Uploaded May 2023 | Updated September 2026, 1 week ago
On December 5, 2022, researchers at LLNL’s National Ignition Facility (NIF) conducted the first experiment to ever achieve net energy gain from nuclear fusion. Nuclear fusion drives our sun and all the stars in the night sky, and harnessing it would mean a future of limitless carbon-free, safe, clean energy. After several decades of research, fusion breakeven at NIF brings humanity one step closer to that dream. However, the experiment’s result was not actually that surprising. A team leveraging data science techniques developed and used a landmark system for teaching artificial intelligence (AI) to incorporate and better account for different variables and experimental scenarios, creating specific parameters for simulations leading up to the successful December experiment. In this video, LLNL researcher Jayaraman Thiagarajan explains how machine learning and AI models help advance scientific discovery; Kelli Humbird describes how the process of Cognitive Simulation predicted the successful fusion ignition shot; and Luc Peterson discusses the future of this predictive technology.
LLNL’s Data Science Institute (DSI) was established in 2018 to enable excellence in data science research and applications across the Lab’s core missions. Learn more about the Data Science Institute at data-science.llnl.gov/.
💻 LLNL News: llnl.gov/news
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About LLNL: Lawrence Livermore National Laboratory has a mission of strengthening the United States’ security through development and application of world-class science and technology to: 1) enhance the nation’s defense, 2) reduce the global threat from terrorism and weapons of mass destruction, and 3) respond with vision, quality, integrity and technical excellence to scientific issues of national importance. Learn more about LLNL: llnl.gov/.
LLNL-VIDEO-849599
#LLNL #DataScienceInstitute #Fusion #DataScience
On December 5, 2022, researchers at LLNL’s National Ignition Facility (NIF) conducted the first experiment to ever achieve net energy gain from nuclear fusion. Nuclear fusion drives our sun and all the stars in the night sky, and harnessing it would mean a future of limitless carbon-free, safe, clean energy. After several decades of research, fusion breakeven at NIF brings humanity one step closer to that dream. However, the experiment’s result was not actually that surprising. A team leveraging data science techniques developed and used a landmark system for teaching artificial intelligence (AI) to incorporate and better account for different variables and experimental scenarios, creating specific parameters for simulations leading up to the successful December experiment. In this video, LLNL researcher Jayaraman Thiagarajan explains how machine learning and AI models help advance scientific discovery; Kelli Humbird describes how the process of Cognitive Simulation predicted the successful fusion ignition shot; and Luc Peterson discusses the future of this predictive technology.
LLNL’s Data Science Institute (DSI) was established in 2018 to enable excellence in data science research and applications across the Lab’s core missions. Learn more about the Data Science Institute at data-science.llnl.gov/.
💻 LLNL News: llnl.gov/news
📲 Instagram: instagram.com/livermore_lab
🤳 Facebook: facebook.com/livermore.lab
🐤 Twitter: twitter.com/Livermore_Lab
🔔 Subscribe: youtube.com/c/LivermoreLab
About LLNL: Lawrence Livermore National Laboratory has a mission of strengthening the United States’ security through development and application of world-class science and technology to: 1) enhance the nation’s defense, 2) reduce the global threat from terrorism and weapons of mass destruction, and 3) respond with vision, quality, integrity and technical excellence to scientific issues of national importance. Learn more about LLNL: llnl.gov/.
LLNL-VIDEO-849599
#LLNL #DataScienceInstitute #Fusion #DataScience
