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20172026
most citedCrystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

2.9k citations · 3.8k across the 15 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cond-mat.mtrl-sci2018★ 70 cited

Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks

Tian Xie, Jeffrey C. Grossman

The combination of high throughput computation and machine learning has led to a new paradigm in materials design by allowing for the direct screening of vast portions of structura…

cond-mat.mtrl-sci2018★ 279 cited

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode

Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari +2

Next generation batteries based on lithium (Li) metal anodes have been plagued by the dendritic electrodeposition of Li metal on the anode during cycling, resulting in short circui…