diff --git a/preview/pr-7/2019/01/07/example-post-1.html b/preview/pr-7/2019/01/07/example-post-1.html
index 44d20699..9eeef405 100644
--- a/preview/pr-7/2019/01/07/example-post-1.html
+++ b/preview/pr-7/2019/01/07/example-post-1.html
@@ -62,10 +62,10 @@
 
   <meta name="author" content="sarah-johnson">
   <meta property="og:type" content="article">
-  <meta property="og:updated_time" content="2024-01-15T17:14:52+00:00">
+  <meta property="og:updated_time" content="2024-01-24T10:27:41+00:00">
   <meta property="article:published_time" content="2019-01-07T00:00:00+00:00">
-  <meta property="article:modified_time" content="2024-01-15T17:14:52+00:00">
-  <meta name="revised" content="2024-01-15T17:14:52+00:00">
+  <meta property="article:modified_time" content="2024-01-24T10:27:41+00:00">
+  <meta name="revised" content="2024-01-24T10:27:41+00:00">
 
 
 <script type="application/ld+json">
@@ -75,7 +75,7 @@
       "@type": "BlogPosting",
       "author": { "@type": "Person", "name": "Example post 1" },
       "datePublished": "2019-01-07T00:00:00+00:00",
-      "dateModified": "2024-01-15T17:14:52+00:00",
+      "dateModified": "2024-01-24T10:27:41+00:00",
     
     "name": "Example post 1",
     "description": "Hamprecht Lab, IWR, Heidelberg University. Developing principled AI methods to solve hard problems from the natural sciences.",
@@ -492,7 +492,7 @@ <h1 class="center">Example post 1</h1>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
diff --git a/preview/pr-7/2021/09/30/example-post-2.html b/preview/pr-7/2021/09/30/example-post-2.html
index 647f6e59..fbce063c 100644
--- a/preview/pr-7/2021/09/30/example-post-2.html
+++ b/preview/pr-7/2021/09/30/example-post-2.html
@@ -62,10 +62,10 @@
 
   <meta name="author" content="jane-smith">
   <meta property="og:type" content="article">
-  <meta property="og:updated_time" content="2024-01-15T17:14:52+00:00">
+  <meta property="og:updated_time" content="2024-01-24T10:27:41+00:00">
   <meta property="article:published_time" content="2021-09-30T00:00:00+00:00">
-  <meta property="article:modified_time" content="2024-01-15T17:14:52+00:00">
-  <meta name="revised" content="2024-01-15T17:14:52+00:00">
+  <meta property="article:modified_time" content="2024-01-24T10:27:41+00:00">
+  <meta name="revised" content="2024-01-24T10:27:41+00:00">
 
 
 <script type="application/ld+json">
@@ -75,7 +75,7 @@
       "@type": "BlogPosting",
       "author": { "@type": "Person", "name": "Example post 2" },
       "datePublished": "2021-09-30T00:00:00+00:00",
-      "dateModified": "2024-01-15T17:14:52+00:00",
+      "dateModified": "2024-01-24T10:27:41+00:00",
     
     "name": "Example post 2",
     "description": "Hamprecht Lab, IWR, Heidelberg University. Developing principled AI methods to solve hard problems from the natural sciences.",
@@ -492,7 +492,7 @@ <h1 class="center">Example post 2</h1>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
diff --git a/preview/pr-7/2023/02/23/example-post-3.html b/preview/pr-7/2023/02/23/example-post-3.html
index 99c617d5..604ed874 100644
--- a/preview/pr-7/2023/02/23/example-post-3.html
+++ b/preview/pr-7/2023/02/23/example-post-3.html
@@ -62,10 +62,10 @@
 
   <meta name="author" content="john-doe">
   <meta property="og:type" content="article">
-  <meta property="og:updated_time" content="2024-01-15T17:14:52+00:00">
+  <meta property="og:updated_time" content="2024-01-24T10:27:41+00:00">
   <meta property="article:published_time" content="2023-02-23T00:00:00+00:00">
-  <meta property="article:modified_time" content="2024-01-15T17:14:52+00:00">
-  <meta name="revised" content="2024-01-15T17:14:52+00:00">
+  <meta property="article:modified_time" content="2024-01-24T10:27:41+00:00">
+  <meta name="revised" content="2024-01-24T10:27:41+00:00">
 
 
 <script type="application/ld+json">
@@ -75,7 +75,7 @@
       "@type": "BlogPosting",
       "author": { "@type": "Person", "name": "Example post 3" },
       "datePublished": "2023-02-23T00:00:00+00:00",
-      "dateModified": "2024-01-15T17:14:52+00:00",
+      "dateModified": "2024-01-24T10:27:41+00:00",
     
     "name": "Example post 3",
     "description": "Hamprecht Lab, IWR, Heidelberg University. Developing principled AI methods to solve hard problems from the natural sciences.",
@@ -492,7 +492,7 @@ <h1 class="center">Example post 3</h1>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
diff --git a/preview/pr-7/blog/index.html b/preview/pr-7/blog/index.html
index 569602d7..0db82d89 100644
--- a/preview/pr-7/blog/index.html
+++ b/preview/pr-7/blog/index.html
@@ -584,7 +584,7 @@ <h3 id="2023">2023</h3>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
@@ -648,7 +648,7 @@ <h3 id="2021">2021</h3>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
@@ -700,7 +700,7 @@ <h3 id="2019">2019</h3>
   
