{"id":665,"date":"2021-09-12T10:05:29","date_gmt":"2021-09-12T10:05:29","guid":{"rendered":"https:\/\/themelocker.tech\/buscom\/?page_id=665"},"modified":"2026-03-12T13:29:45","modified_gmt":"2026-03-12T17:29:45","slug":"home-version-two","status":"publish","type":"page","link":"https:\/\/hemi.jhu.edu\/caimee\/","title":{"rendered":"Home Version Two"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column]\n\t\t\t\t<p class=\"rs-p-wp-fix\"><\/p>\n\t\t\t\t<sr7-module data-alias=\"portfolio-showreel-1\" data-id=\"13\" id=\"SR7_13_1\" class=\"rs-respect-topbar rs-ov-hidden\" data-version=\"6.7.57\">\n\t\t\t\t\t<sr7-adjuster><\/sr7-adjuster>\n\t\t\t\t\t<sr7-content>\n\t\t\t\t\t\t<sr7-slide id=\"SR7_13_1-25\" data-key=\"25\">\n\t\t\t\t\t\t<\/sr7-slide>\n\t\t\t\t\t\t<sr7-slide id=\"SR7_13_1-26\" data-key=\"26\">\n\t\t\t\t\t\t<\/sr7-slide>\n\t\t\t\t\t<\/sr7-content>\n\t\t\t\t<\/sr7-module>\n\t\t\t\t<script>\n\t\t\t\t\twindow.SR7 ??={};SR7.PMH ??={}; SR7.PMH[\"SR7_13_1\"] = {cn:100,state:false,fn: function() { if (window._tpt!==undefined && window._tpt.prepareModuleHeight !== undefined) {  _tpt.prepareModuleHeight({id:\"SR7_13_1\",el:[900,900,768,960,720],type:'hero',shdw:'0',gh:[900,900,743,565,349],gw:[1240,1240,1024,778,480],vpt:['-200px'],size:{fullWidth:true, fullHeight:true},off:{\"t\":[\"0px\",\"0px\",\"0px\",\"0px\",\"0px\"],\"b\":[\"0px\",\"0px\",\"0px\",\"0px\",\"0px\"],\"l\":[\"0px\",\"0px\",\"0px\",\"0px\",\"0px\"],\"r\":[\"0px\",\"0px\",\"0px\",\"0px\",\"0px\"]},fho:'#masthead,20%',mh:'0',onh:0,onw:0,bg:{color:'{\"type\":\"solid\",\"orig\":\"#191919\",\"string\":\"rgba(25, 25, 25, 1)\"}'}});   SR7.PMH[\"SR7_13_1\"].state=true;} else if(SR7.PMH[\"SR7_13_1\"].cn-->0)\tsetTimeout( SR7.PMH[\"SR7_13_1\"].fn,19);}};SR7.PMH[\"SR7_13_1\" ].fn();\n\t\t\t\t<\/script>\n[\/vc_column][\/vc_row][vc_row gap=&#8221;30&#8243; content_placement=&#8221;top&#8221; css=&#8221;.vc_custom_1773332021614{margin-top: 2rem !important;margin-bottom: 2rem !important;}&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>About CAIMEE<\/h2>\n<p>The Center on Artificial Intelligence for Materials in Extreme Environments (CAIMEE) provides a focus for research activities that overcome these barriers through machine learning (ML)-accelerated computational models, artificial intelligence (AI)-\/data-driven design, integrative robotic automation, and novel high-throughput experimentation that will enable developing materials with tailored properties for sustainable performance in extreme environments.[\/vc_column_text][vc_gallery type=&#8221;image_grid&#8221; images=&#8221;1888,1869&#8243; img_size=&#8221;medium&#8221; onclick=&#8221;&#8221; css=&#8221;&#8221;][\/vc_column][vc_column width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1773332048967{padding-top: 2rem !important;padding-right: 2rem !important;padding-bottom: 1rem !important;padding-left: 2rem !important;background-color: #636432 !important;}&#8221;][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=auQ9mLObBFQ&#8221; css=&#8221;.vc_custom_1773331711647{padding-right: 2rem !important;padding-left: 2rem !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1773336584362{padding-right: 2rem !important;padding-left: 2rem !important;}&#8221;]<span style=\"color: #ffffff;\">CAIMEE operates the <span style=\"text-decoration: underline;\"><a style=\"color: #ffffff; text-decoration: underline;\" href=\"https:\/\/hemi.jhu.edu\/caimee\/center-facilities\/aimd-l\/\">Artificial Intelligence for Materials Design Laboratory (AIMD-L)<\/a><\/span>, a next-generation facility designed to revolutionize materials discovery and design.<\/span>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1773331292106{padding-top: 30px !important;padding-bottom: 70px !important;background-color: #0a2c74 !important;}&#8221;][vc_column][vc_custom_heading text=&#8221;RESEARCH&#8221; font_container=&#8221;tag:h3|text_align:center|color:%23ffffff&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;.vc_custom_1672181820103{margin-bottom: 25px !important;}&#8221; el_class=&#8221;container&#8221;][vc_row_inner][vc_column_inner width=&#8221;1\/5&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/5&#8243;][vc_btn title=&#8221;AI-Driven Integrated and Automated Materials Design for Extreme Environments (AMDEE)&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; size=&#8221;lg&#8221; align=&#8221;center&#8221; css=&#8221;.vc_custom_1755871476312{padding-right: 