Sid Kumar @sid-kumar.bsky.social · 07/01/2025Check out our paper on designing spinodal metamaterials by directly using a small set of experimental data! We introduce physics-enhanced ML strategies to compensate for the small amount of data and simulation-experiment gap.👇 doi.org/10.1016/j.em... 031
Sid Kumar @sid-kumar.bsky.social · 17/12/2024Interested in designing recyclable polymers with human-in-the-loop ML — from computational predictions all the way to lab synthesis? Check out our latest paper 👇 doi.org/10.1002/advs... Great collaboration with Aniruddh Vashisth and group @ University of Washington!doi.orgAI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric PolymersThis study presents a molecular dynamics (MD) - machine learning (ML) framework for inverse design of vitrimers with targeted glass transition temperature (Tg). A variational autoencoder model with d... 011
Sid Kumar @sid-kumar.bsky.social · 25/11/2024Interested in designing curvature-based morphologies for bio-mimetic applications? Or bridging curvature and mechanics for stronger metamaterials? Check out our recent paper👇 Link: doi.org/10.1002/aisy... Great work by Yaqi Guo and @saurav-sharma.bsky.social 010