{"total":29,"rows":[{"id":"2506.17774","title":"PhysiX: A Foundation Model for Physics Simulations","created":"2025-06-21","cited_by_count":22,"area":null},{"id":"2502.12902","title":"Probabilistic neural operators for functional uncertainty quantification","created":"2025-02-18","cited_by_count":18,"area":null},{"id":"2504.03503","title":"Operator Learning: A Statistical Perspective","created":"2025-04-04","cited_by_count":17,"area":null},{"id":"2506.10973","title":"Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning","created":"2025-06-12","cited_by_count":12,"area":null},{"id":"2408.09881","title":"Uncertainty Quantification of Surrogate Models using Conformal Prediction","created":"2024-08-19","cited_by_count":11,"area":null},{"id":"2503.17797","title":"Enhancing Fourier Neural Operators with Local Spatial Features","created":"2025-03-22","cited_by_count":10,"area":null},{"id":"2502.04406","title":"Calibrated Physics-Informed Uncertainty Quantification","created":"2025-02-06","cited_by_count":8,"area":null},{"id":"2501.18426","title":"Guaranteed prediction sets for functional surrogate models","created":"2025-01-30","cited_by_count":7,"area":null},{"id":"2511.08860","title":"When is a System Discoverable from Data? Discovery Requires Chaos","created":"2025-11-12","cited_by_count":6,"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":"2405.17260","title":"Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates","created":"2024-05-27","cited_by_count":3,"area":null},{"id":"2502.17397","title":"Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods","created":"2025-02-24","cited_by_count":2,"area":null},{"id":"2504.17710","title":"Plasma State Monitoring and Disruption Characterization using Multimodal VAEs","created":"2025-04-24","cited_by_count":2,"area":null},{"id":"2509.01416","title":"MD-PNOP: Equation-Recast Neural Operators for Minimal-Data Extrapolation and PDE Solver Acceleration","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2602.23113","title":"Learning Physical Operators using Neural Operators","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2512.23884","title":"Autoregressive long-horizon prediction of plasma edge dynamics","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2602.15890","title":"Surrogate Modeling for Neutron Transport: A Neural Operator Approach","created":"2026-02-07","cited_by_count":1,"area":null},{"id":"2405.16608","title":"Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale","created":"2024-05-26","cited_by_count":0,"area":null},{"id":"2509.05799","title":"Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown","created":"2025-09-06","cited_by_count":0,"area":null},{"id":"2509.07024","title":"TGLF-WINN: Data-Efficient Deep Learning Surrogate for Turbulent Transport Modeling in Fusion","created":"2025-09-07","cited_by_count":0,"area":null},{"id":"2509.26139","title":"Leveraging AI modelling for FDS with Simvue: monitor and optimise for more sustainable simulations","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2512.01576","title":"From Black Hole to Galaxy: Neural Operator: Framework for Accretion and Feedback Dynamics","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2601.12614","title":"Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2602.04287","title":"Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2605.02597","title":"Isotropic Fourier Neural Operators","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.04198","title":"Deep Wave Network for Modeling Multi-Scale Physical Dynamics","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2607.21688","title":"Explainable quantum-compressed machine learning for complex fluid flows","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.24785","title":"Physics Attention Transformer Surrogate for Rapid Vertical Instability Growth Rate Prediction: Alcator C-Mod to SPARC","created":"2026-08-25","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}