PDEBench
Emerging5papers using it
2022first seen
PDEBench is a benchmark dataset that contains a collection of simulated systems used to evaluate the performance of models in solving partial differential equations (PDEs).
Papers using PDEBench (5)
- AMR-Transformer: Enabling Efficient Long-range Interaction for Complex
Neural Fluid SimulationOmniArch: Building Foundation Model For Scientific ComputingCompNO: A Novel Foundation Model approach for solving Partial Differential EquationsAn MLCommons Scientific Benchmarks OntologyPDEBENCH: An Extensive Benchmark for Scientific Machine Learning