{"id":345666,"date":"2025-08-15T04:49:09","date_gmt":"2025-08-15T04:49:09","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/345666\/"},"modified":"2025-08-15T04:49:09","modified_gmt":"2025-08-15T04:49:09","slug":"scientists-taught-ai-to-predict-nuclear-fusion-success-and-its-actually-working","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/345666\/","title":{"rendered":"Scientists Taught AI to Predict Nuclear Fusion Success\u2014and It&#8217;s Actually Working"},"content":{"rendered":"<p>AI is giving a huge efficiency boost to one of the biggest nuclear fusion facilities in the world\u2014but perhaps not in the way you think.\u00a0<\/p>\n<p>In research published today in <a href=\"http:\/\/www.science.org\/doi\/10.1126\/science.adm8201?adobe_mc=MCMID%3D09530979244938738170100198411956793176%7CMCORGID%3D242B6472541199F70A4C98A6%2540AdobeOrg%7CTS%3D1755100619\" target=\"_blank\" rel=\"noopener\">Science<\/a>, scientists at Lawrence Livermore National Laboratory report how its newly developed deep learning model accurately predicted the results of a <a href=\"https:\/\/gizmodo.com\/record-breaking-fusion-lab-more-than-doubles-its-2022-energy-breakthrough-2000604093\" target=\"_blank\" rel=\"noopener\">2022 fusion experiment<\/a> at the National Ignition Facility (NIF). The model, which assigned 74% probability for ignition in that experiment, outperforms traditional supercomputing methods by covering more parameters with greater precision.<\/p>\n<p>\u201cWhat we\u2019re excited about with this model is the ability to explicitly make choices for future experiments that maximize our probability of success each time,\u201d study co-author <a href=\"https:\/\/lasers.llnl.gov\/about\/who-works-at-nif\/people-profiles\/kelli-humbird\" target=\"_blank\" rel=\"noopener\">Kelli Humbird<\/a> told Gizmodo during a video call. Even a facility as large and well-established as the NIF can only \u201cdo a couple dozen of these ignition attempts per year\u2014so really not very many at all, given how much territory we have to cover,\u201d added Humbird, who leads the Cognitive Simulation Group at NIF\u2019s <a href=\"https:\/\/ife.llnl.gov\/\" target=\"_blank\" rel=\"noopener\">Inertial Confinement Fusion Program<\/a>.\u00a0<\/p>\n<p>Currently, nuclear power plants run on nuclear fission, which captures the energy generated by the splitting of heavy atoms, like uranium. Researchers eventually want to shift toward nuclear fusion, a process that combines lightweight hydrogen atoms to release massive amounts of energy. Fusion produces more energy and doesn\u2019t create harmful, radioactive byproducts, so having fusion as a reliable source of energy would greatly benefit our society\u2019s transition to sustainable energy. Although the field has made some <a href=\"https:\/\/gizmodo.com\/nuclear-fusion-clean-energy-jet-record-energy-1851239881\" target=\"_blank\" rel=\"noopener\">promising advances<\/a>,\u00a0the consensus is that we\u2019re still far from implementing nuclear fusion on a commercial scale.<\/p>\n<p> <img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2000643091 size-medium\" src=\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2025\/08\/nif-hohlraum-size-comparison-336x336.jpg\" alt=\"Nif Hohlraum Size Comparison\" width=\"336\" height=\"336\"  \/>A NIF hohlraum. The hohlraum cylinder, which contains the NIF fusion fuel capsule, is just a few millimeters wide, about the size of a pencil eraser, with beam entrance holes at either end. The fuel capsule is the size of a small pea. Credit: LLNL\/NIF <\/p>\n<p>NIF\u2019s fusion experiments are laser-driven. First, the lasers heat up a gold cylinder called the hohlraum, which then emits a flow of powerful X-rays. The extreme temperatures compress the fuel pellets containing deuterium and tritium, two hydrogen isotopes used in fusion experiments. In an ideal scenario, this triggers enough deuterium-tritium fusion reactions to produce more energy than the lasers consume.\u00a0<\/p>\n<p>Computer simulations can\u2019t reliably predict all the physics in this process, Humbird said. That\u2019s in part because the codes are often simplified so they\u2019re \u201ccomputationally tractable,\u201d but the simulations themselves can also introduce some errors. Even if you\u2019ve taken all sorts of precautions, it still takes days for the computers to finish running through the code, she added.