Computational Physics
Showing 9 of 9 projects
A differentiable, hardware-accelerated molecular dynamics simulation framework built on JAX for computational physics and materials science.
A Python library built on JAX for studying many-body quantum systems using neural networks and machine learning.
A pure Python library for finite element assembly, transforming bilinear forms into sparse matrices and linear forms into vectors.
A photovoltaic simulator with automatic differentiation for solar cell modeling and optimization, built on JAX.
Interactive 3D graphics in Jupyter notebooks using Python for scientific visualization and education.
A differentiable ray tracing toolbox for radio propagation simulations, built on JAX for optimization and machine learning.
A high-performance JAX-based library for computing optical properties of multilayer thin-film structures using the transfer matrix method.
A 1D3V particle-in-cell simulation code for plasma physics, accelerated using JAX for performance on CPUs, GPUs, and TPUs.
A command-line tool for designing, simulating, and analyzing antenna arrays using distributed computing via the Golem Network.
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