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20122023
most citedA General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials

1.8k citations · 2.6k across the 21 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cond-mat.mtrl-sci2018★ 20 cited

Ternary mixed-anion semiconductors with tunable band gaps from machine-learning and crystal structure prediction

Maximilian Amsler, Logan Ward, Vinay I. Hegde +3

We report the computational investigation of a series of ternary XYZ and XYZ compounds with X={Mg, Ca, Sr, Ba}, Y={P, As, Sb, Bi}, and Z={S, Se, Te}. The compos…

cs.LG2018

DLHub: Model and Data Serving for Science

Ryan Chard, Zhuozhao Li, Kyle Chard +7

While the Machine Learning (ML) landscape is evolving rapidly, there has been a relative lag in the development of the "learning systems" needed to enable broad adoption. Furthermo…