
Computational chemistry and machine learning @DEShawResearch | PhD at @HarvardCCB and @mit_dmse 2023 | @uoftphysics 2017 | @queensu 2016
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ALT On the cover: The dissolution of transition metal nitrides in acid to form ammonia has led to catalyst degradation (e.g., in developing hydrogen fuel cells) or false positives (e.g., in designing catalysts for ammonia synthesis). This cover image shows the decomposition of nitrides and the generation of ammonia in acid. In this issue, Peng et al. develop new stability design principles of transition metal nitrides in acid based on their electronic structure (highlighted in the image). These physical principles not only provide a fundamental understanding of nitride dissolution in acid but also offer a blueprint to optimize metal nitrides for diverse acidic clean energy applications to electrify and decarbonize the production and utilization of chemicals and fuels.























