{"id":716,"date":"2025-10-20T10:00:00","date_gmt":"2025-10-20T08:00:00","guid":{"rendered":"https:\/\/h-nu.net\/?p=716"},"modified":"2026-08-21T16:57:11","modified_gmt":"2026-08-21T14:57:11","slug":"h-nu-at-icaleo-2025","status":"publish","type":"post","link":"https:\/\/h-nu.net\/index.php\/2025\/10\/20\/h-nu-at-icaleo-2025\/","title":{"rendered":"h-nu at ICALEO 2025"},"content":{"rendered":"\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-300x300.webp\" alt=\"ICALEO 2025 Laser Materials Microprocessing track chairs, Eric Mottay and Jared Speltz\" class=\"wp-image-714\" style=\"width:300px\" srcset=\"https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-300x300.webp 300w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-150x150.webp 150w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-768x768.webp 768w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-230x230.webp 230w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-350x350.webp 350w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1-480x480.webp 480w, https:\/\/h-nu.net\/wp-content\/uploads\/2026\/08\/ICALEO2025_1.webp 800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Eric Mottay from h-nu chaired the Laser Materials Microprocessing track at ICALEO 2025 in Orlando, 13 to 16 October, with Jared Speltz of the University of Dayton.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">He also gave two presentations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Machine Learning for Predictive Control of Silicon Thinning in Integrated Circuits&#8221;, in collaboration with ALPhANOV, used a gradient boosting regressor to predict ablation depth and surface roughness, and a generative adversarial network to predict the surface texture itself.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Data-Efficient Hybrid Physics &#8211; Machine Learning Model for Ultrafast Laser Ablation&#8221; combined the two-temperature model with a neural network. Trained on silicon and transferred to stainless steel using ten datapoints selected by Bayesian optimization, it improved R\u00b2 from -0.40 to 0.67.<\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>Eric Mottay from h-nu chaired the Laser Materials Microprocessing track at ICALEO 2025 in Orlando, and gave two presentations on machine learning for silicon thinning and on a hybrid physics and machine learning model for ultrafast laser ablation.<\/p>\n","protected":false},"author":1,"featured_media":714,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/posts\/716","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/comments?post=716"}],"version-history":[{"count":2,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/posts\/716\/revisions"}],"predecessor-version":[{"id":718,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/posts\/716\/revisions\/718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/media\/714"}],"wp:attachment":[{"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/media?parent=716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/categories?post=716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/h-nu.net\/index.php\/wp-json\/wp\/v2\/tags?post=716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}