Dierk Raabe

Prof. Dr. Dierk Raabe

Max-Planck-Institute for Sustainable Materials, Düsseldorf, North Rhine-Westphalia, Germany
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2010 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
MCMarion Calcagnotto
Marion Calcagnotto
DPDirk Ponge
Dirk Ponge
EDEralp Demir
Eralp Demir
DRDierk Raabe
Dierk Raabe

1 February 2010 in Acta Materialia
Verified
Journal Article
Closed access
FRFranz Roters
Franz Roters
Philip EisenlohrPhilip Eisenlohr
Philip Eisenlohr
LHL. Hantcherli
L. Hantcherli
DTD.D. Tjahjanto
D.D. Tjahjanto
TBT.R. Bieler
T.R. Bieler
DRD. Raabe
D. Raabe


1 August 2015 in Acta Materialia
Verified
Journal Article
Closed access
YDY. Deng
Y. Deng
CTC.C. Tasan
C.C. Tasan
KPK.G. Pradeep
K.G. Pradeep
HSH. Springer
H. Springer
AKA. Kostka
A. Kostka
DRD. Raabe
D. Raabe

7 October 2022 in Science
Verified
Journal Article
Closed access
ZRZiyuan Rao
Ziyuan Rao
PTPo-Yen Tung
Po-Yen Tung
RXRuiwen Xie
Ruiwen Xie
YWYe Wei
Ye Wei
HZHongbin Zhang
Hongbin Zhang
DRDierk Raabe
Dierk Raabe
High-entropy alloys are solid solutions of multiple principal elements that are capable of reaching composition and property regimes inaccessible for dilute materials. Discovering those with valuable properties, however, too often relies on serendipity, because thermodynamic alloy design rules alone often fail in high-dimensional composition spaces. We propose an active learning strategy to accelerate the design of high-entropy Invar alloys in a practically infinite compositional space based on very sparse data. Our approach works as a closed-loop, integrating machine learning with density-functional theory, thermodynamic calculations, and experiments. After processing and characterizing 17 new alloys out of millions of possible compositions, we identified two high-entropy Invar alloys with extremely low thermal expansion coefficients around 2 × 10 −6 per degree kelvin at 300 kelvin. We believe this to be a suitable pathway for the fast and automated discovery of high-entropy alloys with optimal thermal, magnetic, and electrical properties.

6 November 2019 in Nature
Verified
Journal Article
Open access
PDF file
DRDierk Raabe
Dierk Raabe
CTC. Cem Tasan
C. Cem Tasan
EOElsa A. Olivetti
Elsa A. Olivetti
Metallic materials have enabled technological progress over thousands of years. The accelerated demand for structural (that is, load-bearing) alloys in key sectors such as energy, construction, safety and transportation is resulting in predicted production growth rates of up to 200 per cent until 2050. Yet most of these materials require a lot of energy when extracted and manufactured and these processes emit large amounts of greenhouse gases and pollution. Here we review methods of improving the direct sustainability of structural metals, in areas including reduced-carbon-dioxide primary production, recycling, scrap-compatible alloy design, contaminant tolerance of alloys and improved alloy longevity. We discuss the effectiveness and technological readiness of individual measures and also show how novel structural materials enable improved energy efficiency through their reduced mass, higher thermal stability and better mechanical properties than currently available alloys.