Lasdi: Parametric latent space dynamics identification
Enabling fast and accurate physical simulations with data has become an important area of
computational physics to aid in inverse problems, design-optimization, uncertainty …
computational physics to aid in inverse problems, design-optimization, uncertainty …
A fast and accurate domain decomposition nonlinear manifold reduced order model
This paper integrates nonlinear-manifold reduced order models (NM-ROMs) with domain
decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear …
decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear …
Gplasdi: Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
Numerically solving partial differential equations (PDEs) can be challenging and
computationally expensive. This has led to the development of reduced-order models …
computationally expensive. This has led to the development of reduced-order models …
gLaSDI: Parametric physics-informed greedy latent space dynamics identification
A parametric adaptive physics-informed greedy Latent Space Dynamics Identification
(gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order …
(gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order …
S-OPT: A points selection algorithm for hyper-reduction in reduced order models
While projection-based reduced order models can reduce the dimension of full order
solutions, the resulting reduced models may still contain terms that scale with the full order …
solutions, the resulting reduced models may still contain terms that scale with the full order …
[HTML][HTML] Advanced data analysis in inertial confinement fusion and high energy density physics
Bayesian analysis enables flexible and rigorous definition of statistical model assumptions
with well-characterized propagation of uncertainties and resulting inferences for single-shot …
with well-characterized propagation of uncertainties and resulting inferences for single-shot …
The influences of acceleration on compressible Rayleigh–Taylor instability with non-equilibrium effects
Rayleigh–Taylor (RT) instability is a classical interface instability of great importance in
nature and engineering fields. In this paper, the influences of acceleration on the …
nature and engineering fields. In this paper, the influences of acceleration on the …
Advanced research directions on AI for science, energy, and security: Report on summer 2022 workshops
J Carter, J Feddema, D Kothe, R Neely, J Pruet… - 2023 - osti.gov
Over the past decade, fundamental changes in artificial intelligence (AI)—from foundational
to applied—have delivered dramatic insights across a wide breadth of US Department of …
to applied—have delivered dramatic insights across a wide breadth of US Department of …
[HTML][HTML] Weak-form latent space dynamics identification
Recent work in data-driven modeling has demonstrated that a weak formulation of model
equations enhances the noise robustness of a wide range of computational methods. In this …
equations enhances the noise robustness of a wide range of computational methods. In this …
Data-scarce surrogate modeling of shock-induced pore collapse process
Understanding the mechanisms of shock-induced pore collapse is of great interest in
various disciplines in sciences and engineering, including materials science, biological …
various disciplines in sciences and engineering, including materials science, biological …