![]() Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef SG Nashed, and Tom Peterka: InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations, IEEE Transactions on Visualization and Computer Graphics 26 (1), 23-33 (2020), Wurster, Hanqi Guo, Jonathan Woodring, Luke Van Roekel, and Han-Wei Shen: GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations, IEEE Transactions on Visualization and Computer Graphics (Proc. Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, and Han-Wei Shen: VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations, IEEE Transactions on Visualization and Computer Graphics (Proc. Data-based surrogates offer greater flexibility in terms of 3D interactions and post-processing operations, such as isosurfacing and feature extraction. Image-based surrogates are often trained with predefined visual parameters, such as view angles and visual mappings, and typically require relatively low training costs. Image-based surrogates directly predict 2D visualization images, while data-based surrogates synthesize 3D visual data, such as volumetric data. Our research group, the GRAVITY lab, is actively investigating two distinct categories of deep learning models for this purpose: image-based and data-based surrogate models. Through the application of deep learning techniques, the exploration of parameter space can be framed as either a generative or regression problem. Recent advancements in deep learning methods offer a new and innovative approach to parameter space exploration in scientific applications. Running many simulations is expensive, however, because both computational time and storage for the output can be prohibitively large. These simulations are designed to determine the parameters that generate results that are consistent with empirical observations. In the scientific community, the simulation of phenomena with a broad range of potential outcomes is a common practice. Send us feedback.Visualization Surrogates for Ensemble Simulations These example sentences are selected automatically from various online news sources to reflect current usage of the word 'gravity.' Views expressed in the examples do not represent the opinion of Merriam-Webster or its editors. Corinne Purtillstaff Writer, Los Angeles Times, 20 Dec. 2023 It’s had balloons tied on to mimic its weight in Martian gravity, and motion capture dots stuck to its frame to precisely measure its movements. 2023 Rather than viewing inflation as a neutral, impersonal force like gravity, economists are starting to see it as a battle between different actors in the economy. 2023 But with Kentucky losing for a fifth time and not a single Quad 1 win to their name, this 13-2 Crimson Tide program is taking further steps in moving the center of SEC hoops gravity outside of Lexington. ![]() 2023 The first physics concept that applies to orbital motion is, of course, gravity. 2023 Eileen, initially coaxed into the limelight by Rebecca’s flattering attention, comes into her own, and soon will start to replace even the dazzling object of her fixation - love is not quite the right word - as the center of the film’s gravity. 2023 Thankfully, the moon also has tons of dust and only 17 percent of Earth’s gravity-and that’s where scenario two comes in. Sarkis, a work that exhibits a rare combination of formal and intellectual gravity. Eva Botkin-kowacki, Popular Science, 21 Feb. ![]() Recent Examples on the Web Then, in space, the force of gravity from Earth, Mars, and the sun pulls the spacecraft in different directions.
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