Şeker, ErkinErkinŞekerShi, ShanShanShiMcCue, IanIanMcCue2026-03-032026-03-032025-05-01MRS Bulletin 50 (5): 599-607 (2025)https://hdl.handle.net/11420/61844Nanoporous metals produced via dealloying have attracted significant interest due to the interesting physics surrounding their morphological evolution and how their topologically complex structure influences mechanical, optical, and electrochemical properties. Their impressive nanostructure-enabled properties—such as increased catalytic activity, surface-enhanced Raman signals, high strength, and large surface-to-volume ratio—have led to catalysts, sensors, actuators, energy storage, and biomedical device coatings with superior properties and performance. However, translation of nanoporous metals into practical applications has revealed needs for new material systems and manufacturing approaches, and consequently better predictive models for application-specific operating conditions. The goal of this issue of MRS Bulletin is to elaborate on the latest advances in emerging methods and technologies of dealloyed materials that enable new structures and form factors, machine learning-guided design and synthesis, material recovery and sustainability for scaled-up production, and stable performance in intended operational environments.en1938-142520255599607CorrosionFunctionalHierarchicalMachine learningMetalNanostructurePorosityTechnology::600: TechnologyReview Article10.1557/s43577-025-00907-wReview Article