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simulation engines
Trends
- 1IBM and Dallara partner on AI and quantum vehicle designโIBM, Dallara to advance AI and quantum-powered design for vehicles
IBM and Italian racing car manufacturer Dallara have announced a partnership to advance AI and quantum computing-powered design for vehicles. The collaboration aims to apply IBM's computing technologies to Dallara's automotive engineering, potentially speeding up simulation and optimisation in vehicle development. The announcement drew attention across technology and motorsport media.
- 2Bentley to Recreate V8 Sound With Recorded Orchestra for Its EVsโBentley's EV Will Use an Orchestra to Replicate the Sound of a V8
Bentley says its upcoming electric cars will use orchestra recordings to simulate the deep sound of its classic V8 engines, aiming to preserve the brand's signature character as it moves away from combustion. The luxury automaker, which has committed to an all-electric lineup, is turning to musical instruments rather than synthesized engine noise to craft a distinctive sound for drivers.
- 3Researchers apply quantum computing to molten salt reactor chemistryโTeam brings quantum computing into FLiBe chemistry calculations
A research team has used quantum computing to perform FLiBe chemistry calculations, according to the American Nuclear Society. FLiBe, a molten fluoride salt mixture of lithium and beryllium, is a leading coolant and fuel carrier for molten salt reactor designs. Accurate predictions of its chemical behavior are difficult for classical computers, making the work a notable step toward applying quantum methods to nuclear reactor design and simulation.
- 4Developer shows networked physics engine running without crashesโStill a ways before it's ready for games, but I can throw things around in the networked physics engine without crashes,
A game developer reports a working milestone on WorldFabric, a networked physics engine: objects can now be thrown around the simulation without crashes, desyncs or stutter. The developer stresses the engine is still far from ready for actual games, but the stability progress is being shared with the game development community as an early technical achievement.
- 5MIT AI builds its own physics simulator to redesign grapheneโผAn MIT AI built its own physics simulator and used it to redesign graphene
Researchers at MIT report that an artificial intelligence system constructed its own physics simulator and applied it to redesign graphene, the one-atom-thick carbon material prized for its strength and conductivity. The result suggests AI can go beyond analysis to invent new tools for scientific simulation, a step with potential implications for materials science and engineering.
- 6Zenithon raises $10 million to model extreme physicsโผZenithon raises $10M to build world models for extreme physics
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.
- 7Video game simulation engines enter the dual-use technology debateโผSimulation engines: video games in the age of dual technologies
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.
- 8Project SkySim Part 2: One Physics Core, Three Ways to Run ItโผProject SkySim, Part 2: One Physics Core, Three Ways to Run It
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.
- 9Los Alamos Bets on Eniac: Nuclear Monte Carlo Simulations, 1947โ1948โLos Alamos Bets on Eniac: Nuclear Monte Carlo Simulations, 1947โ1948 [pdf]
A newly circulated paper recounts how Los Alamos scientists turned to the Eniac in 1947โ1948 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.
- 10New Quantum Algorithm Targets Fluid-Flow BottleneckโNew Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling
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.
- 11
The fourth instalment in a physics programming series is out, this time focusing on the physics update loop โ the core step in game engines where forces, collisions and movement are advanced at a fixed rate. It continues a series that has been walking developers through the basics of simulating physics in their own code.
Repos
- Alex314618-create/JevRev An LLM + Jev workflow that changes EVERYTHING. Boost your vertebrate brain with a spine inside.
- dgreenheck/tidewater Coastal town built with Opus 5.5
- zhengkid/Dream-RSI The offical repo for "Dream-RSI: Recursive Self-Improvement through Evolving Worlds"