AI-Driven Optimization for Direct-Drive ICF Implosions
Integrating Machine Learning Techniques for Enhanced Performance Inertial confinement fusion (ICF) holds promise as a powerful energy source capable of producing bursts of energy measured in hundreds of megajoules. It…
Rochester-Area Collaboration Drives Global Scientific Progress: LLE and RIT Look to Unlock the Secrets of Extreme Matter Using AI/ML
The 2024 Nobel Prize in Physics recognized the inventors of neural networks, highlighting the revolutionary impact of artificial intelligence (AI) and machine learning (ML) across scientific disciplines. AI is proving…
Maintaining Environmental Precision for Advanced Laser Research
The Laboratory for Laser Energetics is home to some of the world’s most sophisticated laser systems, and the LLE Facilities Group plays a critical role in ensuring optimal conditions for…
Gerrit Bruhaug’s Paper Highlighted as Editor’s Pick in Optics Letters
Congratulations are in order to Gerrit Bruhaug, whose newly published paper “Joule-class THz pulses from microchannel targets” has been highlighted as an Editor’s Pick in Optics Letters. This prestigious selection…
