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The Hip Laboratory
Kedar Hippalgaonkar's Materials by Design Lab
AI in Materials Science
Accelerated automated screening of viscous graphene suspensions for optimal electrical conductivity
January 2022: Digital Discovery https://pubs.rsc.org/en/content/articlehtml/2022/dd/d1dd00008j Functional composite thin films have a...
AI in Materials Science
Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites
June 2021: Advanced Functional Materials https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202102606 Combining high-throughput...
AI in Materials Science
An Object-Oriented Framework to Enable Workflow Evolution across MAPs
October 2022: Matter https://doi.org/10.1016/j.matt.2022.08.017 Materials Acceleration Platforms (MAPs) autonomously perform AI-guided,...
AI in Materials Science
Data driven and physics inspired models for hopping transport in organic field effect transistors
December 2021: Scientific Reports https://www.nature.com/articles/s41598-021-02737-7 Despite the surfeit in the amount of research...
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