Kevin Huang

Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

Edward Kim, Kevin Huang, Adam M. Saunders et al. · Chemistry of Materials · 2017 · 464 citations · Full text

Engineering, Machine Learning, Materials Genome Initiative +26

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Wenxuan Zhou, Kevin Huang, Tengyu Ma et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 275 citations · Full text

Structured Prediction, Engineering, Adaptive Thresholding +18

Virtual screening of inorganic materials synthesis parameters with deep learning

Edward Kim, Kevin Huang, Stefanie Jegelka et al. · npj Computational Materials · 2017 · 194 citations · Full text

Machine-learned and codified synthesis parameters of oxide materials

Edward Kim, Kevin Huang, Alex Tomala et al. · Scientific Data · 2017 · 171 citations · Full text

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Edward Kim, Zach Jensen, Alexander van Grootel et al. · Journal of Chemical Information and Modeling · 2020 · 142 citations

Artificial Intelligence, Structured Prediction, Engineering +21