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.

Zenithon has raised $10 million in funding to build AI world models capable of simulating extreme physics. The startup says such models could help researchers and engineers understand conditions that are difficult or dangerous to test in the real world, from high-energy environments to advanced materials. Details on investors and product plans remain limited so far.