Data-Driven Discovery and DFT Modeling of Fe4H on the Atomistic Level
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Date
2024, 2024
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier B.V.
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
43
OpenAIRE Views
69
Publicly Funded
No
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. © 2024 Elsevier B.V., All rights reserved.
Description
SPFIE Portuguese Structural Integrity Society
ORCID
Keywords
Data Mining, Dft, Fe4H, Iron Hydride, Iron hydride, DFT, Data mining, Fe4H
Fields of Science
02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences
Citation
WoS Q
N/A
Scopus Q
Q4

OpenCitations Citation Count
1
Source
Procedia Structural Integrity
Volume
54
Issue
Start Page
446
End Page
452
PlumX Metrics
Citations
CrossRef : 1
Scopus : 1
Captures
Mendeley Readers : 1
SCOPUS™ Citations
1
checked on Mar 06, 2026
Page Views
271
checked on Mar 06, 2026
Downloads
186
checked on Mar 06, 2026
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