# Operator Regression on 2D Burgers' equation resolution 64x64 (t=5s) Source: [Operator Regression on 2D Burgers' equation resolution 64x64 (t=5s)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:59:55.507Z Evaluation of Operator Regression models on the 2D Burgers' equation dataset variant specified by 64x64 resolution at time t=5s, typically measured using Root Mean Square Error (RMSE). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Operator Regression | | Dataset (including any stated split) | 2D Burgers' equation resolution 64x64 (t=5s) | | Metric | RMSE | | Unit | SCALAR | | Direction | Lower is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [RMSE](): Lower is better; unit: SCALAR. ## Recorded results | Method | RMSE | Result date | Report paper | | --- | --- | --- | --- | | Transducer | 0.0022 | Not recorded | 68fa6f711e209131cea459d1 | ### Transducer RMSE: 0.0022. Result ID: 6990beae3a6c31484902ee96. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Target Time":"5s","Training Examples":100,"Parameter Conditions":"v in \[0.1, 0.5\]"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.