simulation engines

A newly circulated paper recounts how Los Alamos scientists turned to the Eniac in 1947–1948 to run some of the earliest Monte Carlo simulations, using the pioneering computer to model nuclear processes through random sampling. The episode is widely seen as a founding moment of computational science, showing how wartime computing hardware was repurposed for peacetime physics research and helped establish a technique now used across finance, engineering and beyond.

A new installment of Project SkySim details how a single physics core can be run in three different modes, part of an ongoing series on building a simulation system. The article walks through the engineering choices behind keeping one shared physics implementation while supporting multiple execution paths, an approach aimed at flexibility and easier maintenance in simulation software.

Video game simulation engines are increasingly viewed as dual technologies, with uses stretching beyond entertainment into defence training, industrial modelling and research. The discussion, highlighted in an analysis by Polytechnique Insights, examines how engines originally built for gaming now power serious applications, raising questions about their strategic and commercial value.

Researchers have introduced a new quantum algorithm aimed at a key bottleneck in fluid-flow modeling, a computationally intensive problem in physics and engineering. The development suggests quantum computing could eventually speed up simulations of turbulence and fluid dynamics that strain classical supercomputers. Details on the team behind it and practical timelines remain limited.