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Coarse-Grained Configurational Polymer Fingerprints for Property Prediction using Machine Learning
In this work, we present a method to generate a configurational level fingerprint for polymers using the Bead-Spring-Model.
CausalCite: A Causal Formulation of Paper Citations
Thus, we propose CausalCite, a new way to measure the significance of a paper by assessing the causal impact of the paper on its follow-up papers.
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