10 papers
Global DIC-based sample-detector geometry refinement for accurate EBSD indexing
Claire Griesbach, Dennis M. Kochmann
Electron backscatter diffraction is a powerful tool for mapping crystallographic microstructures. However, the primary crux to improving orientation accuracy and applying the techn…
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…
Microscale architected materials for elastic wave guiding: Fabrication and dynamic characterization across length and time scales
Vignesh Kannan, Charles Dorn, Ute Drechsler +1
We present an experimental protocol for the fabrication and characterization of scalable microarchitected elastic waveguides. Using silicon microfabrication techniques, we develop…
Additive Manufacturing-Facilitated Blow Molding for Functional Thin-Walled Polymeric Structures
Junyu Chen, Dotan Ilssar, Dennis M. Kochmann
Thin-walled structures capable of large, reversible deformation are key to multistable structures, origami, kirigami, and soft robotics. However, conventional fabrication technique…
Ferroelectric polarization mapping through pseudosymmetry-sensitive EBSD reindexing
Claire Griesbach, Tizian Scharsach, Morgan Trassin +1
Ferroelectric materials exhibit a switchable, spontaneous polarization at the unit cell level--an attractive property utilized in many emerging technologies including, among others…
Deep learning-aided inverse design of porous metamaterials
Phu Thien Nguyen, Yousef Heider, Dennis M. Kochmann +1
The ultimate aim of the study is to explore the inverse design of porous metamaterials using a deep learning-based generative framework. Specifically, we develop a property-variati…