Physics-Informed Neural Networks in Aerospace: A Structured Taxonomy with Literature Review
Physics-Informed Neural Networks in Aerospace: A Structured Taxonomy with Literature Review Yurii Tkachov ORCID: https://orcid.org/0000-0003-1556-2463 Oles Honchar Dnipro National University Oleh Murashko ORCID: https://orcid.org/0009-0006-3643-1576 Oles Honchar Dnipro National University Purpose. This study aims to develop a structured four-tier taxonomy that systematically organizes aerospace engineering tasks suitable for the application of Physics-Informed Neural Networks (PINNs), while validating this classification through a literature review and identifying opportunities for future research. Design / Method / Approach. The methodology involves grouping tasks into four distinct tiers—Physical Modeling, …