SOTAVerified

Formation Energy

On the QM9 dataset the numbers reported in the table are the mean absolute error in eV on the target variable U0 divided by U0's chemical accuracy, which is equal to 0.043.

Papers

Showing 21–30 of 54 papers

TitleStatusHype
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional MaterialsCode1
Efficient Approximations of Complete Interatomic Potentials for Crystal Property PredictionCode0
MatMMFuse: Multi-Modal Fusion model for Material Property PredictionCode0
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property PredictionCode0
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and MaterialsCode0
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretabilityCode0
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsCode0
Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian OptimizationCode0
Unleashing the power of novel conditional generative approaches for new materials discoveryCode0
DScribe: Library of Descriptors for Machine Learning in Materials ScienceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HDAD+KRRMAE0.58—Unverified
2MPNNMAE0.49—Unverified
3SchNetMAE0.31—Unverified
4ALIGNNMAE0.3—Unverified
5MEGNet-simpleMAE0.28—Unverified
6HIP-NNMAE0.26—Unverified
7SchNet-edge-updateMAE0.24—Unverified
8MEGNet-FullMAE0.21—Unverified
9PhysNetMAE0.19—Unverified
10DimeNetMAE0.19—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-CGCNNMAE41—Unverified
2CGCNNMAE39—Unverified
3SchNetMAE35—Unverified
4SchNetMAE31.8—Unverified
5MEGNetMAE28—Unverified
6SchNet-edge-updateMAE22.7—Unverified
7MatformerMAE21.2—Unverified
8PotNetMAE18.8—Unverified
9CartNetMAE17.47—Unverified
#ModelMetricClaimedVerifiedStatus
1CGCNNMAE0.06—Unverified
2SchNetMAE0.05—Unverified
3ALIGNNMAE0.03—Unverified
4MatformerMAE0.03—Unverified
5PotNetMAE0.03—Unverified
6CartNetMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1BOTNetMAE5—Unverified
2AllegroMAE4.13—Unverified
3MACEMAE4—Unverified
4NequIPMAE3.15—Unverified
#ModelMetricClaimedVerifiedStatus
1BOTNetMAE2—Unverified
2MACEMAE2—Unverified
3NequIPMAE1.38—Unverified
4AllegroMAE0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1AllegroMAE14.36—Unverified
2MACEMAE13.79—Unverified
3BOTNetMAE12.63—Unverified
4NequIPMAE9.27—Unverified
#ModelMetricClaimedVerifiedStatus
1MACEMAE209.96—Unverified
2BOTNetMAE203.83—Unverified
3AllegroMAE6.94—Unverified
4NequIPMAE4.99—Unverified
#ModelMetricClaimedVerifiedStatus
1BOTNetMAE3,034—Unverified
2MACEMAE2,670—Unverified
3NequIPMAE1,780.95—Unverified
4AllegroMAE1,009.4—Unverified
#ModelMetricClaimedVerifiedStatus
1NequIPMAE165.43—Unverified
2AllegroMAE31.75—Unverified
3MACEMAE30—Unverified
4BOTNetMAE28—Unverified
#ModelMetricClaimedVerifiedStatus
1AllegroMAE33.17—Unverified
2NequIPMAE26.8—Unverified
3BOTNetMAE24.59—Unverified
4MACEMAE14.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BOTNetMAE182.55—Unverified
2MACEMAE161.74—Unverified
3AllegroMAE5.82—Unverified
4NequIPMAE2.66—Unverified
#ModelMetricClaimedVerifiedStatus
1CGNN-128MAE35.7—Unverified
2CGNN-160MAE35.1—Unverified
3CGNN-192MAE34.6—Unverified
4CGNN EnsembleMAE30.5—Unverified
#ModelMetricClaimedVerifiedStatus
1MACEMAE165.29—Unverified
2BOTNetMAE153.06—Unverified
3AllegroMAE8.59—Unverified
4NequIPMAE6.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SchNetMAE0.31—Unverified
2CGNN Trio EnsembleMAE0.04—Unverified
3CGNN Full EnsembleMAE0.03—Unverified