1rem !important;padding-left: 1rem !important;}&#8221; button_block=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fhemi.jhu.edu%2Fcaimee%2Fcenter-research%2Famdee%2F|title:AI-Driven%20Integrated%20and%20Automated%20Materials%20Design%20for%20Extreme%20Environments%20(AMDEE)&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/5&#8243;][vc_btn title=&#8221;Center on High-throughput Materials Discovery for Extremes (HT-MAX)&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; size=&#8221;lg&#8221; align=&#8221;center&#8221; css=&#8221;.vc_custom_1746633717259{padding-right: 1rem !important;padding-left: 1rem !important;}&#8221; button_block=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fhemi.jhu.edu%2Fht-max%2F&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/5&#8243;][vc_btn title=&#8221;Artificial Intelligence for Materials Design Laboratory (AIMD-L)&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; size=&#8221;lg&#8221; align=&#8221;center&#8221; css=&#8221;.vc_custom_1755871489032{padding-right: 1rem !important;padding-left: 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href=\"https:\/\/hemi.jhu.edu\/caimee\/recognizing-the-need-is-the-primary-condition-design\/\" title=\"Recognizing the need is the primary condition design\"><img decoding=\"async\" class=\"wppm-img\" src=\"https:\/\/hemi.jhu.edu\/caimee\/wp-content\/uploads\/bfi_thumb\/news-stock-image6-77xy376hxv1ickw48y8ujcrwxm5928sqilxn88mozm8.jpg\" alt=\"Recognizing the need is the primary condition design\" title=\"Recognizing the need is the primary condition design\"\/><\/a><\/div><div class=\"post-content\"><aside class=\"meta-row cat-row\"><div class=\"meta-col\"><ul class=\"post-cats\"><li><a class=\"cat-materials-design\" href=\"https:\/\/hemi.jhu.edu\/caimee\/category\/materials-design\/\">Materials Design<\/a><\/li><\/ul><\/div><\/aside><h2 class=\"entry-title fw-400\"><a href=\"https:\/\/hemi.jhu.edu\/caimee\/recognizing-the-need-is-the-primary-condition-design\/\" title=\"Recognizing the need is the primary condition design\">Recognizing the need is the primary condition design<\/a><\/h2><aside class=\"meta-row row-3\"><div class=\"meta-col\"><ul class=\"entry-meta\"><li class=\"post-time\"><time class=\"entry-date updated\" datetime=\"2021-09-11T04:31:27-04:00\">September 11, 2021<\/time><\/li><li class=\"post-author schema-only\"><span class=\"screen-reader-text\">Author<\/span><a href=\"https:\/\/hemi.jhu.edu\/caimee\/author\/ebieluc1\/\"><span class=\"vcard author Bess Bieluczyk\"><span class=\"fn\">Bess Bieluczyk<\/span><\/span><\/a><\/li><\/ul><\/div><\/aside><\/div><\/article><article id=\"post-36\" class=\"wppm-post 36 post-36 post type-post status-publish format-standard has-post-thumbnail hentry category-ai-for-design category-materials-design tag-company tag-sucess\"><div class=\"post-img\"><a href=\"https:\/\/hemi.jhu.edu\/caimee\/revolutionizing-materials-design-with-artificial-intelligence\/\" title=\"Revolutionizing Materials Design with Artificial Intelligence\"><img decoding=\"async\" class=\"wppm-img\" src=\"https:\/\/hemi.jhu.edu\/caimee\/wp-content\/uploads\/bfi_thumb\/news-stock-image5-77xy37papnq8313cxwgz2qn65huoeiqt5cioxu5x45s.jpg\" alt=\"Revolutionizing Materials Design with Artificial Intelligence\" title=\"Revolutionizing Materials Design with Artificial Intelligence\"\/><\/a><\/div><div class=\"post-content\"><aside class=\"meta-row cat-row\"><div class=\"meta-col\"><ul class=\"post-cats\"><li><a class=\"cat-ai-for-design\" href=\"https:\/\/hemi.jhu.edu\/caimee\/category\/ai-for-design\/\">AI for Design<\/a><\/li><li><a class=\"cat-materials-design\" href=\"https:\/\/hemi.jhu.edu\/caimee\/category\/materials-design\/\">Materials Design<\/a><\/li><\/ul><\/div><\/aside><h2 class=\"entry-title fw-400\"><a href=\"https:\/\/hemi.jhu.edu\/caimee\/revolutionizing-materials-design-with-artificial-intelligence\/\" title=\"Revolutionizing Materials Design with Artificial Intelligence\">Revolutionizing Materials Design with Artificial Intelligence<\/a><\/h2><aside class=\"meta-row row-3\"><div class=\"meta-col\"><ul class=\"entry-meta\"><li class=\"post-time\"><time class=\"entry-date updated\" datetime=\"2021-09-10T04:31:27-04:00\">September 10, 2021<\/time><\/li><li class=\"post-author schema-only\"><span class=\"screen-reader-text\">Author<\/span><a href=\"https:\/\/hemi.jhu.edu\/caimee\/author\/ebieluc1\/\"><span class=\"vcard author Bess Bieluczyk\"><span