{"version":"1.0","provider_name":"JHU Engineering Magazine","provider_url":"https:\/\/engineering.jhu.edu\/magazine-archive","title":"So Long, Equations; Goodbye, Variables - JHU Engineering Magazine","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"brJDUSONeH\"><a href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/so-long-equations-goodbye-variables\/\">So Long, Equations; Goodbye, Variables<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/so-long-equations-goodbye-variables\/embed\/#?secret=brJDUSONeH\" width=\"600\" height=\"338\" title=\"&#8220;So Long, Equations; Goodbye, Variables&#8221; &#8212; JHU Engineering Magazine\" data-secret=\"brJDUSONeH\" 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:\/\/engineering.jhu.edu\/magazine-archive\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2018\/05\/Yannis-Illustration_THUMB.jpg","thumbnail_width":300,"thumbnail_height":200,"description":"Yannis Kevrekidis and his collaborators work on algorithms that exploit data to enhance, or even circumvent, conventional modeling of chemical and biological systems, and help scientists better predict system behavior\u2014from reaction rates to materials properties."}