{"id":2588,"date":"2023-03-15T16:56:56","date_gmt":"2023-03-15T16:56:56","guid":{"rendered":"https:\/\/lab.tt\/?p=2588"},"modified":"2023-03-15T17:01:21","modified_gmt":"2023-03-15T17:01:21","slug":"exploring-supervised-machine-learning-for-multi-phase-identification-and-quantification-from-powder-x-ray-diffraction-spectra","status":"publish","type":"post","link":"https:\/\/lab.tt\/index.php\/2023\/03\/15\/exploring-supervised-machine-learning-for-multi-phase-identification-and-quantification-from-powder-x-ray-diffraction-spectra\/","title":{"rendered":"Exploring supervised machine learning for multi-phase identification and quantification from powder X-ray diffraction spectra"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<p style=\"font-size:18px\"><b style=\"color: rgb(60, 72, 88); font-family: Arial; font-size: large; text-align: justify; white-space: normal;\"><span style=\"color: rgb(51, 51, 51);\">Exploring supervised machine learning for multi-phase identification and quantification from powder X-ray diffraction spectra<\/span><\/b><\/p>\n\n\n\n<div class=\"wp-block-file\"><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10853-023-08343-4\" target=\"_blank\" rel=\"noreferrer noopener\">Click to View<\/a><a href=\"https:\/\/lab.tt\/wp-content\/uploads\/2023\/03\/jaimie-materialsscience.pdf\" class=\"wp-block-file__button\" download=\"\">Download<\/a><\/div>\n\n\n\n<p style=\"font-size:18px\">Jaimie Greasley and Patrick Hosein<\/p>\n\n\n\n<p style=\"font-size:18px\">Journal of Materials Science (Springer)<\/p>\n\n\n\n<p style=\"font-size:18px\"><em><em><em><em><em>March, 20<\/em>23<\/em><\/em><\/em><\/em><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Exploring supervised machine learning for multi-phase identification and quantification from powder X-ray diffraction spectra Click to ViewDownload Jaimie Greasley and Patrick Hosein Journal of Materials Science (Springer) March, 2023<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/posts\/2588"}],"collection":[{"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/comments?post=2588"}],"version-history":[{"count":3,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/posts\/2588\/revisions"}],"predecessor-version":[{"id":2593,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/posts\/2588\/revisions\/2593"}],"wp:attachment":[{"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/media?parent=2588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/categories?post=2588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab.tt\/index.php\/wp-json\/wp\/v2\/tags?post=2588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}