Copertina

Mechanics Simulation with Implicit Neural Representations of Complex Geometries

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Karki, Samundra, Hsu, Ming-Chen, Krishnamurthy, Adarsh, Ganapathysubramanian, Baskar
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neural Geometry for PDEs: Regularity, Stability, and Convergence Guarantees
di: Karki, Samundra, et al.
Pubblicazione: (2026)

GENIE: Gram-Eigenmode INR Editing with Closed-Form Geometry Updates
di: Karki, Samundra, et al.
Pubblicazione: (2026)

GRATEV2.0: Computational Tools for Real-time Analysis of High-throughput High-resolution TEM (HRTEM) Images of Conjugated Polymers
di: Gamdha, Dhruv, et al.
Pubblicazione: (2024)

Direct Flow Simulations with Implicit Neural Representation of Complex Geometry
di: Karki, Samundra, et al.
Pubblicazione: (2025)

From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems
di: Saadati, Mojdeh, et al.
Pubblicazione: (2026)

Implicit Neural Representation For Accurate CFD Flow Field Prediction
di: de Vito, Laurent, et al.
Pubblicazione: (2024)

The Power of Small LLMs in Geometry Generation for Physical Simulations
di: Shafiq, Ossama, et al.
Pubblicazione: (2025)

Efficient Counterfactual Estimation of Conditional Greeks via Malliavin-based Weak Derivatives
di: Krishnamurthy, Vikram, et al.
Pubblicazione: (2026)

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
di: Markidis, Stefano, et al.
Pubblicazione: (2025)

Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark
di: Zobeiry, Navid
Pubblicazione: (2026)

Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing
di: Harabin, George P., et al.
Pubblicazione: (2024)

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
di: Shi, Guangsi, et al.
Pubblicazione: (2023)

SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation
di: Li, Yuanzhe, et al.
Pubblicazione: (2024)

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
di: Lin, Zhongya, et al.
Pubblicazione: (2025)

Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake
di: Soto, Valeria, et al.
Pubblicazione: (2025)

Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
di: Zhou, Shuwei, et al.
Pubblicazione: (2026)

Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
di: Ganga, Sai, et al.
Pubblicazione: (2024)

Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling
di: Pantidis, Panos, et al.
Pubblicazione: (2025)

NITO: Neural Implicit Fields for Resolution-free Topology Optimization
di: Nobari, Amin Heyrani, et al.
Pubblicazione: (2024)

Accelerated Patient-Specific Hemodynamic Simulations with Hybrid Physics-Based Neural Surrogates
di: Rubio, Natalia L., et al.
Pubblicazione: (2026)

Implicit-Explicit Time Integration for the Immersed Wave Equation
di: Faßbender, Christian, et al.
Pubblicazione: (2023)

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU
di: He, Neil, et al.
Pubblicazione: (2024)

Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies
di: Alkhatib, Farah, et al.
Pubblicazione: (2024)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
di: Du, Jian, et al.
Pubblicazione: (2024)

A Data-Enhanced Agent-Based Model for Simulating 3D Cancer Spheroid Growth: Integrating Metabolism and Mechanics
di: Garcia-Gomez, Pedro, et al.
Pubblicazione: (2025)

MOTO: Topology Optimization for Large Deformations via an Implicit Material Point Method
di: Padhy, Rahul Kumar, et al.
Pubblicazione: (2026)

Implicit differentiation with second-order derivatives and benchmarks in finite-element-based differentiable physics
di: Xue, Tianju
Pubblicazione: (2025)

Neural Operator Representation of Granular Micromechanics-based Failure Envelope
di: Han, Jinkyo, et al.
Pubblicazione: (2026)

Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
di: Sanger, Morgan D., et al.
Pubblicazione: (2025)

Enforcing the Principle of Locality for Physical Simulations with Neural Operators
di: Chen, Jiangce, et al.
Pubblicazione: (2024)

An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics
di: Fu, Qirui, et al.
Pubblicazione: (2026)

CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors
di: Liu, Xuanyi, et al.
Pubblicazione: (2026)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
di: Gregnanin, Marco, et al.
Pubblicazione: (2026)

GA-Field: Geometry-Aware Vehicle Aerodynamic Field Prediction
di: Zheng, Zhenhua, et al.
Pubblicazione: (2026)

Neural Modular Physics for Elastic Simulation
di: Li, Yifei, et al.
Pubblicazione: (2025)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
di: Gregnanin, Marco, et al.
Pubblicazione: (2026)

Earthquake Simulation
di: Chawla, Palak
Pubblicazione: (2025)

Surrogate Modeling with Low-Rank Function Representation for Electromagnetic Simulation
di: Sun, Mingze, et al.
Pubblicazione: (2026)

Image-Based RKPM for Accessing Failure Mechanisms in Composite Materials
di: Wang, Yanran, et al.
Pubblicazione: (2024)

PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry
di: Yang, Kaiqiao, et al.
Pubblicazione: (2024)