Surrogate Modeling of Subgrid Turbulent Transport in Application to StellarBox Simulations
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Surrogate Modeling of Subgrid Turbulent Transport Based on 3D Radiative Hydrodynamic Simulations of the Quiet Sun
Turbulent Transport: Plays a critical role in astrophysical plasmas, such as the solar interior, spanning multiple scales and challenging traditional modeling approaches. Objective: Develop machine learning (ML) models—MLP and CNN—to predict subgrid Reynolds stress tensors from StellarBox 3D simulations of the solar atmosphere. Benchmarking: Compare ML-driven models against physics-based Gradient and Smagorinsky approaches.
SMD↗
Atmospheric Chemistry Surrogate Modeling With Sparse Identification of Nonlinear Dynamics
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Xiaokai Yang↗
Surrogate Modeling of Thermal and Irradiation Creep in Steels
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Tallman, Aaron Ellis↗
Evaluation of Time-step Frequency on Prediction Accuracy Applied to Deep Learning Neural Network Surrogate Models for CO2 Storage
This PowerPoint presentation was presented virtually at the American Geophysical Union (AGU) Fall Meeting 2020.
Vikara, Derek↗
Quantifying the effect of multiple demand response actions on electricity demand and building services via surrogate modeling
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Luo, Na↗
Accelerating phase-field based predictions via surrogate models trained by machine learning methods.
Abstract not provided.
Dingreville, Remi Philippe Michel↗
Accelerating phase-field based predictions via surrogate models trained by machine learning methods.
Abstract not provided.
Dingreville, Remi Philippe Michel↗
Accelerating phase-field based predictions: A case study with surrogate models trained using machine learning methods.
Abstract not provided.
Dingreville, Remi Philippe Michel↗
Surrogate Modeling of Criticality Experiments with Mixed Qualitative and Quantitative Factors
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Nuclear science and engineering, Energy, Mathemati↗
APPLICATION OF DEEP LEARNING NETWORKS TO SURROGATE MODELLING OF CRUD DEPOSITION
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Andersen, Brian↗
Nonlinear Regression for Accurate and Efficient Surrogate Models of Materials.
Abstract not provided.
Logarzo, Hernan↗
GP and PCE surrogate models for estimation of sensitivity indices.
Abstract not provided.
Swiler, Laura Painton↗
Subgrid-scale surrogate modeling of idealized atmospheric flows: A deep learned approach using high-resolution simulation data
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Gopalakrishnan Meena, Murali↗
Generalization of ML-Based Surrogate Models to Dynamic Injection Schedules using Transfer Learning
For presentation at the FECM/ NETL Carbon Management Project Review Meeting, Pittsburgh, PA, August 28-September 1, 2023.
Riedl, Michael↗
Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations.
Abstract not provided.
Maupin, Kathryn↗
6DOF CFD Surrogate Models Compared to Axisymmetric Missile Concept From Mach 0.60 to 3.95.
Abstract not provided.
Dreyer, Emily↗