首页|Researchers from Texas A&M University Detail New Studies and Findin gs in the Area of Machine Learning (Precision Polishing of Ablator Capsules Via In Situ Process Monitoring and Machine Learning-based Optimization)
Researchers from Texas A&M University Detail New Studies and Findin gs in the Area of Machine Learning (Precision Polishing of Ablator Capsules Via In Situ Process Monitoring and Machine Learning-based Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting from College Station, Texas, by NewsRx journalists, research stated, "In inertial confinement fusion (ICF) e xperiments seeking output gains of unity and beyond, the quality of the ablator capsule is paramount for minimizing the hydrodynamic mix that quenches the centr al hot spot. Defects in the form of foreign particles or missing mass on the sur face and within the wall of the capsule are primary offenders." Funders for this research include United States Department of Energy (DOE), LLNL laboratory-directed research and development program.
College StationTexasUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTexa s A&M University
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