Very recommendable! Good news! When will nuclear fusion become commercialized? Perhaps as soon as 3-5 years from now! Forget about so called renewable energy, the scam of wind and solar power!
Modelling a star in a jar – in seconds (original news release) "Scientists have developed an AI tool which can simulate complex fusion plasma in seconds, helping to pave the way for the design of future fusion power plants."
"... Computer scientists and fusion experts have developed an AI model capable of creating complex five-dimensional (5D) plasma turbulence simulations within seconds and at a fraction of previous costs, paving the way for faster and more accurate design of future fusion power plants.
The team of scientists ... have developed an AI tool named GyroSwin, which can create simulations up to 1,000 times faster than traditional computational methods."
From the abstract:
"Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is understanding plasma turbulence, which significantly impairs plasma confinement, and is vital for next-generation reactor design. Plasma turbulence is governed by the nonlinear gyrokinetic equation, which evolves a 5D distribution function over time. Due to its high computational cost, reduced-order models are often employed in practice to approximate turbulent transport of energy. However, they omit nonlinear effects unique to the full 5D dynamics.
To tackle this, we introduce GyroSwin, the first scalable 5D neural surrogate that can model 5D nonlinear gyrokinetic simulations, thereby capturing the physical phenomena neglected by reduced models, while providing accurate estimates of turbulent heat transport.
GyroSwin
(i) extends hierarchical Vision Transformers to 5D,
(ii) introduces cross-attention and integration modules for latent 3D5D interactions between electrostatic potential fields and the distribution function, and
(iii) performs channelwise mode separation inspired by nonlinear physics.
GyroSwin
(i) extends hierarchical Vision Transformers to 5D,
(ii) introduces cross-attention and integration modules for latent 3D5D interactions between electrostatic potential fields and the distribution function, and
(iii) performs channelwise mode separation inspired by nonlinear physics.
We demonstrate that GyroSwin outperforms widely used reduced numerics on heat flux prediction, captures the turbulent energy cascade, and reduces the cost of fully resolved nonlinear gyrokinetics by three orders of magnitude while remaining physically verifiable.
GyroSwin shows promising scaling laws, tested up to one billion parameters, paving the way for scalable neural surrogates for gyrokinetic simulations of plasma turbulence."
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