a general library for fatigue and reliability
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Updated
Jul 5, 2024 - Python
a general library for fatigue and reliability
A simple and fast python library to handle the data generated from molecular dynamics simulations
The Wren sits on its Roost in the Aviary.
A physics computational framework for python and ipython
Quanfima (Quantitative Analysis of Fibrous Materials)
Python module for scientists working with glass materials
Python package providing some useful tools when dealing with molecules and materials under periodic boundary conditions and uniform grids. This is a mirror of https://gitlab.com/ales.genova/pbcpy
Statistical models to predict new materials
V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.
Builds 2D heterostructures via coincidence lattice theory.
Code allows the use of different machine learning methods to predict efficiency of organic photovoltaics using different descriptors
Machine vision for vial positioning detection toward the safe automation of material synthesis
Python package for the definition of materials used during mechanical engineering calculations
PQAnalysis is a API/CLI python package for the analysis of MD simulations
RegEx-based text parser that converts chemical terms and material entities into chemical datastructure.
python Low Energy Electron Analysis SuitE
Tool to draw reaction energy diagrams, reaction energies and reaction energetics using Python and matplotlib
Python library used to analyze fiber reinforced composite materials.
The Alchemist uses a pool of optimization algorithms and machine learning models to search for viable glass compositions for a given glass transition temperature (Tg) value.
This repository contains the Python code for generating the (ABAQUS Explicit v6.14) CAE files associated with the research paper titled "Nature-Inspired Cellular Structure Design for Electric Vehicle Battery Compartment: Application to Crashworthiness" with doi:10.3390/app10134532
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