JuliaHub today announced Dyad 3.0, a major release of its AI-native systems simulation platform for the design, refinement, ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

Why real-world, physics-based simulation is important to designers. What is a pluggable solver? What is Ansys Perceive EM? These days, most products are simulated well before they’re constructed or ...

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate systems, research formulations, derive governing equations, assemble models, run ...

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 ...

Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

Researchers at Rice University and Oak Ridge National Laboratory have unveiled a physics-based model of magnetic resonance relaxation that bridges molecular-scale dynamics with macroscopic magnetic ...

Not so long ago, supply chain disruptions were limited to a dockyard strike or a storm off the Atlantic Coast. Now vulnerabilities are everywhere: A pandemic shuts down entire factories, tariffs shift ...

As someone who spent almost a decade at Google building on-device AI and multimodal sensing systems before founding Archetype ...