     <span data-tooltip="Last updated on">
       <i class="icon fa-solid fa-clock-rotate-left"></i>
-      <span>January 15, 2024</span>
+      <span>January 24, 2024</span>
     </span>
   
 </div>
diff --git a/preview/pr-7/feed.xml b/preview/pr-7/feed.xml
index ff444d91..c1cd21fa 100644
--- a/preview/pr-7/feed.xml
+++ b/preview/pr-7/feed.xml
@@ -1 +1 @@
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\ No newline at end of file
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="/preview/pr-7/feed.xml" rel="self" type="application/atom+xml" /><link href="/preview/pr-7/" rel="alternate" type="text/html" /><updated>2024-01-24T10:28:34+00:00</updated><id>/preview/pr-7/feed.xml</id><title type="html">Scientific AI</title><subtitle>Developing principled AI methods to solve hard problems from the natural sciences.</subtitle><entry><title type="html">Example post 3</title><link href="/preview/pr-7/2023/02/23/example-post-3.html" rel="alternate" type="text/html" title="Example post 3" /><published>2023-02-23T00:00:00+00:00</published><updated>2024-01-24T10:27:41+00:00</updated><id>/preview/pr-7/2023/02/23/example-post-3</id><content type="html" xml:base="/preview/pr-7/2023/02/23/example-post-3.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>john-doe</name></author><category term="biology," /><category term="medicine" /><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary></entry><entry><title type="html">Example post 2</title><link href="/preview/pr-7/2021/09/30/example-post-2.html" rel="alternate" type="text/html" title="Example post 2" /><published>2021-09-30T00:00:00+00:00</published><updated>2024-01-24T10:27:41+00:00</updated><id>/preview/pr-7/2021/09/30/example-post-2</id><content type="html" xml:base="/preview/pr-7/2021/09/30/example-post-2.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>jane-smith</name></author><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary></entry><entry><title type="html">Example post 1</title><link href="/preview/pr-7/2019/01/07/example-post-1.html" rel="alternate" type="text/html" title="Example post 1" /><published>2019-01-07T00:00:00+00:00</published><updated>2024-01-24T10:27:41+00:00</updated><id>/preview/pr-7/2019/01/07/example-post-1</id><content type="html" xml:base="/preview/pr-7/2019/01/07/example-post-1.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>sarah-johnson</name></author><category term="biology" /><category term="medicine" /><category term="big data" /><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary></entry></feed>
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diff --git a/preview/pr-7/sitemap.xml b/preview/pr-7/sitemap.xml
index ec975b23..199d2fd2 100644
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 <loc>/preview/pr-7/members/dmitry-kobak.html</loc>
-<lastmod>2024-01-15T17:14:52+00:00</lastmod>
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-<lastmod>2024-01-15T17:14:52+00:00</lastmod>
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 <url>
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 <url>
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 </url>
 <url>
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 <url>
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 </url>
 <url>
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 </url>
 <url>
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 </url>
 <url>
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diff --git a/preview/pr-7/teaching/24s/gmlqc/index.md b/preview/pr-7/teaching/24s/gmlqc/index.md
index 7e8325ba..33284e7b 100644
--- a/preview/pr-7/teaching/24s/gmlqc/index.md
+++ b/preview/pr-7/teaching/24s/gmlqc/index.md
@@ -1,2 +1,37 @@
-### Title 
-Test
+# Geometric Machine Learning in Quantum Chemistry 
+
+_Quantum Chemistry_ allows predicting the properties of molecular systems with great precision by invoking and "solving" the laws of quantum mechanics. Unfortunately, it is held by the computational effort which scales poorly with the size of the system under study. Machine Learning is about to revolutionize the field of electronic structure theory by bringing down the computational effort. Principled machine learning approaches respect the roto-translational symmetries of the problem. This is the dominion of _geometric machine learning_. 
+
+The aim of the lecture is to enable you to approach and understand the latest literature in this burgeoning field. It broadly divided into three parts focusing on elements of quantum chemistry, elements of geometric machine learning, and their synthesis. 
+
+## Style 
+The lecture is a slow-paced blackboard lecture. There are no lecture notes and you are expected to take your own notes (not just take a picture at the end of class). In the final part of the term, you will read some of the latest works in the field, and we will discuss those in an inverted classroom setting. 
+
+Exercises are mostly computational (running experiments with pySCF and other packages, plus some python coding) and partly pen-and-paper. 
+
+## Contents 
+### Part 1: Quantum Chemistry 
+* Introduction, Born-Oppenheimer approximation
+* Multi electron wave function, Hartree product, Slater determinants
+* Hartree-Fock approximation
+* Basis functions and numerics
+* Density functional theory
+* Exchange and correlation holes and functionals
+### Part 2: Geometric Machine Learning
+* Graph convolutional neural networks, attention, message passing neural networks
+* Irreducible representations of SO(3) and spherical harmonics
+* Tensor field equivariant neural networks
+### Part 3: Synthesis 
+* KineticNet (Inverted classroom) 
+* M-OFDFT (Inverted classroom) 
+  
+### Prerequisites
+One lecture in quantum mechanics, basic notions of machine learning. 
+
+### Formalities
+
+Time and Place: To allow students to reach Neuenheimer Feld in time for the next lecture, we start at 9h00 (not 9h15). The lecture is on Thursdays in the "Kleine Hörsaal" (second floor) of Philosophenweg 12. 
+
+The lecture accounts for 6CP and can be elected as part of the Computational Physics Specialization. 
+
+Registration is not required. Simply come to the first lecture on April 18th.