A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
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Updated
Jun 7, 2024
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
An automatic engine for predicting materials properties.
This project shows how to create a compilation project for MFront properties, behaviours and models
Database of engineering material properties with python interface
This repository has properties for different groups of material. The main idea is to provide accesible properties for comparison.
Generative AI-based Software for Material Property and Database Generation
Material properties database
An interactive web app for bioplastic material properties data. We plot material properties for bioplastics properly
Material properties calculator
A Flutter package for calculating composite material properties, including lamina and laminate properties.
A tool for preprocessing, extracting, and identifying critical regions of interest in AFM protein sample data. The repository applies the Lennard-Jones Potential fit to analyze and model the interaction forces at the nanoscale, providing insights into protein structure and behavior.
Micro and nano energy generation using piezoelectric energy harvesters. Study and comparison of the properties of vibration using different substrate’s materials i.e. silicon steel and stainless steel and different bluff bodies i.e. half cylinder with fins and half cylinder without fins at varying Reynold numbers.
A tool for optimizing spiral torsion springs, intended for but not limited to 3D-printing.
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