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Avoiding fusion plasma tearing instability with deep ...


Avoiding fusion plasma tearing instability with deep reinforcement ...

Artificial intelligence control is used to avoid the emergence of disruptive tearing instabilities in the magnetically confined fusion plasma in the DIII-D ...

Magnetic control of tokamak plasmas through deep reinforcement ...

Nuclear fusion using magnetic confinement, in particular in the tokamak configuration, is a promising path towards sustainable energy.

Multimodal Prediction of Tearing Instabilities in a Tokamak - OSTI.GOV

Here, this instability can lead to plasma disruption that terminates the fusion power generation and damages the plasma-facing wall materials.

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Avoiding fusion plasma tearing instability with deep reinforcement learning · https://doi.org/10.1038/s41586-024-07024-9 · 2024 ; Neural net modeling of equilibria ...

Machine learning control for disruption and tearing mode avoidance

For these two different situations, we need two different algorithms to detect and predict them. To prevent the plasma from crossing the ...

DIII-D in the News - DIII-D National Fusion Facility

Nature Article: Avoiding fusion plasma tearing instability with deep reinforcement learning (Seo et al.) Media: Fusion Reactor Promises Limitless Energy.

‪Joseph Abbate‬ - ‪Google Scholar‬

Avoiding fusion plasma tearing instability with deep reinforcement learning. J Seo, SK Kim, A Jalalvand, R Conlin, A Rothstein, J Abbate, K Erickson, ... Nature ...

Multi-Task Network-Based Confinement Mode Identification ...

“Avoiding Fusion Plasma Tearing Instability with Deep Reinforcement Learning.” Nature, vol. 626, no. 8000, Feb. 2024, pp. 746–51. [4] Orozco ...

Current State of DIII-D Plasma Control System - ScienceDirect

There are more references available in the full text version of this article. Cited by (6). Avoiding fusion plasma tearing instability with deep reinforcement ...

The causes of the disruptive tearing instabilities of the ITER Baseline ...

Publications that cite this publication · Avoiding fusion plasma tearing instability with deep reinforcement learning · Progress in disruption prevention for ITER.

How AI Technology Boosts Controlled Nuclear Fusion Deve

The results showed that the AI controller effectively reduced the likelihood of disruptive tearing instabilities in DIII-D, allowing the plasma ...

AI Reinforces Stability In Fusion Energy Production, Reducing ...

In modern tokamaks, the plasma pressure is often limited by the onset of neoclassical tearing instability because the perturbation of pressure- ...

Carlos E. Perez - X.com

As outlined in “Avoiding fusion plasma tearing instability with deep reinforcement learning”, the unpredictable and catastrophic nature of ...

Data-driven study of major disruption prediction and plasma ...

The use of nuclear fusion energy via magnetic-confinement tokamaks is one of a few encouraging paths toward future sustainable energy.

Diag2Diag: Multimodal super-resolution diagnostics for physics ...

... avoiding unstable regimes. It was recently shown that ... Avoiding fusion plasma tearing instability with deep reinforcement learning.

Magnetic control of tokamak plasmas through deep reinforcement ...

A core challenge is to shape and maintain a high-temperature plasma within the tokamak vessel. This requires high-dimensional, high-frequency, closed-loop ...

AI solves nuclear fusion puzzle for near-limitless clean energy - Yahoo

The latest research was published in the scientific journal Nature on Wednesday in a paper titled 'Avoiding fusion plasma tearing instability ...

Progress in disruption prevention for ITER

... tearing mode stability for tokamak disruption avoidance, Proc. 44th EPS Conf. on Plasma Physics, Europhysics Conf. Abstracts, Vol. 41F (2017), paper P1.138 ...

Avoiding Fusion Plasma Tearing Instability With Deep ... - Scribd

s41586-024-07024-9 - Free download as PDF File (.pdf), Text File (.txt) or read online for free.

Document is current - Crossmark - Crossref

Any future updates will be listed below. Avoiding fusion plasma tearing instability with deep reinforcement learning. Crossref DOI link: https ...