Polymer-Informatics

TL;DR for operators A materials team choosing a surrogate model for polymer screening should not treat molecular representation as a preprocessing detail. PolyBench261 compares language-model, graph-based, and descriptor-based approaches across 249,962 polymer-property datapoints, eight properties, four polymer architectures, and four evaluation tasks. Graph-based Polymer Chemprop (PC) and Polymer Periodic Graph (PPG) generally achieve the lowest errors on the evaluated in-distribution tasks. ...

TL;DR for operators A technical assistant searching thousands of papers has two competing needs: preserve enough surrounding text to understand experimental context, and connect facts that are distributed across papers. A single retrieval score can make that choice look simpler than it is. In Gupta et al.’s Polymer Literature Scholar study,1 graph-based retrieval achieved full-corpus recall of 0.903–0.938, versus 0.717 for dense text retrieval. Yet answer accuracy remained close: 0.964–0.973 for GraphRAG and 0.960 for VectorRAG. The retriever that was substantially better at recovering designated evidence was only modestly better at producing correct answers. ...