More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
This is a Python code for timeseries analysis using WWZ transformations. It uses Foster's abbreviated Morlet Wavelet to analyse timeseries using a WWZ (Weighted ...
S2FFT is a Python package for computing Fourier transforms on the sphere and rotation group (Price & McEwen 2024) using JAX or PyTorch. It leverages autodiff to provide differentiable transforms, ...
Department of Computer Science, University of York, York, UK. Kolmogorov complexity is a unique formalisation of complexity which quantifies “information” from an algorithmic point of view [1] and has ...
Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...
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