machine_learning_glass

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machine_learning_glass

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## Machine Learning (Glass)

### This repository contains code for the following papers:

1. [**Deep Learning Aided Rational Design of Oxide Glasses**](https://arxiv.org/abs/1912.11582) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/Deep_Learning_Aided_Rational_Design_of_Oxide_Glasses))
2. [**Scalable Gaussian Processes for Predicting the Properties of Inorganic Glasses with Large Datasets**](https://arxiv.org/abs/2007.02795) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/Scalable_Gaussian_Process))
3. [**Looking_through_glass**](https://www.sciencedirect.com/science/article/pii/S2666389921001239) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/Looking_through_glass))
4. [**Revealing the Compositional Control of Inorganic Glass Properties**](https://arxiv.org/abs/2103.12050) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/Revealing_the_Compositional_Control_of_Inorganic_Glass_Properties))
5. [**Extracting processing and testing parameters from materials science literature for improved property prediction of glasse**](https://www.sciencedirect.com/science/article/pii/S0255270121003020) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/Hardness_process_testing))
6. [**Unveiling the Glass Veil**](https://arxiv.org/abs/2103.03633) ([code](https://github.com/m3rg-repo/machine_learning_glass/tree/master/GlassVeil))

machine_learning_glass

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