microstructure

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Polycrystal generation and meshing

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

To classify trades into buyer- and seller-initiated.

Toolbox for particulate microstructure modelling

Microstructure modeling, mesh generation, analysis, and visualization.

Script for the generation of finite-thickness interface elements for polycrystal modelling

A MATLAB/C++ implementation of solid texture synthesis algorithms for constructing statistically representative 3D microstructure datasets from only 2D data.

MATBOX is an open-source MATLAB toolbox dedicated to microstructure analsyis of porous/heterogeneous materials

Gray-matter Based Spatial Statistics

This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Readthedoc documentation below

Limit Orderbook Replay/Analysis Library

Generate random ellipses that cover an area

A Python script to estimate the nearest neighbour distance and perform nearest neighbour Monte Carlo simulations

GAN for synthesizing microstructures based on processing conditions.

An Intelligence Device Used to Detect and Autofocus 3D Microstructures from Ordinary Optical Microscope

This ABAQUS UHYPER subroutine implements the hyperelastic energy density derived in Journal of the Mechanics and Physics of Solids 122 (2019), 364–380 for the macroscopic elastic response of non-Gaussian elastomers weakened by an isotropic and non-percolative distribution of equiaxed pores. This result is valid for any choice of I1-based incompressible energy density characterizing the non-Gaussian isotropic elastic response of the underlying elastomer. The present subroutine is implemented for the choice of strain energy density proposed in Comptes Rendus Mecanique 338 (2010), 3–11.

Collection of code for detection and modeling of jumps (WIP)

Nonparametric Bayesian volatility learning under microstructure noise

MICRESS 6.4 Examples

Identification and analysis of polycrystalline microstructures

Hybrid CPU/GPU FEM code to compute micro-scale properties of composite materials.

Along Tract Analysis of Diffusion Weighted Images

The Python project is to develop a program that conducts machine learning on microstructure images to predict the mercury porosity curves

In-situ Deformation Experiments to study strain localization in Anisotropic crystalline materials

Data Sampling Schemes for Galfenol Microstructure Optimization

ImageJ macros and plugins.

Collection of code for detection and modeling of jumps (WIP)

Stimulated echo diffusion weighted data in fixed pig spinal cord