Sid Kumar

Piezoelectric truss metamaterials: data-driven design and additive manufacturing - npj Metamaterials npj Metamaterials - Piezoelectric truss metamaterials: data-driven design and additive manufacturing

Thrilled to share that our paper on piezoelectric truss metamaterials is finally out in npj Metamaterials. 🚀

The backstory: Anisotropy of natural piezoelectric ⚡️ materials is limited by their crystal symmetry. We break this limit — not with chemistry, but with geometry. 📐

doi.org/10.1038/s444...

Check 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...

AI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers This 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...

Interested 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!

Interested 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