118 citations · 164 across the 4 of their papers we have counts for
4 papers
Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions
Huan Tran, Chiho Kim, Rishi Gurnani +8
Polymer composite performance depends significantly on the polymer matrix, additives, processing conditions, and measurement setups. Traditional physics-based optimization methods…
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…
Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani +3
Machine learning (ML) models for predicting gas permeability through polymers have traditionally relied on experimental data. While these models exhibit robustness within familiar…
Polymer informatics at-scale with multitask graph neural networks
Rishi Gurnani, Christopher Kuenneth, Aubrey Toland +1
Artificial intelligence-based methods are becoming increasingly effective at screening libraries of polymers down to a selection that is manageable for experimental inquiry. The va…