Codebase for compiling a database of materials syntheses
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Updated
Jun 12, 2017 - Python
Codebase for compiling a database of materials syntheses
Codebase for Synthesis Project API server
Periodic Voronoi Tesselation of Crystals and Feature Extraction for Quantum Machine Learning in Python
A Deep Learning Model For Homogenization of Two-Phase High-Contrast Three-dimensional Materials
A deep learning based domain knowledge integration for small dataset
A Deep Learning Model For Localization of Two-Phase High-Contrast Three-dimensional Materials
Microstructural Materials Design Via Deep Adversarial Learning Methodology
A deep learning based domain knowledge integration for small dataset
Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations
Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Graph convolutional neural network (GCN) for molecular and solid-state materials property predictions.
Python package for removal of duplicates in (solid state) structural databases
Thermodynamics powered by Machine Learning
Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.
Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging
A Deep Learning Model For Localization of Two-Phase High-Contrast Three-dimensional Materials
PointNet-based 3D deep learning model designed for decoding the structure-property relationship for generic crystalline materials.
SynCheck is a web interface for the Text Mining Pipeline that processes synthesis text, extracts information about targets, precursors and synthesis operations, and constructs synthesis graph.
Examples of using the Novel Materials Discovery (NOMAD) database, especially downloading all chemical formulas.
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