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Peng HUA (花鹏)

PhD in Nanoscience & Technology

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About Me

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Currently a 4th-year PhD candidate in Nanoscience & Technology at the Hong Kong University of Science and Technology (香港科技大学), researching multiphysics simulation and image segmentation using deep learning and AI, employing Molecular Dynamics (LAMMPS) and photolithography experiments.

Experience

Modeling of Field-Driven Granular Collective Dynamics

Supervisor: Prof. Yilong Han (韩一龙教授)

HKUST

  • Developed a hybrid machine vision framework (YOLO-Unet-OpenCV) for high-speed granular tracking, achieving >95% segmentation accuracy under magnetic interference.
  • Simulated collective bead motions via COMSOL & C++ simulation, coupling electromagnetic fields, contact mechanics, and fluid-structure interactions to resolve self-organized pattern formation.

    • Multiscale Dynamics of Magnetically Programmable Confined Systems

    Supervisor: Prof. Yilong Han (韩一龙教授)

    HKUST

  • Simulated 2D phase transitions in binary system via LAMMPS, revealing critical melting dynamics and defect evolution under thermal gradients.
  • Engineered 50-nm accuracy E-beam lithography nanoparticles for enhanced thermal dissipation, achieving 40% heat transfer efficiency matching COMSOL electro-thermal predictions.
  • Assembled SU8-based microrobots via photolithography, enabling magnetic-field-driven collective shape morphing for targeted drug delivery with 1 μm spatial precision.
  • Designed a monolayer-confined microchannel (depth = 1 μm) to spatially confine micron-scale particles in 2D, enabled precise probing of low-dimensional dynamics.

    • Machine Learning in Calcium Carbonate Nucleation Mechanism

    Supervisor: Prof. Richard Lakerveld

    HKUST

  • Developed a conductivity-based kinetic assay for CaCO₃ nucleation in supersaturated solutions, correlating ion depletion rates with amorphous-to-crystalline phase transitions
  • Trained an ensemble learning algorithm (MATLAB) on multimodal data (conductivity/pH/temperature), predicting dominant nucleation pathways (dense liquid phase vs. direct ion attachment) with >92% accuracy.

    • Machine Learning Assisted Discovery in Porous Carbon

    Supervisor: Prof. Jian Lin

    MIZZOU

  • Constructed a database of 2,100+ porous carbon samples with 12 descriptors (SSA: 200–3,500 m²/g, PSD: 0.5–50 nm, surface functionalities) for methane uptake prediction (±3.5% error vs. experimental).
  • Developed a hybrid MLP-GBDT model trained on CO₂ adsorption isotherms to predict CO₂/CH₄ selectivity ratios, achieving 90% accuracy in identifying top-performing materials for natural gas purification.

    • Electrochemical Performance of Cathode Material

    Supervisor: Prof. Yangchuan Xing

    MIZZOU

  • Conducted experiments including preparing and synthesizing LiMn0.4Ni0.4Co0.2O2 layered compounds, assembled coin cells under vacuum condition, operated ARBIN battery tester independently.
  • Selected material characterization methods and analyzed test data (MATLAB) independently.

    • Education

    The Hong Kong University of Science and Technology

    2021.09 - Present

    Nanoscience and Technology (PhD)

    RedBird PhD (top 5%) Scholarship

    The Hong Kong University of Science and Technology

    2020.09 - 2021.08

    Master of Chemical & Biomolecular Engineering

    School of Engineering Excellent Student (top 3%)
    GPA: 3.86/4.3 (Excellent)

    University of Missouri-Columbia, U.S.A.

    2016.08 - 2020.05

    Bachelor of Chemical Engineering

    Member of Tau Beta Pi (top 3%)
    GPA: 3.89/4.0 (Magna Cum Laude)

    Research Projects

    assets/fulls/md_simulation2.png

    2D Melting in Binary Crystals (LAMMPS)

    assets/fulls/md_simulation3.jpg

    Antihyperuniformity in Hexatic Phase (HOOMD)

    assets/fulls/magnetic.jpg

    Magnetic-field-induced collective motions (COMSOL)

    Research Video Demos

    assets/fulls/md_simulation.mp4

    2D Melting in Binary Crystals (LAMMPS)

    assets/fulls/shear_modulus.mp4

    Shear Modulus in Binary Crystals (Maniam)

    assets/fulls/magnet_grid.mp4

    Magnetostatic Force Simulation (COMSOL)

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    Language Skills

    Computer Languages

    Software Skills

    Contact Info

    (+86)13316921389, HK: (+1)54833255
    Lab 4141, Physics department, HKUST, Hong Kong
    13316921389
    https://github.com/phuaab