Sid Kumar
banner
sid-kumar.bsky.social
Sid Kumar
@sid-kumar.bsky.social
Doing professor things @ TU Delft | mechanics, materials, machine learning & in-betweens | previously at ETHZ and Caltech

Lab: https://www.mech-mat.com/
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...
Starting 2025 w/ a collaborative effort w/ @sid-kumar.bsky.social & team using experimental data sets, physics-enhanced ML, and computational models to predict, understand, and inversely design spinodal metamaterials for large deformation and energy absorption. doi.org/10.1016/j.em...
January 7, 2025 at 7:07 AM
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!
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...
doi.org
December 17, 2024 at 11:34 PM
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
November 25, 2024 at 9:32 PM