We build a Transformer-based molecule encoder and property predictor network with novel input featurization that performs significantly better than existing methods.
We introduce Deep Adaptive Semantic Logic (DASL), a novel framework for automating the generation of deep neural networks that incorporates user-provided formal knowledge to improve learning from data.
Application of Text Analytics to Extract and Analyze Material–Application Pairs from a Large Scientific Corpus
In this work, we have successfully extracted material–application pairs and ranked them on their importance. This method provides a novel way to map scientific advances in a particular material to the application for which it is used.
In order to help generate new research hypotheses, this study explored spatial and temporal patterns of preterm birth in a large, total-population dataset.