Python wrapper for the Fullwave 2 simulation. Fullwave 2 is a high-fidelity, finite-difference time-domain (FDTD) ultrasound wave propagation simulation. It includes a comprehensive set of wave ...

FEHM Homepage • FEHM Documentation • Major Release V3.6.2 The numerical background of the FEHM computer code can be traced to the early 1970s when it was used to simulate geothermal and hot dry rock ...

Learn how to model a wave on a string using Python and the finite difference method. This lesson connects electrodynamics, numerical methods, and wave physics by showing how a vibrating string can be ...

We introduce an extension of the hopping method, typically used in quantum systems, to mechanical networks for constructing dynamical matrices. This innovative and efficient approach facilitates the ...

Abstract: This paper presents new efficient algorithms for implementing 3-D Crank-Nicolson-based finite-difference time-domain (FDTD) methods. Two recent methods are considered, namely, the ...

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 ...

When learning Python, you’ll often come across the terms methods and functions. While they might seem similar, they have distinct differences that are important to understand. This blog post will ...

This course, will be delivered on my LinkedIn blog, in a series of 5-minute lessons. It will delves deep into the world of computational electromagnetics (CEM) using the Finite-Difference Time-Domain ...

Micromagnetic simulations are widely used in a range of applications, from magnetic storage technologies and the design of hard and soft magnetic materials, to the modern fields of magnonics, ...

Physical scientists and engineering research and development (R&D) teams are embracing neural networks in attempts to accelerate their simulations. From quantum mechanics to the prediction of blood ...

Abstract: Domain specific languages (DSL) have been used in a variety of fields to express complex scientific problems in a concise manner and provide automated performance optimization for a range of ...