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Avoiding fusion plasma tearing instability with deep reinforcement ...


(PDF) Avoiding tokamak tearing instability with artificial intelligence

However, the obstacles here, the tearing instability, are difficult to forecast and highly prone to terminating plasma operations. In our recent ...

AI Can Predict and Prevent Fusion Reaction Instabilities - Securities.io

The team then trained a reinforcement learning (RL) algorithm on their neural network, which can try out different strategies for controlling ...

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 ...

‪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 ...

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.

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 ...

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 ...

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 ...

Researchers use AI to stabilise nuclear fusion reactions

The paper, “Avoiding fusion plasma tearing instability with deep reinforcement learning,” was published in Nature. In addition to Kolemen ...

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 ...

‪Andrew Rothstein‬ - ‪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 ...

AI can predict and prevent fusion plasma instabilities in milliseconds

Applied AI: Tearing mode instabilities are plasma disturbances in which the magnetic field lines within a plasma actually break, creating an ...

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 ...

Controlling Fusion Reactor Ins - Apple Podcasts

Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand ... avoid a fatal plasma instability called 'tearing ...

Carlos E. Perez - X.com

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

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 ...

High-Fidelity Data-Driven Dynamics Model for Reinforcement ... - arXiv

et al. Avoiding fusion plasma tearing instability with deep reinforcement learning. Nature 626, 746–751 (2024). [ ...

Jaemin Seo (0000-0003-0635-0282) - ORCID

Avoiding fusion plasma tearing instability with deep reinforcement learning ... Avoiding tokamak tearing instability with artificial intelligence. 2023-07 ...

Ric Fulop /acc on X: "Impressive work from @princeton to use AI as ...

... plasma instability in a fusion reactor https://t.co/GDXvOMVHQN. ... Avoiding fusion plasma tearing instability with deep reinforcement learning.