246 citations · 987 across the 26 of their papers we have counts for
31 papers
An electromechanically coupled multiphase-field model with generalized kinetic relations for ferroelectrics
Hsu-Cheng Cheng, Dennis M. Kochmann
Classical phase-field models typically use the Allen--Cahn evolution law to model interface motion as a consequence of energy-gradient descent. This implies a linear kinetic relati…
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…
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…
Predicting temperature-dependent failure and transformation zones in 2D silica glass through quasistatic Gaussian Phase Packets
Miguel Spínola, Shashank Saxena, Franz Bamer +1
The athermal quasistatic (AQS) method is a powerful technique to study the mechanical behavior of disordered systems. However, its applicability is limited to temperatures near zer…
Graded phononic metamaterials: Scalable design meets scalable microfabrication
Charles Dorn, Vignesh Kannan, Ute Drechsler +1
Metamaterials are a new generation of advanced materials, exhibiting engineered microstructures that enable customized material properties not found in nature. The dynamics of meta…
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…
Long-term atomistic finite-temperature substitutional diffusion
Shashank Saxena, Prateek Gupta, Dennis M. Kochmann
Simulating long-term mass diffusion kinetics with atomic precision is important to predict chemical and mechanical properties of alloys over time scales of engineering interest in…
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…
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…
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…
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…
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…
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…
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…
Conformally Graded Metamaterials for Elastic Wave Guidance
Charles Dorn, Dennis M. Kochmann
Although metamaterials have been widely used for controlling elastic waves through bandgap engineering, the directed guidance of stress waves in non-periodic structures has remaine…
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
Li Zheng, Konstantinos Karapiperis, Siddhant Kumar +1
The rise of machine learning has fueled the discovery of new materials and, especially, metamaterials--truss lattices being their most prominent class. While their tailorable prope…
Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models
Jan-Hendrik Bastek, Dennis M. Kochmann
The accelerated inverse design of complex material properties - such as identifying a material with a given stress-strain response over a nonlinear deformation path - holds great p…
GNN-Assisted Phase Space Integration with Application to Atomistics
Shashank Saxena, Jan-Hendrik Bastek, Miguel Spinola +2
Overcoming the time scale limitations of atomistics can be achieved by switching from the state-space representation of Molecular Dynamics (MD) to a statistical-mechanics-based rep…
Physics-Informed Neural Networks for Shell Structures
Jan-Hendrik Bastek, Dennis M. Kochmann
The numerical modeling of thin shell structures is a challenge, which has been met by a variety of finite element (FE) and other formulations -- many of which give rise to new chal…
Topology Optimization of Graded Truss Lattices Based on On-the-Fly Homogenization
Bastian Telgen, Ole Sigmund, Dennis M. Kochmann
We introduce a computational framework for the topology optimization of cellular structures with spatially varying architecture, which is applied to functionally graded truss latti…
Finite-temperature surface elasticity of crystalline solids
Shashank Saxena, Miguel Spinola, Prateek Gupta +1
Surface energies and surface elasticity largely affect the mechanical response of nanostructures as well as the physical phenomenon associated with surfaces such as evaporation and…