<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tools on Sibasankar Panigrahy</title><link>https://siba-p.github.io/tags/tools/</link><description>Recent content in Tools on Sibasankar Panigrahy</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 09 Oct 2026 10:30:00 +0530</lastBuildDate><atom:link href="https://siba-p.github.io/tags/tools/index.xml" rel="self" type="application/rss+xml"/><item><title>Introducing WindowWise: plan, check and repair umbrella sampling</title><link>https://siba-p.github.io/notebook/2026-10-09-introducing-windowwise/</link><pubDate>Fri, 09 Oct 2026 10:30:00 +0530</pubDate><guid>https://siba-p.github.io/notebook/2026-10-09-introducing-windowwise/</guid><description>&lt;p&gt;During my PhD I ran a very large number of umbrella-sampling simulations. The two mistakes I made most often were spacing the windows too far apart and using springs too soft for a steep part of the free-energy profile. Both fail quietly: WHAM still returns a smooth-looking curve, and the problem only shows up later, if at all.&lt;/p&gt;</description></item></channel></rss>