{"id":244785,"date":"2026-05-13T00:09:00","date_gmt":"2026-05-13T04:09:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/13\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion\/"},"modified":"2026-05-13T00:10:06","modified_gmt":"2026-05-13T04:10:06","slug":"artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/13\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion\/","title":{"rendered":"Artificial intelligence brings us closer to realizing the promise of nuclear fusion"},"content":{"rendered":"<p><a href=\"https:\/\/www.aip.org\/scilights\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion\">Artificial intelligence brings us closer to realizing the promise of nuclear fusion<\/a><\/p>\n<p><a href=\"https:\/\/www.aip.org\/scilights\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion\">https:\/\/www.aip.org\/scilights\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-13 00:09:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.aip.org\">www.aip.org<\/a><\/p>\n<p>\n                                    Machine learning is helping address a long-standing magnetic stability issue in tokomak reactors.\n                                <\/p>\n<p>Achieving the promise of nuclear fusion as a source of limitless, safe, and clean energy is a grand challenge for science and engineering. The simplest closed magnetic geometry used to confine ultra-hot plasmas is the donut-shaped, rotationally symmetric tokamak. These configurations are susceptible to instabilities \u2014 tearing modes (TMs) \u2014 that reconfigure the magnetic field lines of the tokamak, break the tokamak\u2019s symmetry, and can disrupt plasma operation. Much work is being devoted to resolving this.<\/p>\n<p>Cristina Rea and Stuart Benjamin explored the expanding role of machine learning (ML) in helping achieve this goal.<\/p>\n<p>\u201cThe mechanism by which TMs appear in tokamaks remains nonlinear, coupled, and chaotic,\u201d said author Benjamin. \u201cA balance of stabilizing and destabilizing effects at sensitive \u2018rational surfaces\u2019 where TMs form is tipped by intermittent, rapid instabilities elsewhere in the rotating plasma column. But the end state of an unmitigated tearing mode is simple \u2014 a great magnetic bubble grows within the plasma like a slug, grinding rotation to a halt, before dispersing the plasma into the wall.\u201d<\/p>\n<p>The researchers focused on various areas, including ML prediction of tearing mode onset, the use of ML to help interpret tearing onset data, and plasma controllers that leverage artificial intelligence-based tearing stability predictors.<\/p>\n<p>\u201cTMs remain fiendishly hard to predict with physics models, but their stochastic complexity appeals to ML-empowered scientists,\u201d said Benjamin. \u201cThat\u2019s why we wanted to explain how recent studies have applied AI to large experimental tokamak datasets, providing new insights into the TM physics and control mechanisms we must perfect to ensure TMs don\u2019t compromise the tokamak power plants of the&#8230;<\/p>\n<p><a href=\"https:\/\/www.aip.org\/scilights\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence brings us closer to realizing the promise of nuclear fusion https:\/\/www.aip.org\/scilights\/artificial-intelligence-brings-us-closer-to-realizing-the-promise-of-nuclear-fusion Publish Date:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":244786,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/aip.brightspotcdn.com\/dims4\/default\/ddb1ded\/2147483647\/strip\/true\/crop\/960x540+0+0\/resize\/1440x810!\/quality\/90\/?url=https%3A%2F%2Fk1-prod-aip.s3.us-east-2.amazonaws.com%2Fbrightspot%2Fa5%2Ff4%2F410e4d944eedbd1025abd478ea2d%2Ffc0c42dd37b84f35b8b6abbd803de975","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-244785","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/244785"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=244785"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/244785\/revisions"}],"predecessor-version":[{"id":244787,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/244785\/revisions\/244787"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/244786"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=244785"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=244785"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=244785"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}