Results 31 to 40 of about 490 (86)
Multiphysics Simulation Methods in Computer Graphics
Computer Graphics Forum, Volume 44, Issue 2, May 2025.Abstract Physics simulation is a cornerstone of many computer graphics applications, ranging from video games and virtual reality to visual effects and computational design. The number of techniques for physically‐based modeling and animation has thus skyrocketed over the past few decades, facilitating the simulation of a wide variety of materials and ...
Daniel Holz +5 more
wiley +1 more source
Risk analysis of distribution network outages under a typhoon–rainstorm–flood disaster chain
Energy Conversion and Economics, Volume 6, Issue 2, Page 126-139, April 2025.Abstract The typhoon–rainstorm–flood disaster chain poses a significant flooding risk to urban distribution network (DN) equipment, often leading to power system outages. The increasing frequency and severity of this disaster chain in East Asia, driven by global warming, population growth, and land‐use changes, highlight the need for improved disaster ...
Hui Hou +6 more
wiley +1 more source
Mapping 3D Overthrust Structures by a Hybrid Modeling Method
Earth and Space Science, Volume 12, Issue 1, January 2025.Abstract A rational three‐dimensional (3D) geological model with complex characteristics generated on a small amount of data is a crucial data infrastructure for scientific research and many applications. However, reconstructing structures with multi‐Z values on a single point caused by folding or overthrusting is still one of the bottlenecks in 3D ...
Weisheng Hou +4 more
wiley +1 more source
SOLID-SHELL FINITE ELEMENT MODELS FOR EXPLICIT SIMULATIONS OF CRACK PROPAGATION IN THIN STRUCTURES [PDF]
, 2012 Crack propagation in thin shell structures due to cutting is conveniently simulated using explicit finite element approaches, in view of the high nonlinearity of the problem.
Cocchetti, Giuseppe +2 more
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Advances in Civil Engineering, Volume 2025, Issue 1, 2025.Scientists aim to accurately simulate and characterize complex natural phenomena, thus revealing the underlying natural laws or physical mechanisms governing these phenomena. Conventional physical experiments require significant time and cost, and numerical methods offer an alternative solution. However, modeling complex phenomena such as fluid flow in
Xiaoyu Qi +4 more
wiley +1 more source
International Journal for Numerical Methods in Engineering, Volume 125, Issue 24, 30 December 2024.Abstract Snow, characterized as a unique granular and low‐density material, exhibits intricate behavior influenced by the proximity to its melting point and its three‐phase composition. This composition entails a structured ice skeleton surrounded by voids filled with air and spread with liquid water.
Ahmad Moeineddin +2 more
wiley +1 more source
Reconstruction of implicit surfaces from fluid particles using convolutional neural networks
Computer Graphics Forum, Volume 43, Issue 8, December 2024.Abstract In this paper, we present a novel network‐based approach for reconstructing signed distance functions from fluid particles. The method uses a weighting kernel to transfer particles to a regular grid, which forms the input to a convolutional neural network.
C. Zhao, T. Shinar, C. Schroeder
wiley +1 more source
Small Science, Volume 4, Issue 5, May 2024.This research reviews state‐of‐the‐art and latest advances in multiscale modeling methods spanning molecular, micro‐, meso, and macroscale models for hard and soft composites. These models range from molecular dynamics simulations, finite‐element analyses to machine learning/deep learning surrogate models simulating nonlinear constitutive material ...
Mohit Agarwal +4 more
wiley +1 more source
Modeling cracks in viscoelastic materials at finite strains
International Journal for Numerical Methods in Engineering, Volume 125, Issue 5, 15 March 2024.Abstract Viscosity is a manifestation of internal friction in materials. Such friction is accompanied by the dissipation of energy, which affects deformation and fracture. In the present work, we develop a new theoretical formulation and its numerical implementation for modeling fracture in viscoelastic soft materials.
Suhib Abu‐Qbeitah +2 more
wiley +1 more source
Proximal Mean Field Learning in Shallow Neural Networks
, 2023 We propose a custom learning algorithm for shallow over-parameterized neural networks, i.e., networks with single hidden layer having infinite width. The infinite width of the hidden layer serves as an abstraction for the over-parameterization.
Halder, Abhishek +2 more
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