{"id":134051,"date":"2025-10-29T15:24:14","date_gmt":"2025-10-29T15:24:14","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=134051"},"modified":"2025-10-29T15:24:14","modified_gmt":"2025-10-29T15:24:14","slug":"fuzyonda-yeni-donem-yapay-zeka-plazmanin-davranislarini-aninda-simule-edebiliyor","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2025\/10\/29\/fuzyonda-yeni-donem-yapay-zeka-plazmanin-davranislarini-aninda-simule-edebiliyor\/","title":{"rendered":"F\u00fczyonda yeni d\u00f6nem: Yapay zeka, plazman\u0131n davran\u0131\u015flar\u0131n\u0131 an\u0131nda sim\u00fcle edebiliyor"},"content":{"rendered":"

<\/span> Plazman\u0131n kontrol\u00fcn\u00fcn ve kararl\u0131l\u0131\u011f\u0131n\u0131n sa\u011flanmas\u0131, f\u00fczyon enerjisinin daha g\u00fcvenilir bir enerji kayna\u011f\u0131 h\u00e2le gelmesinin \u00f6n\u00fcndeki en \u00f6nemli engel olmaya devam ediyor.\u00a0F\u00fczyon reaksiyonlar\u0131, G\u00fcne\u015f\u2019in merkezinde ger\u00e7ekle\u015fen s\u00fcre\u00e7leri D\u00fcnya \u00fczerinde taklit etmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131 i\u00e7in y\u00fcz milyonlarca derece s\u0131cakl\u0131\u011fa ula\u015fan plazmay\u0131 denetim alt\u0131nda tutmak hi\u00e7 de kolay olmuyor. Bu nedenle, ara\u015ft\u0131rmac\u0131lar onlarca y\u0131ld\u0131r f\u00fczyon reakt\u00f6rlerinin davran\u0131\u015flar\u0131n\u0131 anlamak ve optimize etmek i\u00e7in karma\u015f\u0131k sim\u00fclasyonlara ba\u015fvuruyordu. Ancak bu sim\u00fclasyonlar genellikle haftalar s\u00fcren s\u00fcper bilgisayar i\u015flemleri gerektiriyordu. Ancak yapay zeka alan\u0131nda ya\u015fanan at\u0131l\u0131m, \u015fimdi bu s\u00fcreyi saniyelere indiriyor. <\/figure>\n

Nvidia<\/strong> ve General Atomics<\/strong>, d\u00fcn Washington’da d\u00fczenlenen Nvidia GTC konferans\u0131nda f\u00fczyon reakt\u00f6rleri i\u00e7in geli\u015ftirilen ilk yapay zeka destekli dijital ikizi tan\u0131tt\u0131. Bu “dijital ikiz”, plazma sim\u00fclasyon s\u00fcrelerini haftalardan saniyelere indirerek f\u00fczyon ara\u015ft\u0131rmalar\u0131nda devrim niteli\u011finde bir d\u00f6nemin kap\u0131lar\u0131n\u0131 aral\u0131yor. General Atomics f\u00fczyon veri bilimi lideri Raffi Nazikian, \u201cArt\u0131k reakt\u00f6r senaryolar\u0131n\u0131 sanal ortamda, fiziksel ekipmana zarar verme riski olmadan test edebiliyoruz. <\/strong>Bu etkile\u015fimli dijital ikiz, f\u00fczyon ara\u015ft\u0131rmalar\u0131nda oyunun kurallar\u0131n\u0131 de\u011fi\u015ftiriyor,\u201d diyor. \u015eu anda 100 farkl\u0131 kurumdan 700 bilim insan\u0131, bu platform \u00fczerinden ortak testler ve sim\u00fclasyonlar ger\u00e7ekle\u015ftirebiliyor.<\/p>\n

F\u00fczyon Reakt\u00f6r\u00fcn\u00fcn Nas\u0131l Davranaca\u011f\u0131 Dijital \u0130kiz \u00dczerinden Sim\u00fcle Edilebiliyor<\/b><\/p>\n

