What governs the speed at which raindrops fall, sediment settles in river estuaries, and matter is ejected during a supernova? These questions circle around one, deceitfully simple factor: the rate at ...

For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

One Dimensional object-oriented dynamic systems analysis is a rapidly advancing field within the aerospace and defense industry. This area of simulation empowers users to develop structured and ...

Learn how physics and programming come together in this Python simulation of elastic collisions! In this tutorial, we explore the fundamental principles of momentum and energy conservation while ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

We are developing an innovative sensor system inspired by harbor seal whiskers, aiming to revolutionize underwater detection and tracking. The team's interdisciplinary approach integrates expertise in ...

No two snowflakes may be the same, but models that fail to take these variations into consideration often fall short when calculating the way snow accumulates on roofs. In Physics of Fluids, ...