21 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CE2025★ 5 cited
Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
Li Zheng, Siddhant Kumar, Dennis M. Kochmann
Generative machine learning models have revolutionized material discovery by capturing complex structure-property relationships, yet extending these approaches to the inverse desig…
cs.CE2024★ 19 cited
HyperCAN: Hypernetwork-Driven Deep Parameterized Constitutive Models for Metamaterials
Li Zheng, Dennis M. Kochmann, Siddhant Kumar
We introduce HyperCAN, a machine learning framework that utilizes hypernetworks to construct adaptable constitutive artificial neural networks for a wide range of beam-based metama…
cs.CE2023★ 21 cited
Inverse designing surface curvatures by deep learning
Yaqi Guo, Saurav Sharma, Siddhant Kumar
Smooth and curved microstructural topologies found in nature - from soap films to trabecular bone - have inspired several mimetic design spaces for architected metamaterials and bi…