With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
You don't have to rewrite your entire codebase to get better performance from existing numerical computation routines. Taichi is a domain-specific language (DSL) that accelerates NumPy and Torch ...
BurnMan is a free, open-source toolkit written in Python. It is designed to compute thermodynamic and thermoelastic properties of geological and planetary materials — from pure mineral ``endmembers'', ...
Graph deep learning models, which incorporate a natural inductive bias for atomic structures, are of immense interest in materials science and chemistry. Here, we introduce the Materials Graph Library ...
We present NeuralMag, a flexible and high-performance open-source Python library for micromagnetic simulations. NeuralMag leverages modern machine learning frameworks, such as PyTorch and JAX, to ...
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian ...
Lightkurve is a community-developed, open-source Python package which offers a beautiful and user-friendly way to analyze astronomical flux time series data, in particular the pixels and lightcurves ...
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