X. Y. Zhang

ORCID: 0009-0006-8842-9582
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Computational Physics and Python Applications
  • Surface Modification and Superhydrophobicity
  • Fluid Dynamics and Heat Transfer
  • Dark Matter and Cosmic Phenomena
  • Neutrino Physics Research
  • AI and HR Technologies
  • Electrohydrodynamics and Fluid Dynamics
  • Adhesion, Friction, and Surface Interactions
  • Nuclear physics research studies
  • Atomic and Subatomic Physics Research
  • Particle Detector Development and Performance

Shandong University
2023-2024

Soochow University
2013-2023

Recently, super-hydrophobicity has attracted increasing attention due to its huge potential in the practical applications. In this paper, we have presented a duo-structure of combination micro-dot-matrix and nano-candle-soot. Polydimethylsiloxane (PDMS) was used as layer between dot-matrix soot particles. Firstly, period 9-μm easily fabricated on K9 glass using most simple mature photolithography process. Secondly, surface coated by thin film PDMS (elastomer: hardener=10:1) which diluted...

10.1117/12.2184406 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2015-04-13

Superhydrophobic and self-cleaning are the key properties of some species plant leaves due to micro-and nano-structures on surface. In this paper, Berberis thunbergii with nano-hairy micro-trichomes structures, was used as template for replication. The negative replica fabricated by casting PDMS template, then positive UV-photoresist replica. Contact angle 141° achieved

10.1109/3m-nano.2013.6737380 article EN International Conference on Manipulation, Manufacturing and Measurement on Nanoscale 2013-08-01

In this paper, we apply big data mining technology to human resource management, and extract Eysenck personality test from mental health platform, firstly, the are preprocessed by cleaning, specification transformation, then improved K-means clustering algorithm is used, staff members divided into focus object, general object of concern. Finally, characteristics different objects each cluster analyzed, for managers formulate targeted management measures reduce security risks provide support...

10.1145/3659211.3659216 article EN 2023-12-08
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