Bonita Goh , Yafei Wang , Phalgun Nelaturu , Hongliang Zhang , Michael Moorehead , Thien Duong , Pikee Priya , Dan Thoma , Santanu Chaudhuri , Jason Hattrick-Simpers , Kumar Sridharan , Adrien Couet
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Nobility vs. mobility: Insights into molten salt corrosion mechanisms of high-entropy alloys via high-throughput experiments and machine learning
Corrosion of alloys in molten salts is commonly understood from thermodynamics: the higher the content of noble elements in the alloy, the more corrosion resistant the alloy is expected to be. Here, we present an example in the CrFeMnNi compositionally complex space that defies this conventional intuition. Machine learning-facilitated analysis of the extensive dataset reveals that molten salt corrosion in this system is primarily predicted by the Ni mobility within the alloy. This discovery was made possible using high-throughput manufacturing and testing of a set of 110 compositionally complex alloys within the CrFeMnNi element space prepared by additive manufacturing in situ alloying processes and corrosion tested in standardized conditions of temperature and chlorine potential. A standardized, parametric dataset of this magnitude for corrosion in molten salts is a first of its kind. This dataset results in new insights into the corrosion mechanism of CrFeMnNi for clean energy-enabling technologies.
期刊介绍:
Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content.
Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.