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20192026
most citedExplainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

5 citations · 13 across the 8 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 2 cited

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions

Evan R. Antoniuk, Peggy Li, Bhavya Kailkhura +1

One of the grand challenges of utilizing machine learning for the discovery of innovative new polymers lies in the difficulty of accurately representing the complex structures of p…