246 citations · 356 across the 2 of their papers we have counts for
4 papers
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…
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…