{"id":956,"date":"2022-07-26T19:06:12","date_gmt":"2022-07-26T17:06:12","guid":{"rendered":"http:\/\/www.labdma.unina.it\/?p=956"},"modified":"2023-02-26T19:06:40","modified_gmt":"2023-02-26T18:06:40","slug":"scientific-machine-learning-through-physics-informed-neural-networks-where-we-are-and-whats-next","status":"publish","type":"post","link":"https:\/\/www.labdma.unina.it\/index.php\/2022\/07\/26\/scientific-machine-learning-through-physics-informed-neural-networks-where-we-are-and-whats-next\/","title":{"rendered":"Scientific Machine Learning Through Physics\u2013Informed Neural Networks: Where we are and What\u2019s Next"},"content":{"rendered":"\n<p>We are excited to share that the Journal of Scientific Computing has published our comprehensive review paper on &#8220;Scientific Machine Learning Through Physics\u2013Informed Neural Networks: Where we are and What\u2019s Next&#8221;.&nbsp;<\/p>\n\n\n\n<p>The paper focuses on Physics-Informed Neural Networks (PINN), a novel approach where neural networks are used to solve complex mathematical equations, including Partial Differential Equations (PDEs). The review summarizes the literature on PINNs and their advantages and disadvantages.<br><\/p>\n\n\n\n<p>We hope this review paper will be beneficial to researchers in the field of scientific machine learning and inspire future work on this promising approach.<br><\/p>\n\n\n\n<p>Find out more at: <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10915-022-01939-z\">https:\/\/link.springer.com\/article\/10.1007\/s10915-022-01939-z<\/a>&nbsp;<br><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"slide-text-bg2\">\n<h3>&lt;div class=&quot;slide-text-bg2&quot;&gt;<br \/>\n&lt;h3&gt;We are excited to share that the Journal of Scientific Computing has published our comprehensive review paper on &#8220;Scientific Machine&lt;\/h3&gt;<br \/>\n&lt;\/div&gt;<br \/>\n&lt;div class=&quot;flex-btn-div&quot;&gt;&lt;a href=&quot;https:\/\/www.labdma.unina.it\/index.php\/2022\/07\/26\/scientific-machine-learning-through-physics-informed-neural-networks-where-we-are-and-whats-next\/&quot; class=&quot;btn1 flex-btn&quot;&gt;Leggi tutto&lt;\/a&gt;&lt;\/div&gt;<br \/>\n<\/h3>\n<\/div>\n<div class=\"flex-btn-div\"><a href=\"https:\/\/www.labdma.unina.it\/index.php\/2022\/07\/26\/scientific-machine-learning-through-physics-informed-neural-networks-where-we-are-and-whats-next\/\" class=\"btn1 flex-btn\">Leggi tutto<\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/posts\/956"}],"collection":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/comments?post=956"}],"version-history":[{"count":1,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/posts\/956\/revisions"}],"predecessor-version":[{"id":957,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/posts\/956\/revisions\/957"}],"wp:attachment":[{"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/media?parent=956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/categories?post=956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.labdma.unina.it\/index.php\/wp-json\/wp\/v2\/tags?post=956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}