Let’s delve into how F1 engines are developed, through advanced simulations, reliability testing, and performance development ...

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers at Sandia National Lab. Abstract “The finite element method (FEM) is one of ...

Department of Orthopaedics, Traumatology, and Sports Medicine, Central Clinical Hospital of the Ministry of Internal Affairs and Administration, Warsaw, Poland Faculty of Physics and Engineering ...

HCI, human–computer interaction; IoT, Internet of Things; NAS, network-attached storage; SAN, storage area network; VR/AR, virtual reality/augmented reality. The ocean covers 71% of Earth’s surface ...

Researchers have developed a powerful new method to simulate and predict how cracks form and grow in engineering materials under repeated loading. The study, recently published in the International ...

Manufacturing encompasses various physical phenomena, including processes for burr creation, plastic deformation, frictional contact, and thermo-mechanical coupling, among others. Undoubtedly, the ...

We now support multi-physics problems in the sense that multiple variables can be solved monolithically. For example, consider running python -m applications.stokes.example Weak form is now defined ...

Hi and welcome to the FEMpy_3D project! FEMpy_3D is a fully object-oriented FEM solver in 3D-space, which can use both the direct stiffness method as well as explicit time integration (Forward-Euler ...