AUG 11, 2026 · PREPRINT
Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems
arXiv
An unreviewed computational method for synthetic data generation with reported performance improvements across multiple engineering tasks, but lacking peer review, independent validation, and clinical or regulatory outcomes.
Reported
Synthetic dataset scale4.4 million samples
Number of real-world datasets34
Remaining useful life prediction…48%