Artificial intelligence system: will make unlimited nuclear fusion reactions a reality

In recent years, researchers have been studying the fission reaction that led to the interruption and damage of the tokamak device. At present, an artificial intelligence system capable of predicting and controlling the fission reaction has been selected as the first project of the "Aurora" supercomputer One, the Aurora supercomputer is expected to arrive at Argonne National Laboratory in 2021 and become the first gigabit computer system in the United States. At present, artificial intelligence is working hard to study how to make the earth apply unlimited energy supply. It will eventually unravel the mystery of nuclear fusion energy, allowing researchers to capture and control the processes that drive the sun and stars.

Researchers at the US Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Princeton University hope to use a huge new supercomputer to study how to use this doughnut-shaped device-"tokamaks."

In recent years, researchers have been studying the fission reaction that led to the interruption and damage of the tokamak device. At present, an artificial intelligence system capable of predicting and controlling the fission reaction has been selected as the first project of the "Aurora" supercomputer One, the Aurora supercomputer is expected to arrive at Argonne National Laboratory in 2021 and become the first gigabit computer system in the United States.

The computer system can achieve gigabit operations per second, 50-100 times faster than today's most powerful supercomputer. William Tang, chief research physicist at the Princeton Plasma Physics Laboratory, said: "Our research will use the deep learning methods of artificial intelligence to accelerate progress.

This groundbreaking project will try to develop a method verified by experiment for predicting and controlling ITER and other combustion plasma fusion systems. This method will verify the effective practicability of fusion energy. It is reported that the full name of ITER is "International Thermonuclear Fusion Experimental Reactor", also known as "artificial sun" by people. The construction site is located in the small town of Cadarache in the south of France. Seven countries including the European Union, the United States, China, Japan, South Korea, India and Russia participated together. TIER is also known as the most complex scientific project in human history.

Nuclear engineers at the ITER plant have now recruited a group of rocket scientists to help them make super-strong materials that can withstand hotter temperatures than the sun. The diameter of the ITER device is 5 meters, and the solid cross-section is 30 × 30 cm. The compression ring of ITER will fix the huge magnet in place.

The hydrogen plasma will be heated to 150 million degrees Celsius, which is 10 times higher than the temperature of the sun's core, so that the fusion reaction will proceed. The fusion reaction takes place in a donut-shaped reactor called "Tokamak", which is surrounded by giant magnets that limit and circulate the superheated ionized plasma, keeping them away from the metal wall.

This superconducting magnet must be cooled to minus 269 degrees Celsius, as cold as interstellar space. For a long time, scientists have been trying to simulate the nuclear fusion process that takes place inside the sun, thinking that it can provide almost unlimited amounts of cheap, safe and clean power resources.

Unlike existing fission reactors, fission reactors will split plutonium and uranium atoms, there is no risk of uncontrolled fusion chain reaction, and there will be no long-term radioactive waste.

The deep learning software system developed by the Princeton Plasma Physics Laboratory is also called "recursive neural network fusion system (FRNN)". It is composed of neural networks, and users can train computers to detect events of interest through neural networks.

At the same time, this artificial intelligence "recursive neural network fusion system" can quickly predict how large-scale tokamak plasma decomposes during fission reactions and take effective control measures in a timely manner.

The overall goal of this study is to meet the challenging requirements of the International Thermonuclear Fusion Experimental Reactor (ITER), which requires a prediction accuracy of 95% and a false alarm rate of less than 5%, at least 30 milliseconds or more before fission occurs Time happens.

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