3 papers
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…
cs.CE2023
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…
physics.comp-ph2023
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…