{"total":21,"rows":[{"id":"2410.13762","title":"Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators","created":"2024-10-17","cited_by_count":12,"area":null},{"id":"2504.19452","title":"Geometry-Informed Neural Operator Transformer","created":"2025-04-28","cited_by_count":8,"area":null},{"id":"2508.06981","title":"Structure-Preserving Digital Twins via Conditional Neural Whitney Forms","created":"2025-08-09","cited_by_count":8,"area":null},{"id":"2506.12045","title":"From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences","created":"2025-05-24","cited_by_count":7,"area":null},{"id":"2508.05190","title":"Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference","created":"2025-08-07","cited_by_count":5,"area":null},{"id":"2605.15549","title":"CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models","created":"2026-05-15","cited_by_count":5,"area":null},{"id":"2604.01802","title":"Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator","created":"2026-04-02","cited_by_count":4,"area":null},{"id":"2507.11574","title":"Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators","created":"2025-07-15","cited_by_count":3,"area":null},{"id":"2510.12368","title":"Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2510.15651","title":"Deep Neural ODE Operator Networks for PDEs","created":"2025-10-17","cited_by_count":3,"area":null},{"id":"2507.03660","title":"Single vs. Multiple Branches in DeepONet and S-DeepONet: Network Architecture Follows Coupling in Multiphysics Systems","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2604.13316","title":"Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators","created":"2026-04-14","cited_by_count":2,"area":null},{"id":"2503.02440","title":"Artificial Intelligence in Reactor Physics: Current Status and Future Prospects","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2604.11625","title":"SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2604.18611","title":"Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2510.18041","title":"Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2606.03321","title":"Validation-Gated Multi-Agent Governance for Online Adaptation of Thermal-Hydraulic Surrogate Models under Operating-Regime Shift","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.19388","title":"Neural Operator Surrogates for Two-Dimensional Neutron Flux Estimation","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.04027","title":"Learning to Resolve Neutron Resonances with Fully Convolutional Neural Networks","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.33978","title":"Adapting neural operators for mechanics decisions under changing operating conditions","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.40090","title":"PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}