Bu dijital ikiz, Nvdia GPU\u2019lar\u0131 \u00fczerinde \u00e7al\u0131\u015fan \u00fc\u00e7 farkl\u0131 yapay zeka vekil modelinden g\u00fc\u00e7 al\u0131yor<\/strong>. Bu modellerden EFIT<\/strong>, plazma dengesini hesapl\u0131yor; CAKE<\/strong>, plazma s\u0131n\u0131rlar\u0131n\u0131 tahmin ediyor; ION ORB<\/strong> ise ka\u00e7an iyonlar\u0131n \u0131s\u0131 yo\u011funlu\u011funu \u00f6ng\u00f6r\u00fcyor. Argonne Leadership Computing Facility\u2019deki Polaris ve NERSC\u2019teki Perlmutter gibi s\u00fcper bilgisayarlarda e\u011fitilen bu modeller, karma\u015f\u0131k plazma davran\u0131\u015flar\u0131n\u0131 fizik tabanl\u0131 hesaplamalara k\u0131yasla binlerce kat daha h\u0131zl\u0131 sim\u00fcle edebiliyor.<\/p>\n

Sistem, Nvidia Omniverse<\/strong> platformu \u00fczerinde in\u015fa edilmi\u015f durumda<\/strong>. Omniverse; sens\u00f6r verilerini, fizik temelli sim\u00fclasyonlar\u0131, m\u00fchendislik modellerini ve yapay zeka tahminlerini tek bir dinamik ortamda birle\u015ftiriyor. Bu sayede ara\u015ft\u0131rmac\u0131lar, \u201cya \u015f\u00f6yle olursa\u201d tarz\u0131 senaryolar\u0131 an\u0131nda test edebiliyor, reakt\u00f6r tasar\u0131mlar\u0131n\u0131 optimize edebiliyor ve olas\u0131 hatalar\u0131 deney \u00f6ncesinde tespit edebiliyor.<\/p>\n

Yapay zek\u00e2 destekli bu yakla\u015f\u0131m, f\u00fczyon enerjisinin en temel sorununa do\u011frudan yan\u0131t veriyor: plazma kararl\u0131l\u0131\u011f\u0131n\u0131 ger\u00e7ek zamanl\u0131 bi\u00e7imde kontrol edebilmek. Daha \u00f6nce haftalar s\u00fcren fizik temelli sim\u00fclasyonlarla elde edilebilen sonu\u00e7lar, art\u0131k saniyeler i\u00e7inde hesaplanabiliyor.<\/p>\n

\u00d6zellikle yapay zek\u00e2 veri merkezlerinin h\u0131zla artan enerji talebi g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, s\u0131n\u0131rs\u0131z ve temiz f\u00fczyon enerjisine her zamankinden daha fazla ihtiya\u00e7 duyuldu\u011fu a\u00e7\u0131k. Bu y\u00fczden,\u00a0Nvidia ve General Atomics\u2019in ortak \u00e7al\u0131\u015fmas\u0131 yaln\u0131zca f\u00fczyon enerjisi ara\u015ft\u0131rmalar\u0131nda de\u011fil<\/strong>, genel anlamda enerji bilimi ve y\u00fcksek performansl\u0131 hesaplama alan\u0131nda da bir paradigma de\u011fi\u015fiminin habercisi olabilir.<\/p>\n\n

Kaynak\u00a0 :\u00a0https:\/\/www.donanimhaber.com\/nvidia-omniverse-fuzyon-reaktorlerini-dijitalde-simule-ediyor–197894<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Plazman\u0131n kontrol\u00fcn\u00fcn ve kararl\u0131l\u0131\u011f\u0131n\u0131n sa\u011flanmas\u0131, f\u00fczyon enerjisinin daha g\u00fcvenilir bir enerji kayna\u011f\u0131 h\u00e2le gelmesinin \u00f6n\u00fcndeki en \u00f6nemli engel olmaya devam ediyor.\u00a0F\u00fczyon reaksiyonlar\u0131, G\u00fcne\u015f\u2019in merkezinde ger\u00e7ekle\u015fen s\u00fcre\u00e7leri D\u00fcnya \u00fczerinde …<\/p>\n","protected":false},"author":1,"featured_media":134052,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[7109,79,1389,3003,1845],"class_list":["post-134051","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-edebiliyor","tag-enerji","tag-fuzyon","tag-plazma","tag-yapay"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/134051","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=134051"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/134051\/revisions"}],"predecessor-version":[{"id":134054,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/134051\/revisions\/134054"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/134052"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=134051"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=134051"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=134051"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}