Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...
For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...
SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for ...
Morning Overview on MSN
New fusion-focused supercomputer begins work on AI simulations
The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...
Near-simulation-level precision at AI scale supports advanced engineering programs, including Sceye’s stratospheric platforms ...
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 ...
Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...
Liquid metal jetting (LMJ) is a new technology showing promise for improved speed, cost, and safety of metal AM, thus opening the doors to broader industrial adoption. LMJ is still a very young ...
But as the chip maker seeks to parlay its semiconductor dominance into control of the full stack, vendor lock-in is a major risk, says one analyst. Nvidia hopes that its new open-source AI model for ...
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