Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator
Fuente:
arXiv
Saved in:
| Main Authors: | Howes, William, Yoo, Jason, Kobayashi, Kazuma, Sarkar, Subhankar, Ahmed, Farid, Chakraborty, Souvik, Alam, Syed Bahauddin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
by: Howes, William, et al.
Published: (2026)
by: Howes, William, et al.
Published: (2026)
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)
by: Kobayashi, Kazuma, et al.
Published: (2024)
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
by: Yoo, Jay Phil, et al.
Published: (2025)
by: Yoo, Jay Phil, et al.
Published: (2025)
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
by: Yoo, Jason, et al.
Published: (2026)
by: Yoo, Jason, et al.
Published: (2026)
Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators
by: Hossain, Raisa Bentay, et al.
Published: (2024)
by: Hossain, Raisa Bentay, et al.
Published: (2024)
Hardware-Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs
by: Lee, Jiwoon, et al.
Published: (2026)
by: Lee, Jiwoon, et al.
Published: (2026)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Improved generalization with deep neural operators for engineering systems: Path towards digital twin
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology
by: Kobayashi, Kazuma, et al.
Published: (2022)
by: Kobayashi, Kazuma, et al.
Published: (2022)
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
by: Park, Jaewan, et al.
Published: (2025)
by: Park, Jaewan, et al.
Published: (2025)
TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
by: Kumar, Vagish, et al.
Published: (2026)
by: Kumar, Vagish, et al.
Published: (2026)
From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
by: Daniell, James, et al.
Published: (2022)
by: Daniell, James, et al.
Published: (2022)
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid
by: Sarkar, Subhankar, et al.
Published: (2024)
by: Sarkar, Subhankar, et al.
Published: (2024)
Physics- and geometry-aware spatio-spectral graph neural operator for time-independent and time-dependent PDEs
by: Sarkar, Subhankar, et al.
Published: (2025)
by: Sarkar, Subhankar, et al.
Published: (2025)
When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
by: Lee, Yoon Pyo, et al.
Published: (2025)
by: Lee, Yoon Pyo, et al.
Published: (2025)
AI-driven Uncertainty Quantification & Multi-Physics Approach to Evaluate Cladding Materials in a Microreactor
by: Foutch, Alex, et al.
Published: (2025)
by: Foutch, Alex, et al.
Published: (2025)
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Degradation-Aware and Machine Learning-Driven Uncertainty Quantification in Crystal Plasticity Finite Element: Texture-Driven Plasticity in 316L Stainless Steel
by: Kumar, Dinesh, et al.
Published: (2025)
by: Kumar, Dinesh, et al.
Published: (2025)
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
by: Kumar, Sawan, et al.
Published: (2024)
by: Kumar, Sawan, et al.
Published: (2024)
Cellular Intelligence: Understanding How Human Cells Detect, Decide, and Heal
by: Sarkar, Subhankar
Published: (2025)
by: Sarkar, Subhankar
Published: (2025)
CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis
by: Garg, Shailesh, et al.
Published: (2026)
by: Garg, Shailesh, et al.
Published: (2026)
Agent-Fence: Mapping Security Vulnerabilities Across Deep Research Agents
by: Puppala, Sai, et al.
Published: (2026)
by: Puppala, Sai, et al.
Published: (2026)
SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
by: Garg, Shailesh, et al.
Published: (2026)
by: Garg, Shailesh, et al.
Published: (2026)
Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark
by: Gamage, Udayanga G. W. K. N., et al.
Published: (2026)
by: Gamage, Udayanga G. W. K. N., et al.
Published: (2026)
NeuroPINNs: Neuroscience Inspired Physics Informed Neural Networks
by: Garg, Shailesh, et al.
Published: (2025)
by: Garg, Shailesh, et al.
Published: (2025)
Quantum Inaccessibility
by: Wolfson, Ira
Published: (2025)
by: Wolfson, Ira
Published: (2025)
The Inaccessible Game
by: Lawrence, Neil D.
Published: (2025)
by: Lawrence, Neil D.
Published: (2025)
Low Operating Voltage Metal‐Oxide Thin‐Film Transistor for Portable Physiological Temperature Sensing
by: Rajarshi Chakraborty, et al.
Published: (2025)
by: Rajarshi Chakraborty, et al.
Published: (2025)
mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
by: Mishra, Subhankar
Published: (2026)
by: Mishra, Subhankar
Published: (2026)
The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
by: Hossain, Ismail, et al.
Published: (2026)
by: Hossain, Ismail, et al.
Published: (2026)
Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures
by: Gupta, Kishor Datta, et al.
Published: (2025)
by: Gupta, Kishor Datta, et al.
Published: (2025)
Similar Items
-
Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
by: Howes, William, et al.
Published: (2026) -
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024) -
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
by: Kobayashi, Kazuma, et al.
Published: (2025) -
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
by: Yoo, Jay Phil, et al.
Published: (2025) -
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)