{"id":2012,"date":"2022-09-12T21:42:10","date_gmt":"2022-09-12T21:42:10","guid":{"rendered":"https:\/\/simed.uniud.it\/?p=2012"},"modified":"2022-09-12T21:42:11","modified_gmt":"2022-09-12T21:42:11","slug":"improving-fatigue-failure-predictions-and-unveiling-hidden-influencing-factors-by-physics-informed-machine-learning","status":"publish","type":"post","link":"https:\/\/simed.uniud.it\/?p=2012","title":{"rendered":"Improving fatigue failure predictions and unveiling hidden influencing factors by Physics-Informed Machine Learning"},"content":{"rendered":"\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:51% auto\"><figure class=\"wp-block-media-text__media\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"401\" src=\"http:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1024x401.jpg\" alt=\"\" class=\"wp-image-2008 size-full\" srcset=\"https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1024x401.jpg 1024w, https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-300x117.jpg 300w, https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-768x301.jpg 768w, https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1536x601.jpg 1536w, https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-2048x801.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>In our latest publication, we show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning. We believe this is the way to go for the identification and quantification of \u201chidden\u201d fatigue influencing factors while ensuring the soundness of the prediction. It&#8217;s only the beginning!<\/p>\n\n\n\n<p>The paper published in Journal of Materials &amp; Design (JMAD &#8211; IF 9.4) is open access.<\/p>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:21% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" width=\"572\" height=\"768\" src=\"https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/X02641275.jpeg\" alt=\"\" class=\"wp-image-2013 size-full\" srcset=\"https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/X02641275.jpeg 572w, https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/X02641275-223x300.jpeg 223w\" sizes=\"(max-width: 572px) 100vw, 572px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-small-font-size\">E. Salvati, A. Tognan, L. Laurenti, M. Pelegatti, F. De Bona. <em>A Defect-Based Physics-Informed Machine Learning Framework for Fatigue Finite Life Prediction in Additive Manufacturing<\/em>. (2022) Materials &amp; Design. <\/p>\n\n\n\n<p class=\"has-small-font-size\"><a href=\"https:\/\/doi.org\/10.1016\/j.matdes.2022.111089\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1016\/j.matdes.2022.111089\">https:\/\/doi.org\/10.1016\/j.matdes.2022.111089<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":2008,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"post_formats":[],"guten_post_layout_featured_media_urls":{"full":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg.jpg",2213,866,false],"thumbnail":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-150x150.jpg",150,150,true],"medium":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-300x117.jpg",300,117,true],"medium_large":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-768x301.jpg",768,301,true],"large":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1024x401.jpg",1024,401,true],"1536x1536":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1536x601.jpg",1536,601,true],"2048x2048":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-2048x801.jpg",2048,801,true],"guten_post_layout_landscape_large":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1200x800.jpg",1200,800,true],"guten_post_layout_portrait_large":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1200x866.jpg",1200,866,true],"guten_post_layout_square_large":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1200x866.jpg",1200,866,true],"guten_post_layout_landscape":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-600x400.jpg",600,400,true],"guten_post_layout_portrait":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-600x866.jpg",600,866,true],"guten_post_layout_square":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-600x600.jpg",600,600,true],"tc-grid-full":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1110x444.jpg",1110,444,true],"tc-grid":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-570x350.jpg",570,350,true],"tc-thumb":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-270x250.jpg",270,250,true],"slider-full":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-2213x500.jpg",2213,500,true],"slider":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1110x500.jpg",1110,500,true],"tc-sq-thumb":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-510x510.jpg",510,510,true],"tc-ws-thumb":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-1110x624.jpg",1110,624,true],"tc-ws-small-thumb":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-528x297.jpg",528,297,true],"tc-slider-small":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-517x235.jpg",517,235,true],"awsm_team":["https:\/\/simed.uniud.it\/wp-content\/uploads\/2022\/09\/1-s2.0-S0264127522007110-ga1_lrg-500x500.jpg",500,500,true]},"_links":{"self":[{"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/posts\/2012"}],"collection":[{"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2012"}],"version-history":[{"count":1,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/posts\/2012\/revisions"}],"predecessor-version":[{"id":2014,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/posts\/2012\/revisions\/2014"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=\/wp\/v2\/media\/2008"}],"wp:attachment":[{"href":"https:\/\/simed.uniud.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2012"},{"taxonomy":"post_format","embeddable":true,"href":"https:\/\/simed.uniud.it\/index.php?rest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