Copertina

Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Abdelrehim, Anas, Gandhi, Dhairya, Yalburgi, Sharan, Bharambe, Ashutosh, Anantharaman, Ranjan, Rackauckas, Chris
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

Scientific Machine Learning-assisted Model Discovery from Telemetry Data
di: Micluta-Campeanu, Sebastian, et al.
Pubblicazione: (2026)

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

Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
di: Kim, Seongmin, et al.
Pubblicazione: (2025)

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

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

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

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

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
di: Salavatidezfouli, Sajad, et al.
Pubblicazione: (2024)

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

Development and Real-World Application of Commercial Motor Vehicle Safety Enforcement Dashboards
di: Parekh, Dhairya, et al.
Pubblicazione: (2025)

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

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

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

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

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)

Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data
di: PhD, Mark Franz, et al.
Pubblicazione: (2024)

Surrogate impact modelling for crop yield assessment
di: Vlachopoulos, Odysseas, et al.
Pubblicazione: (2026)

DevServOps: DevOps For Product-Oriented Product-Service Systems
di: Dakkak, Anas, et al.
Pubblicazione: (2023)

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

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

Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
di: Baars, Susanna, et al.
Pubblicazione: (2024)

GeoSim.AI: AI assistants for numerical simulations in geomechanics
di: Bekele, Yared W.
Pubblicazione: (2025)

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

Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
di: Santos, Ezequiel S., et al.
Pubblicazione: (2025)

An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
di: Chiappetta, Mihaela, et al.
Pubblicazione: (2026)

SimICD: A Closed-Loop Simulation Framework For ICD Therapy
di: Lydon, Hannah, et al.
Pubblicazione: (2025)

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine
di: Zhang, Jiaxun, et al.
Pubblicazione: (2025)

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

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

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

Active Digital Twins via Active Inference
di: Torzoni, Matteo, et al.
Pubblicazione: (2025)

Generative Multimodal Multiscale Data Fusion for Digital Twins in Aerosol Jet Electronics Printing
di: Elhambakhsh, Fatemeh, et al.
Pubblicazione: (2025)

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

Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations
di: Guo, Jiachen, et al.
Pubblicazione: (2025)

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
di: Yagoubi, Mouadh, et al.
Pubblicazione: (2024)

Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace
di: Pepper, Nick, et al.
Pubblicazione: (2026)

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design
di: Zheng, Lecheng, et al.
Pubblicazione: (2025)

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

A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
di: Singh, Pratyush Kumar, et al.
Pubblicazione: (2024)

Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performance
di: Shaikh, Shadab Anwar, et al.
Pubblicazione: (2024)