A good dataset for Machine Learning models to test the prediction accuracy of poisson ratio of materials.
read moreA good dataset for Machine Learning models to test the prediction accuracy of shear modulus of materials.
read moreA good dataset for Machine Learning models to test the prediction accuracy of bulk modulus of materials.
read moreA good dataset for Machine Learning models to test the prediction accuracy of band gap of crystals.
read moreA good dataset for Machine Learning models to test the prediction accuracy of detecting whether a material is a metal (binary classification).
read moreA good dataset for Machine Learning models to test the prediction accuracy of fermi energy of crystals.
read moreA good dataset for Machine Learning models to test the prediction accuracy of absolute energy of crystals.
read moreA good dataset for Machine Learning models to test the prediction accuracy of formation energy of crystals.
read moreA good dataset for Machine Learning models to test the prediction accuracy of adsorption energy of alloy materials. The dataset has an element range of 42 and a total sample size of 37334.
read moreA good dataset for Machine Learning models to test the prediction accuracy of total energy of crystal clusters of Platinum. The dataset has an element range of 1 and a total sample size of 19801.
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