Update adds agentic model generation, FMU interoperability, HVAC workflows and digital twin tools for predictive maintenance. Cooling circuit in a typical data center. Cooling circuit models are used ...
As investment in Physical AI accelerates, simulation is taking on a much larger role than simply generating synthetic training data. HPC-based physics simulation is increasingly being used to improve ...
For process engineers facing rising manufacturing complexity, physics-based simulation provides the foundation for understanding what is happening on the wafer. AI, automation, and digital twins ...
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 ...
A new performance-based weighting framework gives greater influence to hard-to-simulate variables like precipitation and wind ...
BOSTON, Dec. 18, 2025 /PRNewswire/ -- Flexcompute, the superintelligence platform for physics-based simulation, today announced the commercial availability of Flow360 on Rescale, a digital engineering ...
Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...
Cambridge researchers have built and experimentally validated the first complete physical simulation of the Evaporative Light ...
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 ...
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 ...
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