A collaborative digital twin built on FAIR data and compute infrastructure
Fuente:
arXiv
Saved in:
| Main Authors: | Deucher, Thomas M., Verduzco, Juan C., Titus, Michael, Strachan, Alejandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
by: Xie, Jiarui, et al.
Published: (2024)
by: Xie, Jiarui, et al.
Published: (2024)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding
by: Mishra, Akshansh
Published: (2025)
by: Mishra, Akshansh
Published: (2025)
Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
by: Mishra, Akshansh
Published: (2026)
by: Mishra, Akshansh
Published: (2026)
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
by: Peivaste, Iman, et al.
Published: (2025)
by: Peivaste, Iman, et al.
Published: (2025)
End-to-End Probabilistic Framework for Learning with Hard Constraints
by: Utkarsh, Utkarsh, et al.
Published: (2025)
by: Utkarsh, Utkarsh, et al.
Published: (2025)
Aeroengine performance prediction using a physical-embedded data-driven method
by: Mo, Tong, et al.
Published: (2024)
by: Mo, Tong, et al.
Published: (2024)
Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
by: Mishra, Akshansh
Published: (2024)
by: Mishra, Akshansh
Published: (2024)
Predicting Stock Movement with BERTweet and Transformers
by: Albada, Michael Charles, et al.
Published: (2025)
by: Albada, Michael Charles, et al.
Published: (2025)
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data
by: Correia, Lucas, et al.
Published: (2024)
by: Correia, Lucas, et al.
Published: (2024)
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
by: Gijón, Alfonso, et al.
Published: (2025)
by: Gijón, Alfonso, et al.
Published: (2025)
Accelerating scientific discovery with the common task framework
by: Kutz, J. Nathan, et al.
Published: (2025)
by: Kutz, J. Nathan, et al.
Published: (2025)
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
by: Russell-Gilbert, Alicia, et al.
Published: (2024)
by: Russell-Gilbert, Alicia, et al.
Published: (2024)
Topic Modeling and Link-Prediction for Material Property Discovery
by: Barron, Ryan C., et al.
Published: (2025)
by: Barron, Ryan C., et al.
Published: (2025)
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
by: Wornow, Michael, et al.
Published: (2024)
by: Wornow, Michael, et al.
Published: (2024)
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
by: McCabe, Michael, et al.
Published: (2025)
by: McCabe, Michael, et al.
Published: (2025)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)
by: Wisniewski, Wojciech, et al.
Published: (2024)
CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)
by: Cao, Yupeng, et al.
Published: (2024)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)
by: Li, Yuante, et al.
Published: (2025)
ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)
by: Zeng, Liang, et al.
Published: (2021)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)
by: Zhu, Haoren, et al.
Published: (2024)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
by: Celikkanat, Abdulkadir, et al.
Published: (2024)
by: Celikkanat, Abdulkadir, et al.
Published: (2024)
Physics-based material parameters extraction from perovskite experiments via Bayesian optimization
by: Zhan, Hualin, et al.
Published: (2024)
by: Zhan, Hualin, et al.
Published: (2024)
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
by: Wang, Mianchu, et al.
Published: (2025)
by: Wang, Mianchu, et al.
Published: (2025)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
by: Regenwetter, Lyle, et al.
Published: (2025)
by: Regenwetter, Lyle, et al.
Published: (2025)
Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
by: Khoshkonesh, Atena, et al.
Published: (2025)
by: Khoshkonesh, Atena, et al.
Published: (2025)
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
by: Wu, Fang, et al.
Published: (2023)
by: Wu, Fang, et al.
Published: (2023)
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
by: Elrefaie, Mohamed, et al.
Published: (2025)
by: Elrefaie, Mohamed, et al.
Published: (2025)
Handbook of Rough Set Extensions and Uncertainty Models
by: Fujita, Takaaki, et al.
Published: (2026)
by: Fujita, Takaaki, et al.
Published: (2026)
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
by: Zhu, Mengran, et al.
Published: (2024)
by: Zhu, Mengran, et al.
Published: (2024)
Era Splitting: Invariant Learning for Decision Trees
by: DeLise, Timothy
Published: (2023)
by: DeLise, Timothy
Published: (2023)
Similar Items
-
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
by: Xie, Jiarui, et al.
Published: (2024) -
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025) -
Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding
by: Mishra, Akshansh
Published: (2025) -
Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
by: Mishra, Akshansh
Published: (2026) -
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
by: Peivaste, Iman, et al.
Published: (2025)