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lyyc199586/README.md

Yangyuanchen Liu

I am a Postdoctoral Fellow in the Department of Civil and Systems Engineering at Johns Hopkins University, working with Professor Somnath Ghosh.

My research develops computational and data-driven methods for mechanics. I am particularly interested in neural operators, digital twins, multiscale computational mechanics, inverse problems, and differentiable modeling. My broader work also includes phase-field fracture and coupled multiphysics simulation.

Research

  • Neural operators and scientific machine learning for mechanics
  • Digital twins and inverse problems for materials and structures
  • Multiscale computational mechanics and differentiable modeling
  • Phase-field fracture and coupled multiphysics simulation

Recent work

  • Neural operator-based damage sensing digital twin for piezocomposites with Parametrically Upscaled Coupled Constitutive Damage Model — accepted in Computer Methods in Applied Mechanics and Engineering. DOI

See my publications for additional work.

Background

  • Ph.D. in Computational Mechanics, Duke University, 2024 (advisor: Professor John Dolbow)
  • M.S. in Mechanical Engineering, Shanghai Jiao Tong University
  • B.S. in Materials Science and Engineering, Jilin University

Website · CV · Google Scholar · ORCID · LinkedIn · Email

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  1. raccoon raccoon Public

    Forked from hugary1995/raccoon

    Massively parallel FEM code for phase-field for fracture by Dolbow Lab at Duke University

    C++ 1

  2. moose moose Public

    Forked from idaholab/moose

    Multiphysics Object Oriented Simulation Environment

    C++

  3. pvfilters pvfilters Public

    Custom python plugins for ParaView

    Python 2

  4. md-slides md-slides Public template

    use pandoc to generate HTML and pdf slides from markdown

    HTML

  5. cm-vis cm-vis Public

    postprocessing and visualization scripts for FEM simulations using matplotlib

    Python 1

  6. lyyc199586.github.io lyyc199586.github.io Public

    Academic website and blog built on Quarto

    TeX