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

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43

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69

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No
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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. © 2024 Elsevier B.V., All rights reserved.

Description

SPFIE Portuguese Structural Integrity Society

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
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OpenCitations Citation Count
1

Source

Procedia Structural Integrity

Volume

54

Issue

Start Page

446

End Page

452
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CrossRef : 1

Scopus : 1

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Mendeley Readers : 1

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1

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271

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186

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