Software & Data Resources
MASTML_Metallic_Glass_Shear_Modulus
A extreme gradient boosted trees (XGBoost) model predicting metallic glass shear modulus values from accessible elemental feature inputs is shared on the DLHub hosting site. The model is callable with the DLHub API.
MASTML_Metallic_Glass_Youngs_Modulus
A scikit-learn Gradient Boosted Trees model predicting metallic glass young’s modulus values from accessible elemental feature inputs is shared on the DLHub hosting site. The model is callable with the DLHub API.
Materials Data Bank
New tool
Organic Crystals in Electronic and Light-Oriented Technologies
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PDFitc
Penn Glass Database
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Polymer Visualization
This Polymer Visualization software offers a user-friendly way to plot outputs from the Self-Consistent Field Theory (SCFT) calculations, allowing automatic plotting of 1D, 2D and 3D concentration profiles for multiblock systems. The code has been updated so that it can produce structure factors of the form S(q) where q is the magnitude of the scattering wave vector. This new capability is especially important for direct comparison with experimental results, which are often obtained by small-angle X-ray scattering (SAXS) and thus directly probe the structure factor of the material.
Thermal MIT Materials Database
Thermoelectrics Design Lab
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