<p>Materials Datasets with 273 compositional and structural features extracted from <a href="https://github.com/hackingmaterials/matminer">Matminer</a>. Materials datasets are retrieved using the python package <a href="https://github.com/usnistgov/jarvis">jarvis-tools</a>.</p>
A Materials Domain Language Model for Text Mining and Information Extraction This repository includ...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object re...
Materials Datasets with 273 compositional and structural features extracted from Matminer. Materials...
As materials data sets grow in size and scope, the role of data mining and statistical learning meth...
Various properties of 24,759 bulk and 2D materials computed with the OptB88vdW and TBmBJ functionals...
Materialtools is a set of modules, objects, and functions to import, export, manipulate, and visuali...
312 steels with experimental yield strength and ultimate tensile strength, extracted and cleaned (in...
Various properties of 25,923 bulk materials and 636 2D materials computed with the OptB88vdW and TB...
Code and data for "On the redundancy in large material datasets: efficient and robust learning with ...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for st...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
Data for "On the redundancy in large material datasets: efficient and robust learning with less data...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
A Materials Domain Language Model for Text Mining and Information Extraction This repository includ...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object re...
Materials Datasets with 273 compositional and structural features extracted from Matminer. Materials...
As materials data sets grow in size and scope, the role of data mining and statistical learning meth...
Various properties of 24,759 bulk and 2D materials computed with the OptB88vdW and TBmBJ functionals...
Materialtools is a set of modules, objects, and functions to import, export, manipulate, and visuali...
312 steels with experimental yield strength and ultimate tensile strength, extracted and cleaned (in...
Various properties of 25,923 bulk materials and 636 2D materials computed with the OptB88vdW and TB...
Code and data for "On the redundancy in large material datasets: efficient and robust learning with ...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for st...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
Data for "On the redundancy in large material datasets: efficient and robust learning with less data...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
A Materials Domain Language Model for Text Mining and Information Extraction This repository includ...
This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object re...