activity
20142026
most citedInverse-design of nonlinear mechanical metamaterials via video denoising diffusion models

246 citations · 987 across the 26 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cond-mat.mtrl-sci2024

Stiff and Deformable Quasicrystalline Architected Materials

Matheus I. N. Rosa, Konstantinos Karapiperis, Kaoutar Radi +1

Architected materials achieve unique mechanical properties through precisely engineered microstructures that minimize material usage. However, a key challenge of low-density materi…

math.AP2024

On a -Structure in Geometrically Linearized Elasticity: Qualitative and Quantitative Analysis and Numerical Simulations

Roman Indergand, Dennis Kochmann, Angkana Rüland +2

We study the rigidity properties of the -structure for the symmetrized gradient from \cite{BFJK94} qualitatively, quantitatively and numerically. More precisely, we complement…

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…

cond-mat.mtrl-sci2024★ 9 cited

Atomistic-informed phase field modeling of magnesium twin growth by disconnections

Yang Hu, Dennis M. Kochmann, Brandon Runnels

The nucleation and propagation of disconnections play an essential role during twin growth. Atomistic methods can reveal such small structural features on twin facets and model the…

cs.CE2024

A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture

Kevin Kraschewski, Gregory P. Phlipot, Dennis M. Kochmann

Predicting the mechanics of large structural networks, such as beam-based architected materials, requires a multiscale computational strategy that preserves information about the d…

cs.LG2024

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis M. Kochmann

Generative models such as denoising diffusion models are quickly advancing their ability to approximate highly complex data distributions. They are also increasingly leveraged in s…

cond-mat.mtrl-sci2024★ 5 cited

Finite-temperature grain boundary properties from quasistatic atomistics

Miguel Spínola, Shashank Saxena, Prateek Gupta +2

Grain boundary (GB) properties greatly influence the mechanical, electrical, and thermal response of polycrystalline materials. Most computational studies of GB properties at finit…