GitHub

Quantum algorithms for solving differential equations.

This project is part of Julia's Season of Contribution 2019. For an introduction to the algorithms and an overview of the features, you can take a look at the blog posts: #1, #2.

Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Making sense of a chaotic planet: How understanding weather, climate risks depends on supercomputers like NCAR's

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...
Earth.com

Math trick speeds up seismic calculations to transform earthquake preparedness

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.
IEEE

Transfer Learning Fourier Neural Operator for Solving Parametric Frequency-Domain Wave Equations

Abstract: Fourier neural operator (FNO) is a recently proposed data-driven scheme to approximate the implicit operators characterized by partial differential equations (PDEs) between functional spaces ...
GitHub

zwicker-group/py-pde

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
IEEE

Solving Future Different-Layer Nonlinear and Linear Equation System Using New Eight-Node DZNN Model

Abstract: In this article, a future different-layer nonlinear and linear equation system (DLNLES) is investigated. First, based on a zeroing neural network (ZNN) method, a zeroing equivalency theorem ...