\u00a0<\/p>\n<p>Achieving nuclear fusion is like scaling a tall, uncharted mountain, Humbird said. The computer simulations are like an \u201cimperfect\u201d map that\u2019s supposed to teach researchers how to reach the peak\u2014but this map could be rife with errors that may or may not be the product of their research design. Meanwhile, the clock is ticking, and researchers have to quickly decide whether they\u2019ll take the hike that day and which tools they\u2019re going to use. And of course, each \u201chike,\u201d or ignition attempt, burns a huge hole in the budget.<\/p>\n<p>And so, Humbird\u2019s team embarked on a mapmaking quest, stitching together \u201cpreviously collected NIF data, high-\u00adfidelity physics simulations, and subject matter expert knowledge\u201d to build a comprehensive dataset. Then, they uploaded the data to state-of-the-art supercomputers, which ran a statistical analysis lasting over 30 million <a href=\"https:\/\/en.wikipedia.org\/wiki\/CPU_time#:~:text=CPU%20time%20(or%20process%20time,capacity%2C%20giving%20the%20CPU%20usage.\" target=\"_blank\" rel=\"noopener\">CPU hours<\/a>.\u00a0<\/p>\n<p>\u201cWhat we basically came up with was a distribution of things that go wrong [at] NIF,\u201d Humbird explained. \u201cAll of the different ways that we have observed implosions. Sometimes the laser doesn\u2019t fire exactly how you asked it to. Sometimes your target has defects in it that can cause things to not go super well.\u201d<\/p>\n<p>The model allows researchers to preemptively determine the efficacy of their experimental design, saving them considerable time and money. Humbird used the model to assess their own design from a <a href=\"https:\/\/www.energy.gov\/articles\/doe-national-laboratory-makes-history-achieving-fusion-ignition\" target=\"_blank\" rel=\"noopener\">2022 experiment<\/a>, which accurately described the results of the specific run in advance. In particular, Humbird was pleased to see that subsequent tweaks to the model\u2019s physics increased the accuracy of its predictions from 50 to 70%.<\/p>\n<p>For Humbird, the strength of the new model is that it accepts and replicates the imperfections of the real world\u2014whether that\u2019s a flaw in the instrument, research design, or just some silly trick of nature. At the same time, it\u2019s a reminder that, while quick progress is exciting, things often take a lot of time and will even result in outright failure.\u00a0<\/p>\n<p>\u201cPeople have been working on fusion for decades\u2026 We shouldn\u2019t be so bummed about the times things don\u2019t work,\u201d Humbird said. \u201cThe fact that we sometimes get 1 megajoule of yield instead of two shouldn\u2019t upset us, because not too long ago we were only getting 10 kilojoules. It\u2019s a huge step forward for research, and hopefully a huge step forward for clean energy in the future.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"AI is giving a huge efficiency boost to one of the biggest nuclear fusion facilities in the world\u2014but&hellip;\n","protected":false},"author":2,"featured_media":345667,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3163],"tags":[323,76072,1942,33061,51277,53,16,15],"class_list":{"0":"post-345666","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intellience","10":"tag-artificial-intelligence","11":"tag-nuclear-fusion","12":"tag-nuclear-physics","13":"tag-technology","14":"tag-uk","15":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/115030980651524017","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/345666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=345666"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/345666\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/345667"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=345666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=345666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=345666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}