(Wydawnictwa AGH, 2026) Wójcik, Daria; Niewiadomska, Alicja; Paszyński, Maciej
In this article, we build a model for tsunami simulation based on physicsinformed neural networks and the Finite Difference Method. We then check how the numerical results obtained using these two methods differ from each other. Assuming that the Finite Difference Method gives accurate results, we estimate the error resulting from the use of physics-informed neural networks. We compare this estimate with surveys conducted among computer science students in order to assess the level of public trust among specialists in the numerical results obtained using artificial intelligence tools. In particular, we assess how reliable tsunami predictions obtained using physics-informed neural networks are and what the public perception of the reliability of such predictions is.
