DIII-D Researchers Use Machine Learning to Steer Fusion Plasmas Near Operational Limits

Researchers at the DIII-D National Fusion Facility recently achieved a scientific first when they used machine learning calculations to automatically prevent fusion plasma disruptions in real time, while simultaneously optimizing the plasma for peak performance. The new experiments are the first of what they expect to be a wave of research in which machine learning–augmented controls could broaden the understanding of fusion plasmas. The work may help deliver reliable, peak-performance operation of future fusion reactors.

Read more

Blowing bubbles: PPPL scientist confirms novel way to launch and drive current in fusion plasmas

PPPL physicist Fatima Ebrahimi has used high-resolution computer simulations to confirm the practicality of the CHI start-up technique. The simulations show that CHI could produce electric current continuously in larger, more powerful tokamaks than exist today to produce stable fusion plasmas.

Read more

3D-Printed Plastics With High Performance Electrical Circuits

Rutgers engineers have embedded high performance electrical circuits inside 3D-printed plastics, which could lead to smaller and versatile drones and better-performing small satellites, biomedical implants and smart structures. They used pulses of high-energy light to fuse tiny silver wires, resulting in circuits that conduct 10 times more electricity than the state of the art, according to a study in the journal Additive Manufacturing. By increasing conductivity 10-fold, the engineers can reduce energy use, extend the life of devices and increase their performance.

Read more