372 preprint EN arXiv (Cornell University) 2024-12-05

In this paper, a new method to generate and control one-dimensional Airy beam based on metasurface is proposed. By controlling the length rotation angle of unit cell structures, amplitude phase transmission coefficient can be adjusted excite desired with obvious self-bending phenomenon. Full-amplitude modulation simplified-amplitude are utilized discussed here. addition, regulate deflection main lobe proposed by changing number elements in metasurfaces array. The calculated experimental...

10.1109/iceict51264.2020.9334202 article EN 2020-11-13
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