In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...

Jaxion is built for multi-GPU scalability and is fully differentiable. It is a high-performance JAX-based simulation library for modeling fuzzy dark matter alongside stars, gas, and cosmological ...

Comprehensive computational framework for REBCO HTS coils and plasma physics applications. Features validated 7.07T superconducting magnet designs, Lentz soliton simulation with interferometric ...

Matrix-vector multiplications form the core of a plethora of scientific computing and machine learning applications that include solving partial differential equations, forward and back propagation in ...

The computational neuroscience field has heavily concentrated on the modeling of neuronal functions, largely ignoring other brain cells, including one type of glial cell, the astrocytes. Despite the ...