JOSS Papers: materials modelling

Published Papers

published Published 3 months ago

flodym: A Python package for dynamic material flow analysis

Python

10.21105/joss.10105

published Published about 1 year ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python

10.21105/joss.06256

published Published almost 2 years ago

pyGCodeDecode: A Python package for time-accurate GCode simulation in material extrusion processes

Python G-code

10.21105/joss.06465

published Published about 2 years ago

matbench-genmetrics: A Python library for benchmarking crystal structure generative models using time-based splits of Materials Project structures

Jupyter Notebook Mathematica Python

10.21105/joss.05618

published Published about 2 years ago

pylattica: a package for prototyping lattice models in chemistry and materials science

Python

10.21105/joss.06170

published Published about 2 years ago

GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials

Python PureBasic Jupyter Notebook

10.21105/joss.06338

published Published about 2 years ago

doped: Python toolkit for robust and repeatable charged defect supercell calculations

Python Ruby Jupyter Notebook

10.21105/joss.06433

published Published about 2 years ago

Hyperelastics.jl: A Julia package for hyperelastic material modelling with a large collection of models

Julia

10.21105/joss.06314

published Published almost 3 years ago

TauFactor 2: A GPU accelerated python tool for microstructural analysis

Jupyter Notebook Python

10.21105/joss.05358

published Published over 3 years ago

py-sc-fermi: self-consistent Fermi energies and defect concentrations from electronic structure calculations

Python

10.21105/joss.04962

Displaying papers 1 - 10 of 12 in total

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