diff --git a/presentation/mainmatter/jij-prediction.tex b/presentation/mainmatter/jij-prediction.tex
index 298b1533e1dce4d34d48d4fe3bb0620f51323e65..75063d74e38af2d13d9923d0942a85700fc6cc51 100644
--- a/presentation/mainmatter/jij-prediction.tex
+++ b/presentation/mainmatter/jij-prediction.tex
@@ -1,16 +1,66 @@
 \section{Machine learning magnetic exchange interactions}
 \label{sec:ml-exc-inter}
 
-\begin{frame}
-  \frametitle{TODO}
 
-  \TODO{Add slides:}
+% Slide jij-prediction
+\begin{frame}[plain,c]
+  \frametitle{Magnetic property prediction}
+  % \framesubtitle{}
+  \vspace*{0em}
+  \begin{columns}[c]
+    \begin{column}{0.48\linewidth}
+      % \begin{center}
+      \includegraphics[width=1.0\linewidth]{../resources/fig/external/papers/mozumderHighthroughputMagneticCodoping2024/processed/Fig4-clip-2x2-a.pdf}%
+      % \end{center}
+    \end{column}
+    \begin{column}{0.5\linewidth}
+      {\small
+        \logoAiida -KKR Database of transition metal defects embedded into a topological
+        insulator, in review\footcite{mozumderHighthroughputMagneticCodoping2024}
 
-  \begin{itemize}
-  \item co-doping and vimp-prediction slides from july
-  \end{itemize}
+        \vspace*{1em}
+
+        Benchmark study of atomistic ML interatomic potentials trained on the exchange
+        interaction \(J_{ij}\) for spin dynamics, ongoing
+
+        \[
+          H = -\frac{1}{2}\sum_{i,j}J_{ij} \, \vec{S}_i \cdot \vec{S}_j \longrightarrow J_{ij} = \sum_k \left( J_{ij}
+          \right)_k
+        \]
+      }
+      \vspace*{0em}
+
+      \begin{columns}
+        \begin{column}{0.55\linewidth}
+          \begin{center}
+            \includegraphics[width=0.8\linewidth]{../resources/fig/presentation-2023-06/jij-casus-experiment/parity-SOAP-KRR-rbf-rcut-7.6c.pdf}%
+          \end{center}
+          % \vspace*{-0.5em}
+          % {\scriptsize Parity plot} % figure label
+        \end{column}
+        \begin{column}{0.45\linewidth}
+          \hspace*{-10em}
+          {\small
+            \textbf{Data size} 2'000 calculations
+
+            \hspace*{-11em}
+            \textbf{Model} SOAP+KRR
+
+            \hspace*{-11em}
+            \textbf{Best model} \(\mathrm{MAE} = 0.21\),
+
+            \hspace*{-5em}
+            \(\mathrm{R^2} = 0.97\)
+            \vspace*{0.25em}
+          }
+        \end{column}
+      \end{columns}
+    \end{column}
+  \end{columns}
+  \vspace*{0em}
 \end{frame}
 
+
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