diff --git a/results/auto-generated-data-for-gnuplot/lc.dat b/results/auto-generated-data-for-gnuplot/lc.dat
index fd4622804..5b9fdc508 100644
--- a/results/auto-generated-data-for-gnuplot/lc.dat
+++ b/results/auto-generated-data-for-gnuplot/lc.dat
@@ -6,6 +6,14 @@
 0.8	4.927136126264077 0.21550055367576393	4.934675048321623 0.17680042171405216	
 
 
+#cyclo
+#training_size inreact_mean inreact_std equireact_mean equireact_std
+0.1	3.871330697613046 0.15879358968811522	3.881159631717355 0.172482026905275	
+0.2	3.3551722696169293 0.11082803173354647	3.326070965684868 0.1544649328763298	
+0.4	2.78320423784957 0.07376655588963095	2.7703433835649864 0.09091172328870153	
+0.8	2.3615039049943967 0.047200476959143374	2.3142308786104673 0.07941888150657982	
+
+
 #proparg
 #training_size inreact_mean inreact_std equireact_mean equireact_std
 0.1	0.9389208112846317 0.21737858562981666	0.9175845853672732 0.19872278061549556	
diff --git a/results/get-tables.py b/results/get-tables.py
index 34b2eaea9..ffb1641dd 100755
--- a/results/get-tables.py
+++ b/results/get-tables.py
@@ -363,7 +363,7 @@ def dump_extrapolation_data(geometry='dft', use_H=False, use_rmse=False, invaria
 def dump_lc_data(geometry='dft', use_H=False, use_rmse=False, splitter='random', atom_mapping='true'):
     h_key = "withH" if use_H else "noH"
     with open(f'{outdir}/lc.dat', 'w') as f:
-        for dataset in ['gdb', 'proparg']:
+        for dataset in ['gdb', 'cyclo', 'proparg']:
             print(f'#{dataset}', file=f)
             print('#training_size inreact_mean inreact_std equireact_mean equireact_std', file=f)
             for training_size in [0.1, 0.2, 0.4, 0.8]:
diff --git a/results/results.txt b/results/results.txt
index 04189672a..7e41f1225 100644
--- a/results/results.txt
+++ b/results/results.txt
@@ -485,6 +485,106 @@ cv10-proparg-inv-random-noH-dft-true-ns64-nv64-d64-l3-vector-diff-node 0.3270345
 cv10-proparg-inv-random-noH-dft-normal-ns64-nv64-d64-l3-vector-diff-node 0.33915456505070285 0.06463822289726959 0.604028476715025 0.16326652699523833
 
 
+ia0kozay lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 123 2.378788760565486 3.236864358716873
+f1liywgu lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 123 2.7634353806943563 3.7307126115650977
+c6xy3wo2 lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.2 123 3.43409820867205 4.617381496798491
+te9nv16m lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.1 123 3.8475848361427554 5.010902250601415
+obdgm4eq lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 123 4.561974838005486 5.877522948070882
+7lj9cvm6 lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 130 2.273053868373371 3.23577139105735
+88jrur6z lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 132 2.3269152609564334 3.191134860821052
+2pyf60y1 lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 129 2.2431296288129747 3.1604459600788117
+o5zdegz5 lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 131 2.276662597857495 3.134205280944454
+nzkw0byr lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 128 2.3149772184625146 3.093967337616858
+k3jbpm89 lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 132 2.835035893869202 3.9521799986887984
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+de5mxfpp lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.2 129 3.250203165694896 4.354177479508544
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+gmspz3ki lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 125 2.820477513636937 3.687065291998151
+1pd1v8if lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 127 4.3434892888808605 5.633350154028574
+e19gcin2 lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 126 4.679026075311389 6.408173723241345
+gb46rtqs lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 124 2.7135543624714753 3.7064950504333374
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+72fij06z lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.2 124 3.391544010792914 4.542263672686529
+pv78f26v lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.1 125 3.900210069326926 5.160781477372865
+p13y6x4o lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 125 4.220003159563144 5.7751288949897255
+fymq1yaq lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.1 124 3.881491322188323 5.1485650602049144
+cjko2kqz lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 124 4.708828980040805 6.155985055643573
 xxvxoitm cv10-cyclo-ydesc-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node 132 5.014233689119474 5.96215513777102
 wwbpcjfa cv10-cyclo-ydesc-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node 131 4.296190496730141 5.2815680465651935
 sivmnxai cv10-cyclo-ydesc-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node 130 4.869291401627023 5.909376178013074
@@ -1046,6 +1146,16 @@ f3i590i3 cv10-cyclo-inv-random-noH-dft-normal-ns64-nv48-d48-l2-energy-diff-node
 44v533e1 cv10-cyclo-inv-random-noH-dft-normal-ns64-nv48-d48-l2-energy-diff-node 124 2.382396623875379 3.216635865224172
 q9l9xigh cv10-cyclo-inv-random-noH-dft-normal-ns64-nv48-d48-l2-energy-diff-node 125 2.3817891627896377 3.223348069351869
 
+lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 2.3615039049943967 0.047200476959143374 3.3187403308757717 0.18669063580367293
+lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 2.78320423784957 0.07376655588963095 3.8321948462710274 0.16067193584731704
+lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.2 3.3551722696169293 0.11082803173354647 4.511847961814634 0.21065105030573766
+lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.1 3.871330697613046 0.15879358968811522 5.15152252840097 0.27221474926044736
+lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 4.497089064309309 0.14597131995853999 5.926421871501725 0.2176824365945759
+lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.8 2.3142308786104673 0.07941888150657982 3.2335440271464173 0.23200597458034938
+lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.4 2.7703433835649864 0.09091172328870153 3.834652336045548 0.21352910437392492
+lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.2 3.326070965684868 0.1544649328763298 4.511442461439798 0.2624380397678864
+lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.1 3.881159631717355 0.172482026905275 5.167758112363737 0.2730124971074007
+lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node.tr0.05 4.483928556003756 0.15276939219830676 5.925391060162343 0.26965490369673295
 cv10-cyclo-ydesc-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node 4.785516662367433 0.5005810300543582 5.770037320245469 0.45749106900183006
 cv10-cyclo-ydesc-noH-dft-rxnmapper-ns64-nv48-d48-l2-energy-diff-node 4.639682373463038 0.48664601899574567 5.680019656007882 0.4444534869454856
 cv10-cyclo-ydesc-noH-dft-normal-ns64-nv48-d48-l2-energy-diff-node 5.067288908581696 0.27815954618853617 6.19541737721386 0.23286062553892575
diff --git a/submit-cv/lc-cyclo-inv-random-noH-dft-true.sbatch b/submit-cv/lc-cyclo-inv-random-noH-dft-true.sbatch
new file mode 100644
index 000000000..ce9efe30b
--- /dev/null
+++ b/submit-cv/lc-cyclo-inv-random-noH-dft-true.sbatch
@@ -0,0 +1,48 @@
+#!/bin/bash -l
+#SBATCH --partition=gpu
+#SBATCH --nodes=1
+#SBATCH --gpus-per-node=1
+#SBATCH --cpus-per-task=1
+#SBATCH --ntasks=1
+#SBATCH --mem=8GB
+#SBATCH --time=24:00:00
+#SBATCH --job-name=equireact
+#SBATCH --array=0-9
+#SBATCH --exclude=i39
+
+SEED=$(( $SLURM_ARRAY_TASK_ID + 123 ))
+
+module purge
+conda activate equireact
+python -c 'import torch; print(torch.cuda.is_available())'
+wandb enabled
+
+python train.py \
+--device cuda \
+--experiment_name final-cv-80 \
+--CV 1 \
+--num_epochs 512 \
+--seed ${SEED} \
+--logdir /scratch/izar/briling/cv \
+--dataset cyclo \
+--train_frac 0.8 \
+--combine_mode diff \
+--distance_emb_dim 48 \
+--dropout_p 0.1 \
+--graph_mode energy \
+--lr 0.001 \
+--max_neighbors 50 \
+--n_conv_layers 2 \
+--n_s 64 \
+--n_v 48 \
+--radius 2.5 \
+--sum_mode node \
+--weight_decay 0.00001 \
+--two_layers_atom_diff \
+--atom_mapping \
+--splitter random \
+--noH \
+--wandb_name lc-cv10-cyclo-inv-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node \
+--invariant \
+--learning_curve \
+
diff --git a/submit-cv/lc-cyclo-random-noH-dft-true.sbatch b/submit-cv/lc-cyclo-random-noH-dft-true.sbatch
new file mode 100644
index 000000000..6f85bb7fe
--- /dev/null
+++ b/submit-cv/lc-cyclo-random-noH-dft-true.sbatch
@@ -0,0 +1,47 @@
+#!/bin/bash -l
+#SBATCH --partition=gpu
+#SBATCH --nodes=1
+#SBATCH --gpus-per-node=1
+#SBATCH --cpus-per-task=1
+#SBATCH --ntasks=1
+#SBATCH --mem=8GB
+#SBATCH --time=24:00:00
+#SBATCH --job-name=equireact
+#SBATCH --array=0-9
+#SBATCH --exclude=i39
+
+SEED=$(( $SLURM_ARRAY_TASK_ID + 123 ))
+
+module purge
+conda activate equireact
+python -c 'import torch; print(torch.cuda.is_available())'
+wandb enabled
+
+python train.py \
+--device cuda \
+--experiment_name final-cv-80 \
+--CV 1 \
+--num_epochs 512 \
+--seed ${SEED} \
+--logdir /scratch/izar/briling/cv \
+--dataset cyclo \
+--train_frac 0.8 \
+--combine_mode diff \
+--distance_emb_dim 48 \
+--dropout_p 0.1 \
+--graph_mode energy \
+--lr 0.001 \
+--max_neighbors 50 \
+--n_conv_layers 2 \
+--n_s 64 \
+--n_v 48 \
+--radius 2.5 \
+--sum_mode node \
+--weight_decay 0.00001 \
+--two_layers_atom_diff \
+--atom_mapping \
+--splitter random \
+--noH \
+--wandb_name lc-cv10-cyclo-random-noH-dft-true-ns64-nv48-d48-l2-energy-diff-node \
+--learning_curve \
+