Skip to content
View shayansss's full-sized avatar
:octocat:
Always learning
:octocat:
Always learning
10 followers · 9 following

Block or report shayansss

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
shayansss/README.md

My PhD and MSc Research Data

  • EHML: Extended Hybrid Machine Learning: Implementation of several extensions, including physics-constrained data augmentation, on multi-fidelity surrogate modeling using TensorFlow and Abaqus.
  • PSA: Pre-Stress Algorithm: This is a unified optimizer for large-scale pre-stressing analysis in articular cartilage models using Abaqus Fortran subroutines and Python scripts.
  • HML: Hybrid Machine Learning: Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.
  • PMSE: Pointwise Mean Squared Error: Implementation of a simple pointwise metric for machine-learning-based surrogate modeling in Python using Keras and Abaqus.
  • BioUMAT: Abaqus Fortran subroutine for cartilage multiphasic modeling: This code is the Fortran 77 version of the UMAT, FLOW, and SDVINI subroutines of the cartilage model, I firstly proposed in my Master's thesis. The model with minor modifications was used in several publications.

Popular repositories Loading

  1. hml hml Public

    Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.

    Jupyter Notebook 11 2

  2. pmse pmse Public

    Implementation of a new pointwise metric using Keras and Abaqus.

    Jupyter Notebook 8 1

  3. bioumat bioumat Public archive

    This code is the Fortran 77 version of the UMAT, FLOW, and SDVINI subroutines of the cartilage model, I firstly proposed in my Master's thesis. The model with minor modification was used in several…

    Fortran 3 3

  4. psa psa Public

    Large scale implementation of pre-stressing in a multiphasic cartilage model in Abaqus

    Python 3

  5. ehml ehml Public

    Implementation of several extensions, including physics-constrained data augmentation, on multi-fidelity surrogate modeling using TensorFlow and Abaqus.

    Jupyter Notebook 1

  6. shayansss.github.io shayansss.github.io Public

    Forked from academicpages/academicpages.github.io

    Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

    JavaScript