The paper explores the evolution of nanoporosity in dealloying, a common corrosion process where an alloy is selectively dissolved, leaving behind a nanoporous sponge composed of the more noble alloy constituents. The authors use experimental, lattice computer simulation, and a continuum model to demonstrate that nanoporosity is due to an intrinsic dynamical pattern formation process. Specifically, the more noble atoms are chemically driven to aggregate into two-dimensional clusters via spinodal decomposition at the solid-electrolyte interface, while the surface area continuously increases due to etching. This process evolves a characteristic length scale predicted by the continuum model. The potential applications of nanoporous metals, such as in sensor applications for biomaterials, are highlighted. The study provides a comprehensive understanding of the physics behind porosity formation during dealloying, including the role of spinodal decomposition and the dynamics of interface motion.The paper explores the evolution of nanoporosity in dealloying, a common corrosion process where an alloy is selectively dissolved, leaving behind a nanoporous sponge composed of the more noble alloy constituents. The authors use experimental, lattice computer simulation, and a continuum model to demonstrate that nanoporosity is due to an intrinsic dynamical pattern formation process. Specifically, the more noble atoms are chemically driven to aggregate into two-dimensional clusters via spinodal decomposition at the solid-electrolyte interface, while the surface area continuously increases due to etching. This process evolves a characteristic length scale predicted by the continuum model. The potential applications of nanoporous metals, such as in sensor applications for biomaterials, are highlighted. The study provides a comprehensive understanding of the physics behind porosity formation during dealloying, including the role of spinodal decomposition and the dynamics of interface motion.