Code and Datasets for Parameter Identification of Thermoacoustic Oscillations using PI-DeepONet
收藏DataCite Commons2026-01-29 更新2026-05-05 收录
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https://www.scidb.cn/detail?dataSetId=e2e6074f0951420d9b8fde1bbe0b4659
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资源简介：
This repository contains the source code, numerical training data, and validation benchmarks associated with the study on "Parameter Identification of Thermoacoustic Oscillations using PI-DeepONet."The dataset includes:Source Code: PyTorch implementation of the PI-DeepONet architecture, physics-informed constraints, and the training engine.Training Data: High-fidelity numerical solutions of the Fokker-Planck equations (Ground Truth) used for supervising the network, covering both amplitude and displacement increment expectations.Validation Data: Synthetic Stochastic Differential Equation (SDE) time-series generated via Latin Hypercube Sampling (LHS).This dataset is intended for reproducing the reported results and benchmarking parameter inversion algorithms for stochastic dynamical systems.
提供机构：
Science Data Bank
创建时间：
2026-01-29
