MS154B The Next AI Frontier: Physics-Informed Models, LLMs, and HPC II
Main Organizer:
Dr.
M. Giselle Fernández-Godino
(
Lawrence Livermore National Laboratory
, United States
)
Chaired by:
Dr. Jonathan Belof (Lawrence Livermore National Laboratory , United States) , Prof. Christian Gogu (ISAE-SUPAERO, ICA , France)
Dr. Jonathan Belof (Lawrence Livermore National Laboratory , United States) , Prof. Christian Gogu (ISAE-SUPAERO, ICA , France)
Scheduled presentations:
-
Rotational Data Augmentation for DeepSDF-based 3D Generative AI for Industrial Structures
-
Towards Uncertainty Quantification of Diecast Structures using Eulerian Structural Simulation and DeepSDF-based 3D Generative AI
-
Enhancing 3D Spatial Understanding in Large Language Models: An Approach Using DeepSDF for Mechanical Inference
-
Physics-Informed Sinusoidal Networks for Ultrasonic Lamb Wave Reconstruction from Sparse Data
-
Design Parameter-Controlled Generation of Thin-Walled Structures Using Latent Diffusion Models
-
Hybrid Training of Physics-Informed Neural Networks: Integrating Physics-Informed Sampling and Adaptive Loss Balancing for Linear Elasticity