class=\"fn\">Bess Bieluczyk<\/span><\/span><\/a><\/li><\/ul><\/div><\/aside><\/div><\/article><article id=\"post-42\" class=\"wppm-post 42 post-42 post type-post status-publish format-standard has-post-thumbnail hentry category-ai-for-design tag-company tag-sucess\"><div class=\"post-img\"><a href=\"https:\/\/hemi.jhu.edu\/caimee\/using-machine-learning-to-predict-material-properties\/\" title=\"Using Machine Learning to Predict Material Properties\"><img decoding=\"async\" class=\"wppm-img\" src=\"https:\/\/hemi.jhu.edu\/caimee\/wp-content\/uploads\/bfi_thumb\/news-stock-image4-77xy3883hgexthalmup3m4ifddk3qsovs33qnfp58pc.jpg\" alt=\"Using Machine Learning to Predict Material Properties\" title=\"Using Machine Learning to Predict Material Properties\"\/><\/a><\/div><div class=\"post-content\"><aside class=\"meta-row cat-row\"><div class=\"meta-col\"><ul class=\"post-cats\"><li><a class=\"cat-ai-for-design\" href=\"https:\/\/hemi.jhu.edu\/caimee\/category\/ai-for-design\/\">AI for Design<\/a><\/li><\/ul><\/div><\/aside><h2 class=\"entry-title fw-400\"><a href=\"https:\/\/hemi.jhu.edu\/caimee\/using-machine-learning-to-predict-material-properties\/\" title=\"Using Machine Learning to Predict Material Properties\">Using Machine Learning to Predict Material Properties<\/a><\/h2><aside class=\"meta-row row-3\"><div class=\"meta-col\"><ul class=\"entry-meta\"><li class=\"post-time\"><time class=\"entry-date updated\" datetime=\"2021-09-09T04:30:27-04:00\">September 9, 2021<\/time><\/li><li class=\"post-author schema-only\"><span class=\"screen-reader-text\">Author<\/span><a href=\"https:\/\/hemi.jhu.edu\/caimee\/author\/ebieluc1\/\"><span class=\"vcard author Bess Bieluczyk\"><span class=\"fn\">Bess Bieluczyk<\/span><\/span><\/a><\/li><\/ul><\/div><\/aside><\/div><\/article><\/div>[vc_btn title=&#8221;View More&#8221; align=&#8221;center&#8221; css=&#8221;.vc_custom_1671730139075{margin-top: 30px !important;}&#8221; link=&#8221;url:%2Fnews%2F&#8221;][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221;][vc_column]<!-- Start Our Services\n    ============================================= --><div class=\"services-area text-center carousel-shadow default-padding vc_custom_1654281870102\"><div class=\"container\"><div class=\"row\"><div class=\"col-md-8 col-md-offset-2\"><div class=\"site-heading text-center\"><h4>What we do<\/h4><h2>Our Services<\/h2><\/div><\/div><\/div><\/div><div class=\"container-medium\"><div class=\"row\"><div 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Considered introduced themselves mr to discretion at. Means among saw hopes for.<\/p><\/li><li><h4>Startup Innovation<\/h4><p>Expenses judgment building man carriage gay. Considered introduced themselves mr to discretion at. Means among saw hopes for.<\/p><\/li><li><h4>Profit Benefit<\/h4><p>Expenses judgment building man carriage gay. Considered introduced themselves mr to discretion at. 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Unpleasing astonished discovered not nor shy. Morning hearted now met yet beloved evening. Has and upon his last here must. Horses nearer oh elinor of denote.<\/p><div class=\"author\"><div class=\"info\"><h4>Sunath park<\/h4><span>Markeing Manager<\/span><\/div><\/div><\/div><!-- End Single Item --><!-- Single Item --><div class=\"item\"><i class=\"fas fa-quote-right\"><\/i><p>Depending acuteness dependent eat use dejection. Unpleasing astonished discovered not nor shy. Morning hearted now met yet beloved evening. Has and upon his last here must. Horses nearer oh elinor of denote.<\/p><div class=\"author\"><div class=\"info\"><h4>Sunath park<\/h4><span>Markeing Manager<\/span><\/div><\/div><\/div><!-- End Single Item --><!-- Single Item --><div class=\"item\"><i class=\"fas fa-quote-right\"><\/i><p>Depending acuteness dependent eat use dejection. Unpleasing astonished discovered not nor shy. Morning hearted now met yet beloved evening. Has and upon his last here must. 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About CAIMEE The Center on Artificial Intelligence for Materials in Extreme Environments (CAIMEE) provides a focus for research activities that overcome these barriers through machine learning (ML)-accelerated computational models, artificial intelligence (AI)-\/data-driven design, integrative robotic automation, and novel high-throughput experimentation that will enable developing 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