Recent advances in AI, quantum computing, and physics-based modeling are dramatically accelerating and expanding the scope of simulations across domains from spaceflight to drug discovery.

LightSolver, a pioneer in laser-based computing for physics-intensive workloads, today announced a strategic financial partnership with Boeing (NYSE: BA) to advance laser-based computing acceleration ...

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 ...

Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock ...

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 ...

MUNICH--(BUSINESS WIRE)--SimScale GmbH announced today the worlds’ first fully integrated and cloud-native A.I. based physics predictions coming to its simulation software. SimScale has partnered with ...

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 ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a wildfire's path, intensity, and growth rate. If you've ever been evacuated ...

Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

A Stradivarius violin is one of the most prized instruments in classical music. The few musicians lucky enough to play an ...