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China’s ‘artificial sun’ project to harness nuclear fusion energy

China’s “artificial sun” will achieve nuclear fusion by the middle of this century, one of the project leaders said Wednesday.

HL-2M Tokamak, the modified Chinese-designed “artificial sun” and a device to harness energy from fusion, will be completed this year. It is expected to increase the electricity intensity from one mega amperes to three mega amperes, an important step to achieve nuclear fusion, a spokesperson surnamed Liu with the press office of the Southwestern Institute of Physics (SWIP), affiliated with China National Nuclear Corporation, told the Global Times. An ampere is a standard measurement of electric current.

For instance, the deuterium (also known as heavy hydrogen) extracted from one liter of seawater releases the energy equivalent of burning 300 liters of gasoline in a complete fusion reaction, Liu said.

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Is Lockheed Martin working on a nuclear fusion-powered fighter jet?

Circa 2018


Lockheed Martin quietly obtained a patent for what could be a game-changing nuclear fusion reactor, one that could potentially fit into a fighter jet.

If the latest patent from defence manufacturing giant Lockheed Martin is anything to go by, nuclear fusion technology could revolutionise the future of travel.

For those not in the know, a nuclear fusion reactor is one of the holy grails of science, promising to replicate the inner workings of the sun in a confined reactor, capable of generating huge, near-limitless amounts of energy cheaply with no environmental impact.

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Artificial intelligence speeds efforts to develop clean, virtually limitless fusion energy

Artificial intelligence (AI), a branch of computer science that is transforming scientific inquiry and industry, could now speed the development of safe, clean and virtually limitless fusion energy for generating electricity. A major step in this direction is under way at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University, where a team of scientists working with a Harvard graduate student is for the first time applying deep learning—a powerful new version of the machine learning form of AI—to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks that house the reactions.

Promising new chapter in fusion research

“This research opens a promising new chapter in the effort to bring unlimited energy to Earth,” Steve Cowley, director of PPPL, said of the findings, which are reported in the current issue of Nature magazine. “Artificial intelligence is exploding across the sciences and now it’s beginning to contribute to the worldwide quest for fusion power.”


Researchers Just Demonstrated Nuclear Fusion in a Device Small Enough to Keep at Home

When it comes to the kinds of technology needed to contain a sun, there are currently just two horses in the race. Neither is what you’d call ‘petite’.

An earlier form of fusion technology that barely made it out of the starting blocks has just overcome a serious hurdle. It’s got a long way to catch up, but given its potential cost and versatility, a table-sized fusion device like this is worth watching out for.

While many have long given up on an early form of plasma confinement called the Z-pinch as a feasible way to generate power, researchers at the University of Washington in the US have continued to look for a way to overcome its shortcomings.


Removing Fuel Rods, Japan Hits Milestone in Fukushima Nuclear Cleanup

The operator of Japan’s ruined Fukushima nuclear power plant began removing radioactive fuel rods on Monday at one of three reactors that melted down after an earthquake and a tsunami in 2011, a major milestone in the long-delayed cleanup effort.

Thousands of former residents have been barred from the area around the plant for years as crews carried out a large-scale radioactive waste cleanup in the aftermath of the worst nuclear disaster since Chernobyl. The process of removing the fuel rods from a storage pool had been delayed since 2014 amid technical mishaps and high radiation levels.

The plant operator, Tokyo Electric Power, said in a statement that workers on Monday morning began removing the first of 566 spent and unspent fuel rods stored in a pool at the plant’s third reactor. A radiation-hardened robot had first located the melted uranium fuel inside the reactor in 2017.

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Nuclear fusion breakthrough breathes life into the overlooked Z-pinch approach

Nuclear fusion holds untold potential as a source of power, but to recreate the colliding atomic nuclei taking place inside the Sun and generate inexhaustible amounts of clean energy scientists will need to achieve remarkable things. Tokamak reactors and fusion stellarators are a couple of the experimental devices used in pursuit of these lofty goals, but scientists at the University of Washington (UW) are taking a far less-frequented route known as a Z-pinch, with the early signs pointing to a cheaper and more efficient path forward.

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Getting a big look at tiny particles

At the turn of the 20th century, scientists discovered that atoms were composed of smaller particles. They found that inside each atom, negatively charged electrons orbit a nucleus made of positively charged protons and neutral particles called neutrons. This discovery led to research into atomic nuclei and subatomic particles.

An understanding of these ’ structures provides crucial insights about the forces that hold matter together and enables researchers to apply this knowledge to other scientific problems. Although electrons have been relatively straightforward to study, protons and neutrons have proved more challenging. Protons are used in medical treatments, scattering experiments, and fusion energy, but nuclear scientists have struggled to precisely measure their underlying structure—until now.

In a recent paper, a team led by Constantia Alexandrou at the University of Cyprus modeled the location of one of the subatomic particles inside a , using only the basic theory of the strong interactions that hold matter together rather than assuming these particles would act as they had in experiments. The researchers employed the 27-petaflop Cray XK7 Titan supercomputer at the Oak Ridge Leadership Computing Facility (OLCF) and a method called lattice quantum chromodynamics (QCD). The combination allowed them to map on a grid and calculate interactions with high accuracy and precision.

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