162 citations · 341 across the 3 of their papers we have counts for
3 papers
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity
Ayush Jain, Rishi Gurnani, Arunkumar Rajan +2
Achieving superior polymeric components through additive manufacturing (AM) relies on precise control of rheology. One key rheological property particularly relevant to AM is melt…
A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing
Pranav Shetty, Arunkumar Chitteth Rajan, Christopher Kuenneth +5
The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from published literature. We used natural language processin…
Polymer Informatics with Multi-Task Learning
Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran +3
Modern data-driven tools are transforming application-specific polymer development cycles. Surrogate models that can be trained to predict the properties of new polymers are becomi…