{"id":273167,"date":"2026-06-14T22:13:00","date_gmt":"2026-06-15T02:13:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/14\/interpretable-ai-in-materials-discovery-uncovering-how-models-make-predictions\/"},"modified":"2026-06-15T01:25:28","modified_gmt":"2026-06-15T05:25:28","slug":"interpretable-ai-in-materials-discovery-uncovering-how-models-make-predictions","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/14\/interpretable-ai-in-materials-discovery-uncovering-how-models-make-predictions\/","title":{"rendered":"Interpretable AI in materials discovery: Uncovering how models make predictions"},"content":{"rendered":"<p><a href=\"https:\/\/www.eurekalert.org\/news-releases\/1131777\">Interpretable AI in materials discovery: Uncovering how models make predictions<\/a><\/p>\n<p><a href=\"https:\/\/www.eurekalert.org\/news-releases\/1131777\">https:\/\/www.eurekalert.org\/news-releases\/1131777<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-06-14 22:13:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.eurekalert.org\">www.eurekalert.org<\/a><\/p>\n<p><strong>image:\u00a0<\/p>\n<p>The proposed method combines a graph neural network with hierarchical clustering to extract key features linking crystal structure to optical spectra, and then groups materials with similar structural and spectral characteristics, revealing patterns that can guide materials design.<\/p>\n<p><\/strong><br \/>\n                  view <span class=\"no-break-text\">more\u00a0<\/span><\/p>\n<p class=\"credit\">Credit: Institute of Science Tokyo<\/p>\n<p style=\"text-align:justify\"><strong>A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can be extended to reveal how atomic arrangements influence other material properties, paving the way for more efficient materials design.<\/strong><\/p>\n<p style=\"text-align:justify\">\u00a0<\/p>\n<p style=\"text-align:justify\">In recent years, artificial intelligence (AI) has emerged as a powerful tool to predict how materials will behave based on their atomic structure, helping researchers discover new materials faster and reduce reliance on trial-and-error methods. However, many of these models work like \u201cblack boxes.\u201d They can make accurate predictions, but they do not explain how those predictions are made. This makes it difficult to understand the relationships between a material\u2019s structure and its properties, limiting how useful these models are for guiding the development of new designs.<\/p>\n<p style=\"text-align:justify\">Now, in a study to be published in the journal Advanced Intelligent Discovery on June 15, 2026, researchers&#8230;<\/p>\n<p><a href=\"https:\/\/www.eurekalert.org\/news-releases\/1131777\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interpretable AI in materials discovery: Uncovering how models make predictions https:\/\/www.eurekalert.org\/news-releases\/1131777 Publish Date: 2026-06-14 22:13:00&#8230;<\/p>\n","protected":false},"author":1,"featured_media":273168,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/mediasvc.eurekalert.org\/Api\/v1\/Multimedia\/cd37f48b-75aa-4b95-8b79-4a3bb95e41e5\/Rendition\/thumbnail\/Content\/Public","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-273167","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\/273167"}],"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=273167"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/273167\/revisions"}],"predecessor-version":[{"id":273169,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/273167\/revisions\/273169"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/273168"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=273167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=273167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=273167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}