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  • National Center for Supercomputing Applications, University of Illinois Urbana-Champaign
  • Urbana, IL, US

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QibangLiu/README.md

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Dr. Qibang Liu

Research Scientist, UIUC@NCSA | Adjunct Assistant Professor, KSU


📍 Urbana, Illinois

🏢 NCSA, UIUC

✉️ Email

Google Scholar Google Scholar

ORCID ORCID

ResearchGate ResearchGate

GitHub GitHub

Biography

Dr. Qibang Liu is a Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana–Champaign and an Adjunct Assistant Professor at Kansas State University. His research focuses on advancing state-of-the-art numerical algorithms and AI-driven methods, leveraging high-performance and AI computing to solve multiscale, multiphysics scientific and engineering problems. He develops next-generation tools that enable breakthroughs in materials science, advanced manufacturing, and structural engineering. His core interests include scientific machine learning (SciML), AI-aided engineering (A2E), multiphysics simulation, and computational mechanics.

Research Interests

SciML, A2E (AI-aided Engineering), Multiphysics Simulation, Computational Mechanics, Peridynamics, Advanced Manufacturing

Research

UcVAE for Morphogenic Pattern Design

UcVAE architecture enabling one-to-many mapping from target pattern to feasible process conditions.

Paper | Code | Read More

Geometry-Informed Neural Operator Transformer

GINOT predicts solutions from geometries represented by point cloud.

Paper | Code | Read More

SDF-based Metamaterial Design

SDF-based Metamaterial Design using Diffusion Model

Paper | Code | Read More

XOSBPD for Dynamic Uniaxial Tension Fracture

XOSBPD for Dynamic Uniaxial Tension Fracture

Paper 1 | Paper 2 | Paper 3 | Paper 4 | Code | Read More

Fabric Meshing for Textile Composites

Fabric Meshing for Textile Composites

Paper | DFCA (licensed by Apple Inc. and GE) | Read More

Pinned Loading

  1. PDLSM-FEM_mpi PDLSM-FEM_mpi Public

    PDLSM-FEM solver is a parallel implementation of (adaptively) coupled peridynamics least squares minimization and finite element method (PDLSM-FEM) in 2D and 3D using MPI parallelism. This cross-pl…

    C++ 43 7

  2. GINOT GINOT Public

    GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D geometries. It processes surface point clouds using attention…

    Jupyter Notebook 41 9

  3. SDFGeoDesign SDFGeoDesign Public

    An inverse design framework combining SDF representations with a classifier-free guided diffusion model for one-shot synthesis of functional microstructures. Conditioned on target stress-strain cur…

    Jupyter Notebook 11

  4. UcVAE UcVAE Public

    UcVAE (Univariate Conditional Variational Autoencoder) is a lightweight probabilistic generative model for inverse design tasks. Unlike traditional cVAE models that jointly encode both design and t…

    Jupyter Notebook 7

  5. FPSolver_tutorial FPSolver_tutorial Public

    HTML

  6. SNOT SNOT Public

    Jupyter Notebook 3 1