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Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models

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Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models. / Toda-Caraballo, Isaac; Rivera-Díaz-del-Castillo, Pedro E.J.
In: JOM, Vol. 67, No. 1, 2015, p. 108-117.

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@article{0e0cf3b8905c45cab172889084af0dcf,
title = "Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models",
abstract = "Physical and statistical models are combined to describe and design magnesium and high entropy alloys. A principal component analysis is applied to merge material datasets, and it is shown that limits in properties can be envisaged. Extrapolation techniques can be employed to devise properties of non-existing alloys, such as specific heat capacity, melting point and Young{\textquoteright}s modulus. These in turn can be input to physical models to predict, for example, yield strength and modulus of toughness. The tools described herein can readily be used for materials discovery, and are being implemented in the Accelerated Metallurgy project.",
author = "Isaac Toda-Caraballo and Rivera-D{\'i}az-del-Castillo, {Pedro E.J.}",
year = "2015",
doi = "10.1007/s11837-014-1242-2",
language = "English",
volume = "67",
pages = "108--117",
journal = "JOM",
issn = "1047-4838",
publisher = "Minerals, Metals and Materials Society",
number = "1",

}

RIS

TY - JOUR

T1 - Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models

AU - Toda-Caraballo, Isaac

AU - Rivera-Díaz-del-Castillo, Pedro E.J.

PY - 2015

Y1 - 2015

N2 - Physical and statistical models are combined to describe and design magnesium and high entropy alloys. A principal component analysis is applied to merge material datasets, and it is shown that limits in properties can be envisaged. Extrapolation techniques can be employed to devise properties of non-existing alloys, such as specific heat capacity, melting point and Young’s modulus. These in turn can be input to physical models to predict, for example, yield strength and modulus of toughness. The tools described herein can readily be used for materials discovery, and are being implemented in the Accelerated Metallurgy project.

AB - Physical and statistical models are combined to describe and design magnesium and high entropy alloys. A principal component analysis is applied to merge material datasets, and it is shown that limits in properties can be envisaged. Extrapolation techniques can be employed to devise properties of non-existing alloys, such as specific heat capacity, melting point and Young’s modulus. These in turn can be input to physical models to predict, for example, yield strength and modulus of toughness. The tools described herein can readily be used for materials discovery, and are being implemented in the Accelerated Metallurgy project.

U2 - 10.1007/s11837-014-1242-2

DO - 10.1007/s11837-014-1242-2

M3 - Journal article

AN - SCOPUS:84925481891

VL - 67

SP - 108

EP - 117

JO - JOM

JF - JOM

SN - 1047-4838

IS - 1

ER -