{"version":"1.0","provider_name":"Microanalytical Chemistry Lab","provider_url":"https:\/\/scienceweb.clemson.edu\/uacl","author_name":"CDG","author_url":"https:\/\/scienceweb.clemson.edu\/uacl\/author\/carlos\/","title":"Machine Learning and DES - Microanalytical Chemistry Lab","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Qf8vJDDRZA\"><a href=\"https:\/\/scienceweb.clemson.edu\/uacl\/ai-des\/\">Machine Learning and DES<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/scienceweb.clemson.edu\/uacl\/ai-des\/embed\/#?secret=Qf8vJDDRZA\" width=\"600\" height=\"338\" title=\"&#8220;Machine Learning and DES&#8221; &#8212; Microanalytical Chemistry Lab\" data-secret=\"Qf8vJDDRZA\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/scienceweb.clemson.edu\/uacl\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/scienceweb.clemson.edu\/uacl\/wp-content\/uploads\/sites\/46\/2025\/04\/ML_DES.jpg","thumbnail_width":750,"thumbnail_height":750,"description":"A smarter way to discover eutectics The application of deep eutectic solvents (DES) in the pharmaceutical, agricultural, and food industries represents one of the fastest growing fields of green chemistry, as these mixtures can potentially replace traditional organic solvents. These advances are, however, limited by the development of new systems which is today, almost exclusively empirically driven and often derivative from known mixtures. To overcome this limitation, our group has pioneered the use of AI to recognize chemical patterns leading to the formation of DES\/NADES. This strategy has the potential to transform a number of industries, streamlining the use of [&hellip;]"}