diff --git a/benzene.nb b/benzene.nb
index 56113ee..673dcca 100644
--- a/benzene.nb
+++ b/benzene.nb
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 Cell[CellGroupData[{
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-Cell[9663, 260, 252846, 4759, 584, "Output",ExpressionUUID->"2dbe76ae-44dd-4db5-a929-ca7ce59a9312"]
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+Cell[10936, 273, 252866, 4759, 584, "Output",ExpressionUUID->"9d79cb0d-a3f4-484b-8e7d-1941acda788c"]
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diff --git a/benzene.tex b/benzene.tex
index 38397a9..9a87ea1 100644
--- a/benzene.tex
+++ b/benzene.tex
@@ -155,9 +155,9 @@ The CIPSI number is ?
 
 %%$ FIG. 1 %%%
 \begin{figure*}
-	\includegraphics[width=0.45\linewidth]{fig1a}
+	\includegraphics[width=0.4\linewidth]{fig1a}
 	\hspace{0.08\linewidth}
-	\includegraphics[width=0.45\linewidth]{fig1b}
+	\includegraphics[width=0.4\linewidth]{fig1b}
 	\caption{
 	Convergence of the CIPSI correlation energy for benzene.
 	Left: $\Delta E_\text{var.}$, $\Delta E_\text{var.} + E_\text{PT2}$, and $\Delta E_\text{var.} + E_\text{rPT2}$ (in m$E_h$) as functions of the number of determinants in the variational space.
@@ -168,6 +168,36 @@ The CIPSI number is ?
 	}
 \end{figure*}
 
+%%% TABLE 2 %%%
+%\begin{squeezetable}
+\begin{table*}
+\caption{Variational energy $E_\text{var.}$, second-order perturbative correction $E_\text{PT2}$ and its renormalized version $E_\text{rPT2}$ (in $E_h$) as a function of the number of determinants $N_\text{det}$ for the ground-state of the benzene molecule computed in the cc-pVDZ basis set. 
+The statistical errors ($\delta E_\text{PT2}$ and $\delta E_\text{rPT2}$), corresponding to one standard deviation, are also reported.}
+\label{tab:Cr2}
+\begin{ruledtabular}
+\begin{tabular}{rddddd}
+\tabc{$N_\text{det}$}	&	\tabc{$E_\text{var.}$}	&	\tabc{$E_\text{PT2}$}	&	\tabc{$\delta E_\text{PT2}$}	&	\tabc{$E_\text{rPT2}$}	&	\tabc{$\delta E_\text{rPT2}$}	\\	
+\hline
+       12418  &	-231.17094496  &	-0.36188641     &	0.00040193  &	-0.32968372    &	 0.00036616 \\
+       24841  &	-231.24480922  &	-0.28851015     &	0.00046895  &	-0.26939524    &	 0.00043788 \\
+       49683  &	-231.31129020  &	-0.22584693     &	0.00043741  &	-0.21493067    &	 0.00041627 \\
+       99367  &	-231.35989232  &	-0.18072875     &	0.00030762  &	-0.17412788    &	 0.00029638 \\
+      198754  &	-231.38819148  &	-0.15638840     &	0.00023911  &	-0.15163900    &	 0.00023185 \\
+      397561  &	-231.40076198  &	-0.14599792     &	0.00024280  &	-0.14195331    &	 0.00023608 \\
+      795126  &	-231.40804005  &	-0.14060686     &	0.00023393  &	-0.13690453    &	 0.00022777 \\
+     1590261  &	-231.41441889  &	-0.13567145     &	0.00024941  &	-0.13227230    &	 0.00024316 \\
+     3180532  &	-231.41959399  &	-0.13129538     &	0.00023846  &	-0.12814025    &	 0.00023273 \\
+     6361098  &	-231.42421895  &	-0.12727083     &	0.00024438  &	-0.12432787    &	 0.00023873 \\
+    12722217  &	-231.43050041  &	-0.12234780     &	0.00023326  &	-0.11965826    &	 0.00022813 \\
+    25444447  &	-231.43883900  &	-0.11574659     &	0.00022627  &	-0.11336968    &	 0.00022163	 \\
+    Extrap.	  &         	   &    				&      		     &           		\\
+  \end{tabular}
+\end{ruledtabular}
+\end{table*}
+%\end{squeezetable}
+%%% %%% %%% %%%
+
+
 % Acknowledgements
 This work was performed using HPC resources from GENCI-TGCC (Grand Challenge 2019-gch0418) and from CALMIP (Toulouse) under allocation 2020-18005.