@misc{8636b85963504b8ebf69d3aa0750cbbf,
title = "Generative AI for Wind-Wave Inflows",
abstract = "Extreme wind-wave conditions can create dangerous or damaging environmental conditions for sea-based structures and watercrafts. However, the model of consistent, coupled wind-wave flow conditions is computational expensive, even for simple flow scenarios. This work examines the use of diffusion-based generative artificial intelligence tools to accelerate the generation of these two-phase flows and to characterize probabilities of various states to help with the generation of extreme patterns.",
keywords = "extreme patterns, generative modeling, wind-wave flow",
author = "Alex Cortiella and Alex Rybchuk and Omar Sallam and Andrew Glaws and Ryan King",
year = "2025",
language = "American English",
series = "Presented at the SIAM Conference on Computational Science and Engineering (CSE25), 3-7 March 2025, Fort Worth, Texas",
type = "Other",
}