Data-driven discovery and DFT modeling of Fe4H on the atomistic level
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Date
2024
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Abstract
Since their discovery, iron and hydrogen have been two of the most interesting elements in scientific research, with a variety of
known and postulated compounds and applications. Of special interest in materials engineering is the stability of such materials,
where hydrogen embrittlement has gained particular importance in recent years. Here, we present the results for the Fe-H system.
In the past, most of the work on iron hydrides has been focused on hydrogen-rich compounds since they have a variety of interesting
properties at extreme conditions (e.g. superconductivity). However, we present the first atomistic study of an iron-rich Fe4H
compound which has been predicted using a combination of data mining and quantum mechanical calculations. Novel structures
have been discovered in the Fe4H chemical system for possible experimental synthesis at the atomistic level.
Description
Keywords
Iron hydride, DFT, Fe4H, Data mining
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Citation
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Source
Volume
54
Issue
Start Page
446
End Page
452