:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Sanger, Morgan D., Geyin, Mertcan, Maurer, Brett W.
Formato:	Preprint
Publicado:	2025
Materias:	Computational Engineering, Finance, and Science
Acceso en línea:	https://arxiv.org/abs/2509.10962
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Geospatial AI for Liquefaction Hazard and Impact Forecasting: A Demonstrative Study in the U.S. Pacific Northwest
por: Sanger, Morgan D., et al.
Publicado: (2025)

Why "AI" Models for Predicting Soil Liquefaction have been Ignored, Plus Some that Shouldn't Be
por: Maurer, Brett W., et al.
Publicado: (2025)

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
por: Oddiraju, Manaswin, et al.
Publicado: (2024)

Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
por: Ishikawa, Keiichi, et al.
Publicado: (2025)

Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
por: Natterer, Elena, et al.
Publicado: (2025)

SeisGPT: A Physics-Informed Data-Driven Large Model for Real-Time Seismic Response Prediction
por: Meng, Shiqiao, et al.
Publicado: (2024)

Geospatial Soil Quality Analysis: A Roadmap for Integrated Systems
por: Abderrahmane, Habiba Ben, et al.
Publicado: (2025)

Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks
por: Bhatnagar, Saakaar
Publicado: (2023)

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

ABM-UDE: Developing Surrogates for Epidemic Agent-Based Models via Scientific Machine Learning
por: Murgai, Sharv, et al.
Publicado: (2026)

Reusable Surrogate Models for Distillation Columns
por: Bubel, Martin, et al.
Publicado: (2025)

Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
por: Pourkamali-Anaraki, Farhad, et al.
Publicado: (2024)

Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim
por: Abdelrehim, Anas, et al.
Publicado: (2025)

Machine Learning-Based Detection of Pump-and-Dump Schemes in Real-Time
por: Bolz, Manuel, et al.
Publicado: (2024)

Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam
por: Sahin, Tarik, et al.
Publicado: (2024)

Skeletal Reaction Models for Gasoline Surrogate Combustion
por: Liu, Yinmin, et al.
Publicado: (2025)

Gradient-Informed Machine Learning in Electromagnetics
por: Zorzetto, Matteo, et al.
Publicado: (2026)

Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
por: Khan, Shahroz, et al.
Publicado: (2024)

Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels
por: Islam, Md Azharul, et al.
Publicado: (2025)

Gaussian Process Surrogate Models for Efficient Estimation of Structural Response Distributions and Order Statistics
por: Flovik, Vegard, et al.
Publicado: (2025)

Koedds: A National Real Estate Investment Analysis
por: Kouma, Sean, et al.
Publicado: (2025)

Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information
por: Ning, Chunxiao, et al.
Publicado: (2025)

Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization
por: Lutheran, Aaron, et al.
Publicado: (2026)

Towards Real-Time Urban Physics Simulations with Digital Twins
por: Bonari, Jacopo, et al.
Publicado: (2024)

PINNsAgent: Automated PDE Surrogation with Large Language Models
por: Wuwu, Qingpo, et al.
Publicado: (2025)

Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization
por: Withöft, Julian, et al.
Publicado: (2026)

Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion
por: Safari, Hesameddin, et al.
Publicado: (2025)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
por: Kim, Minwu, et al.
Publicado: (2024)

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

Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning
por: Chen, Jungang, et al.
Publicado: (2024)

A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics
por: Ren, Alisa, et al.
Publicado: (2025)

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
por: Zhang, Jun, et al.
Publicado: (2025)

Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation
por: Ajayakumar, Abhishek, et al.
Publicado: (2023)

Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
por: Tang, Haoyu, et al.
Publicado: (2024)

Connectomics Informed by Large Language Models
por: Thompson, Elinor, et al.
Publicado: (2025)

Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling
por: Jin, Zeqing, et al.
Publicado: (2025)

Physics-Informed Machine Learning for Smart Additive Manufacturing
por: Sharma, Rahul, et al.
Publicado: (2024)

Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
por: Navidi, Sina, et al.
Publicado: (2024)

Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
por: Hahn, Robert, et al.
Publicado: (2025)

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
por: Fan, Tianyu, et al.
Publicado: (2025)