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Artificial intelligence improves control of powerful plasma accelerators


Artificial intelligence improves control of powerful plasma accelerators
Researchers have used AI to control beams for the next generation of smaller, cheaper accelerators for research, medical and industrial applications.
Experiments led by Imperial College London researchers, using the Science and Technology Facilities Council s Central Laser Facility (CLF), showed that an algorithm was able to tune the complex parameters involved in controlling the next generation of plasma-based particle accelerators.
The algorithm was able to optimize the accelerator much more quickly than a human operator, and could even outperform experiments on similar laser systems.
These accelerators focus the energy of the world s most powerful lasers down to a spot the size of a skin cell, producing electrons and x-rays with equipment a fraction of the size of conventional accelerators. ....

United Kingdom , United States , City Of , Rob Shalloo , Deutsches Elektronen , Queen University Belfast , Nature Communications , University Of Oxford , Sciences Research Council , University Of Michigan , Technology Facilities Council Central Laser Facility , Technology Facilities Council , York Plasma Institute , Imperial College London , Photonics Applications Centre , Us National Science Foundation , Central Laser Facility , University Belfast , Deutsches Elektronen Synchrotron , Science Foundation , Physical Sciences Research , ஒன்றுபட்டது கிஂக்டம் , ஒன்றுபட்டது மாநிலங்களில் , நகரம் ஆஃப் , ராணி பல்கலைக்கழகம் பெல்ஃபாஸ்ட் , இயற்கை தகவல்தொடர்புகள் ,

Artificial intelligence improves control of powerful plasma accelerators | Imperial News


The plasma source for the accelerator
Researchers have used AI to control beams for the next generation of smaller, cheaper accelerators for research, medical and industrial applications.
Experiments led by Imperial College London researchers, using the Science and Technology Facilities Council’s Central Laser Facility (CLF), showed that an algorithm was able to tune the complex parameters involved in controlling the next generation of plasma-based particle accelerators.
The techniques we have developed will be instrumental in getting the most out of a new generation of advanced plasma accelerator facilities under construction within the UK and worldwide. Dr Rob Shalloo
The algorithm was able to optimize the accelerator much more quickly than a human operator, and could even outperform experiments on similar laser systems. ....

United Kingdom , United States , City Of , Rob Shalloo , Deutsches Elektronen , Queen University Belfast , Nature Communications , University Of Oxford , Sciences Research Council , University Of Michigan , Technology Facilities Council Central Laser Facility , Technology Facilities Council , York Plasma Institute , Imperial College London , Photonics Applications Centre , Us National Science Foundation , Central Laser Facility , University Belfast , Deutsches Elektronen Synchrotron , Science Foundation , Physical Sciences Research , ஒன்றுபட்டது கிஂக்டம் , ஒன்றுபட்டது மாநிலங்களில் , நகரம் ஆஃப் , ராணி பல்கலைக்கழகம் பெல்ஃபாஸ்ட் , இயற்கை தகவல்தொடர்புகள் ,