a general library for fatigue and reliability
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Updated
Jul 25, 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
PQAnalysis is a API/CLI python package for the analysis of MD simulations
Python library used to analyze fiber reinforced composite materials.
Python package for the definition of materials used during mechanical engineering calculations
python Low Energy Electron Analysis SuitE
Tool to draw reaction energy diagrams, reaction energies and reaction energetics using Python and matplotlib
RegEx-based text parser that converts chemical terms and material entities into chemical datastructure.
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.
Graph Neural Network for Projected Density of States Prediction
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