2D-Finite Element Analysis with Python

physics-informed neural network for elastodynamics problem

EasyFEA is a user-friendly Python library that simplifies finite element analysis.

Finite Element Modeling (FEM) Code: Python Tools, Field II Intensity Field Solution, LS-DYNA Pre/Post Processing

Utilities for doing calculations in continuum mechanics.

Semiemperical quasiharmonic thermal elasticity

Bolted Joint Stress Field Model

The autoscaling simulation toolbox provides tools to experiment with policies for multilayered autoscaling (inc. VM clusters and applications). Multiverse simulator is the core of the toolbox. Using it, one can evaluate autoscaling policies under different conditions, including various applications, platforms, and workloads.

A Python package that can verify the necessary and sufficient elastic stability conditions in various crystal systems

Model of thermo-hyperelasticity using Constitutive Artificial Neural Networks

Deforming crystal (lagrangian strain) for VASP

Simulations for snake kinematics with anisotropic friction.

Library for finding Lorentzian distributions using machine learning.

Bauer, J. K., & Böhlke, T. (2022). On the dependence of orientation averaging mean field homogenization on planar fourth-order fiber orientation tensors. Mechanics of Materials, 104307.

A pure python finite element solver based on volmdlr 3D modeler

Implementation of a generalised von Kármán model for multilayered plates

Supporting classes in Python for easily scaling Kubernetes clusters (under development)

A tool for optimizing spiral torsion springs, intended for but not limited to 3D-printing.

Young's Modulus

Source code for the project "Achieving Automated Elasticity in MongoDB Document-Store Clusters"