{"version":"1.0","provider_name":"Technion-Haifa University String Theory Group","provider_url":"https:\/\/phsites.technion.ac.il\/strings","author_name":"Technion-Haifa University String Theory Group","author_url":"https:\/\/phsites.technion.ac.il\/strings","title":"An ansatz for one dimensional steady-state configurations - Technion-Haifa University String Theory Group","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BcQNz600Kn\"><a href=\"https:\/\/phsites.technion.ac.il\/strings\/an-ansatz-for-one-dimensional-steady-state-configurations\/\">An ansatz for one dimensional steady-state configurations<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/phsites.technion.ac.il\/strings\/an-ansatz-for-one-dimensional-steady-state-configurations\/embed\/#?secret=BcQNz600Kn\" width=\"600\" height=\"338\" title=\"&#8220;An ansatz for one dimensional steady-state configurations&#8221; &#8212; Technion-Haifa University String Theory Group\" data-secret=\"BcQNz600Kn\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/phsites.technion.ac.il\/strings\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"While statistical mechanics provides us with powerful tools to analyze systems in equi- librium, most of the world around us is far from this idealized situation. Near thermal equilibrium, one can use hydrodynamics to analyze the dynamics of small, long wavelength fluctuations. But to understand far from equilibrium physics is a notoriously challenging problem. An &hellip;"}