German Aerospace Center (DLR) - Institute for Frontier Materials on Earth and in Space

CrackMNIST - A Large-Scale Dataset for Crack Tip Detection in Digital Image Correlation Data

Pipeline for multi-objective alloy optimization using Factorization Machines (FM) combined with a QUBO (Quadratic Unconstrained Binary Optimization) model solver (FM+QO).

Many-body analysis on top of Quantum ESPRESSO calculations

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Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation

The data exporter is a third-party Python package that enables the export of 3D digital image correlation (DIC) data from a Zeiss GOM Inspect/ARAMIS Professional project in a neutral and human-readable ASCII data format

Implementation of the ExcitationSolve optimization algorithm for variational ansätze consisting of excitation operators.

Attention-Guided Training for Materials Mechanics

Explainable ML for fatigue crack tip detection - Implementation

Many-body matrix elements calculation using Rust

This repository provides a collection of examples demonstrating the use of ANSYSs proprietary Crack Growth Algorithm SMART (Separating, Morphing, and Adaptive Remeshing Technology) for 3D Finite Element Method (FEM) simulations.

Tool for analyzing the fractured surface based on a digitalized model obtained by 3D scanning - characterization of three-dimensional features

Tool for analyzing and characterizing the crack tip plastic zone shape based on strain fields obtained via FE simulation or DIC data

Crack propagation finite element model for obtaining fracture surface pressure distributions

Physics-guided generative adversarial network for interpolated digital image correlation data

Implements an interface between Quantum Espresso and Qiskit

This repository provides the ANSYS apdl code that was used for investigating plasticity-induced crack closure within the paper: Plasticity-induced crack closure identification during fatigue crack growth in AA2024-T3 by using high-resolution digital image correlation

Using deep symbolic regression for the discovery of a causal relationship between Williams coefficients and crack tip position using PhySO

Advanced crack tip field characterization using conjugate work integrals