2026-10-14T14:51:59Z https://www.scidb.cn/oai

10.57760/sciencedb.36471 2026-10-08T11:10:17Z

2026-10-08 Code and Datasets for Parameter Identification of Thermoacoustic Oscillations using PI-DeepONet doi:10.57760/sciencedb.36471 en 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.（The v2 version provides a PI-DeepONet code framework for jointly training first- and second-order moments, as well as code for generating simulated data.）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. thermoacoustics; DeepLearning; Parameter identification Wang Lv Xuan Wang Chaohui Yang Jiachen Qin Yupeng Wang Yichen PUBLIC https://api.github.com/licenses/gpl-3.0 dataset Science Data Bank