Cover Image

Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Veerababu, D., Ghosh, Prasanta K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computational Engineering, Finance, and Science Computational Physics 34A06 G.1.6; I.6.4; J.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
by: Veerababu, D., et al.
Published: (2025)

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification
by: Veerababu, D., et al.
Published: (2025)

Neural network based approach for solving problems in plane wave duct acoustics
by: Veerababu, D., et al.
Published: (2024)

Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks
by: Veerababu, D., et al.
Published: (2025)

Model bias identification for Bayesian calibration of stochastic digital twins of bridges
by: Arcones, Daniel Andrés, et al.
Published: (2023)

Design for Sensing and Digitalisation (DSD): A Modern Approach to Engineering Design
by: Wilke, Daniel N.
Published: (2025)

CREATOR Case: PMSM and IM Electric Machine Data for Validation and Benchmarking of Simulation and Modeling Approaches
by: Mütze, Annette, et al.
Published: (2025)

From Metrics to Meaning: Time to Rethink Evaluation in Human-AI Collaborative Design
by: Walton, Sean P., et al.
Published: (2024)

Reclaiming First Principles: A Differentiable Framework for Conceptual Hydrologic Models
by: Vrugt, Jasper A., et al.
Published: (2026)

Integrating Artificial Intelligence and Mixed Integer Linear Programming: Explainable Graph-Based Instance Space Analysis in Air Transportation
by: Rosa, Artur Guerra, et al.
Published: (2025)

Generative AI-enhanced Sector-based Investment Portfolio Construction
by: Voronina, Alina, et al.
Published: (2025)

When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets
by: Dai, Zeshi, et al.
Published: (2025)

A semi-Lagrangian method for the direct numerical simulation of crystallization and precipitation at the pore scale
by: Perez, Sarah, et al.
Published: (2024)

An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation
by: Coelho, C., et al.
Published: (2024)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
by: Maczuga, Paweł, et al.
Published: (2023)

Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response
by: Duswald, Tobias, et al.
Published: (2023)

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization
by: Duswald, Tobias, et al.
Published: (2024)

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
by: Bešinović, Nikola, et al.
Published: (2024)

Modern Portfolio Theory in the Crypto-Wilderness
by: Vynyavskyy, Ivan, et al.
Published: (2026)

A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
by: Benoit, Alix, et al.
Published: (2026)

Wind Speed Weibull Model Identification in Oman, and Computed Normalized Annual Energy Production (NAEP) From Wind Turbines Based on Data From Weather Stations
by: Marzouk, Osama A.
Published: (2025)

Carbon-Aware Compute--Power Scheduling for AI Data Centers with Microgrid Prosumer Operations
by: Zhang, Johnny R., et al.
Published: (2026)

Magneto-thermally Coupled Field Simulation of Homogenized Foil Winding Models
by: Weinert, Silas, et al.
Published: (2025)

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction
by: Chudziak, Jarosław A., et al.
Published: (2025)

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
by: Wawer, Michał, et al.
Published: (2025)

GEPOC Parameters -- Open Source Parametrisation and Validation for Austria, Version 2.0
by: Bicher, Martin, et al.
Published: (2025)

Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
by: Rubio, Natalia L., et al.
Published: (2024)

EnKF-C user guide
by: Sakov, Pavel
Published: (2014)

Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems
by: Nielsen, Joshua, et al.
Published: (2024)

Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)

A Copula-based variational autoencoder for uncertainty quantification in inverse problems: application to damage identification in an offshore wind turbine
by: Fernandez-Navamuel, Ana, et al.
Published: (2025)

FLOAT: Fatigue-Aware Design Optimization of Floating Offshore Wind Turbine Towers
by: Ribeiro, João Alves, et al.
Published: (2026)

EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution
by: Chang, Yu-Tang, et al.
Published: (2025)

Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating
by: Marzouk, Osama A.
Published: (2024)

Fourier Neural Operators for Two-Phase, 2D Mold-Filling Problems Related to Metal Casting
by: Minete, Edgard Moreira, et al.
Published: (2025)

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
by: Hegre, Håvard, et al.
Published: (2024)

Urban Planning in 3D with a Two-tier LUTI model
by: Roumpani, Flora, et al.
Published: (2025)

A Flight-Mechanics Solver for Aircraft Inverse Simulations and Application to 3D Mirage-III Maneuver
by: Marzouk, Osama A.
Published: (2024)

A New DAPO Algorithm for Stock Trading
by: Zha, Ruijian, et al.
Published: (2025)

Robust and Reliable AI for Predictive Quality in Semiconductor Materials Manufacturing with MLOps and Uncertainty Quantification
by: Gao, Min, et al.
Published: (2026)