Gallery – Computational Mechanics & Scientific Artificial Intelligence Lab (CoMSAIL)
发布时间:2026-09-29 | 浏览:1
Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation
CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
List of All Publications
Openings (2025 Fall)
Presentations & Tutorials
Research Data assimilation and Uncertainty Quantification Data-Augmented Physiological Modeling Data-Driven Turbulence Modeling Scientific Machine Learning Techniques Inverse Problems in Computational Physics Bayesian uncertainty quantification and reduction in turbulence model
Data assimilation and Uncertainty Quantification
Data-Augmented Physiological Modeling
Data-Driven Turbulence Modeling
Scientific Machine Learning Techniques
Inverse Problems in Computational Physics
Bayesian uncertainty quantification and reduction in turbulence model
Scholarship Opportunities
Scientific Machine Learning for Spatio-temporal Predictions
Software & Codes
Teaching & Outreach
2024 WCCM @ Vancouver, Canada
2023 APS DFD Meeting @ Washington DC
2023 Group Summer BBQ @ Madeline Bertrand County Park, IN
2023 Visit Argonne National Laboratory @ Lemont, IL
2022 APS DFD Meeting @ Indianapolis, IN
2022 GFZ Visit @Potsdam, Germany
2022 Summer Group Lunch @ Notre Dame, IN
2022 USACM UQ-MLIP Meeting @ Crystal City, VA
2022 SB3C Meeting @ Cambridge, MD
2021 APS DFD Meeting @ Phoenix, AZ
2021 Group Summer BBQ @ Granger, IN
2019 APS DFD Meeting @ Seattle, WA