{"total":19,"rows":[{"id":"2306.00258","title":"Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior","created":"2023-06-01","cited_by_count":131,"area":null},{"id":"2304.07993","title":"In-Context Operator Learning with Data Prompts for Differential Equation Problems","created":"2023-04-17","cited_by_count":101,"area":null},{"id":"2310.02994","title":"Multiple Physics Pretraining for Physical Surrogate Models","created":"2023-10-04","cited_by_count":98,"area":null},{"id":"2511.15684","title":"Walrus: A Cross-Domain Foundation Model for Continuum Dynamics","created":"2025-11-19","cited_by_count":36,"area":null},{"id":"2401.07364","title":"PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws","created":"2024-01-14","cited_by_count":31,"area":null},{"id":"2306.05014","title":"Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges","created":"2023-06-08","cited_by_count":9,"area":null},{"id":"2301.06200","title":"Efficiently Computing Sparse Fourier Transforms of $q$-ary Functions","created":"2023-01-15","cited_by_count":7,"area":null},{"id":"2308.05061","title":"Fine-Tune Language Models as Multi-Modal Differential Equation Solvers","created":"2023-08-09","cited_by_count":4,"area":null},{"id":"2606.01470","title":"Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence","created":"2026-05-31","cited_by_count":4,"area":null},{"id":"2407.17213","title":"Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision","created":"2024-07-24","cited_by_count":3,"area":null},{"id":"2604.23874","title":"Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics","created":"2026-04-26","cited_by_count":3,"area":null},{"id":"2211.11580","title":"Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics","created":"2022-11-21","cited_by_count":2,"area":null},{"id":"2307.16580","title":"A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields","created":"2023-07-31","cited_by_count":2,"area":null},{"id":"2510.00282","title":"Electron neural closure for turbulent magnetosheath simulations: energy channels","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2307.03683","title":"Differentiable Turbulence: Closure as a partial differential equation constrained optimization","created":"2023-07-07","cited_by_count":1,"area":null},{"id":"2309.14780","title":"Transferring climate change physical knowledge","created":"2023-09-26","cited_by_count":1,"area":null},{"id":"2504.15487","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2509.20365","title":"An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2407.05224","title":"On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed","created":"2024-07-07","cited_by_count":0,"area":null}],"next_cursor":null}