Dynaxx on the Data-Physics Interface: When Learning Algorithms Discover Conservation Laws
This article is based on the latest industry practices and data, last updated in April 2026. In my decade of building and deploying physics-informed machine learning systems for complex engineering and scientific discovery, I've witnessed a profound shift: from using data to fit models to using algorithms to uncover the fundamental laws governing the data itself. This guide explores the frontier where data-driven learning meets physical conservation principles. I'll share my hard-won experience,