most citedInorganic Materials Synthesis Planning with Literature-Trained Neural Networks

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2019★ 10 cited

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Edward Kim, Zach Jensen, Alexander van Grootel +8

Leveraging new data sources is a key step in accelerating the pace of materials design and discovery. To complement the strides in synthesis planning driven by historical, experime…