Machine learning modeling of lattice constants for half-Heusler alloys
The Gaussian process regression model is developed as a machine learning tool to find statistical correlations among lattice constants, a0, of half-Heusler compounds, ionic radii, and Pauling electronegativity of their alloying elements. Nearly 140 half-Heusler samples, containing alloying elements...
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| Published in | AIP advances Vol. 10; no. 4; pp. 045121 - 045121-10 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Melville
American Institute of Physics
01.04.2020
AIP Publishing LLC |
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| Abstract | The Gaussian process regression model is developed as a machine learning tool to find statistical correlations among lattice constants, a0, of half-Heusler compounds, ionic radii, and Pauling electronegativity of their alloying elements. Nearly 140 half-Heusler samples, containing alloying elements of Cr, Mn, Fe, Co, Ni, Rh, Ti, V, Al, Ga, In, Si, Ge, Sn, P, As, and Sb, are explored for this purpose. The modeling approach demonstrates a high degree of accuracy and stability, contributing to efficient and low-cost estimations of lattice constants of half-Heusler compounds. |
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| AbstractList | The Gaussian process regression model is developed as a machine learning tool to find statistical correlations among lattice constants, a0, of half-Heusler compounds, ionic radii, and Pauling electronegativity of their alloying elements. Nearly 140 half-Heusler samples, containing alloying elements of Cr, Mn, Fe, Co, Ni, Rh, Ti, V, Al, Ga, In, Si, Ge, Sn, P, As, and Sb, are explored for this purpose. The modeling approach demonstrates a high degree of accuracy and stability, contributing to efficient and low-cost estimations of lattice constants of half-Heusler compounds. |
| Author | Xu, Xiaojie Zhang, Yun |
| Author_xml | – sequence: 1 givenname: Yun surname: Zhang fullname: Zhang, Yun organization: North Carolina State University, Raleigh, North Carolina 27695, USA – sequence: 2 givenname: Xiaojie surname: Xu fullname: Xu, Xiaojie email: xxu6@ncsu.edu organization: North Carolina State University, Raleigh, North Carolina 27695, USA |
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| Cites_doi | 10.1103/physrevb.59.8615 10.1016/j.jallcom.2006.08.316 10.1063/1.4794056 10.1103/physrevlett.77.3865 10.1088/0953-2048/27/5/055016 10.1002/aenm.201500588 10.3390/met8120989 10.1038/nmat2771 10.1109/tmag.2010.2096229 10.1088/0953-2048/29/9/095012 10.1016/j.commatsci.2020.109583 10.1088/0953-8984/10/5/011 10.1088/0022-3727/39/5/s02 10.1007/s10853-018-03258-x 10.1016/j.jpcs.2007.03.050 10.1016/j.jallcom.2013.10.046 10.1038/s41598-017-15300-0 10.1103/physrevb.95.024411 10.1088/0953-8984/13/1/308 10.1038/nmat2770 10.1088/0953-2048/29/12/125005 10.1088/0268-1242/27/6/063001 10.1103/physrevb.82.125208 10.1063/1.4737906 10.1103/physrevb.79.064508 10.1103/physrevb.97.224511 10.1063/1.5144241 10.1088/2053-1591/aafa9f 10.1016/j.jpcs.2006.02.004 |
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| References | Chadov, Qi, Kübler, Fecher, Felser, Zhang (c20) 2010; 9 Al-Sawai, Lin, Markiewicz, Wray, Xia, Xu, Hasan, Bansil (c24) 2010; 82 Zhang, Koch, Schwartz (c19) 2014; 27 Lin, Wray, Xia, Xu, Jia, Cava, Bansil, Hasan (c4) 2010; 9 Lin, Gu, Zhu, Ye, Jiang, Wang, Liao, Yang, Zeng, Sheng (c8) 2019; 54 Zhang, Xu (c30) Xiao, Hu, Liu, Zhu, Li, Mu, Su, Li, Mao (c15) 2018; 97 Zhang, Xu (c28) 2020; 179 Zhu, Fu, Xie, Liu, Zhao (c3) 2015; 5 Perdew, Burke, Ernzerhof (c25) 1996; 77 Yang, Liu, Sheng, Guo, Zeng, Gao, Ye (c7) 2017; 7 Zhang, Xu (c31) 2020; 10 Kacimi, Mehnane, Zaoui (c6) 2014; 587 Offernes, Ravindran, Kjekshus (c14) 2007; 439 Jiang, Guo, Liu, Zhu, Zhou, Wu, Li (c26) 2006; 67 Zhang, Koch, Schwartz (c18) 2016; 29 Tobola, Pierre, Kaprzyk, Skolozdra, Kouacou (c9) 1998; 10 Li, Wang, Wang, Li, Viehland (c21) 2013; 102 Moreira, Dias (c27) 2007; 68 Zhang, Xu (c29) Xia, Ponnambalam, Bhattacharya, Pope, Poon, Tritt (c10) 2001; 13 Wang, Li, Hasanyan, Gao, Li, Viehland (c22) 2012; 101 Winterlik, Fecher, Thomas, Felser (c5) 2009; 79 Casper, Graf, Chadov, Balke, Felser (c23) 2012; 27 Graf, Parkin, Felser (c1) 2010; 47 Poon (c2) 2018; 8 Kandpal, Felser, Seshadri (c11) 2006; 39 Ma, Hegde, Munira, Xie, Keshavarz, Mildebrath, Wolverton, Ghosh, Butler (c13) 2017; 95 Ahmad, Gul, Mehmood (c32) 2019; 6 Uher, Yang, Hu, Morelli, Meisner (c12) 1999; 59 Zhang, Johnson, Naderi, Chaubal, Hunt, Schwartz (c17) 2016; 29 (2023080700561306700_c15) 2018; 97 (2023080700561306700_c14) 2007; 439 (2023080700561306700_c31) 2020; 10 (2023080700561306700_c17) 2016; 29 (2023080700561306700_c21) 2013; 102 (2023080700561306700_c28) 2020; 179 (2023080700561306700_c5) 2009; 79 (2023080700561306700_c8) 2019; 54 (2023080700561306700_c6) 2014; 587 2023080700561306700_c29 (2023080700561306700_c32) 2019; 6 (2023080700561306700_c22) 2012; 101 (2023080700561306700_c20) 2010; 9 (2023080700561306700_c27) 2007; 68 (2023080700561306700_c12) 1999; 59 (2023080700561306700_c13) 2017; 95 (2023080700561306700_c2) 2018; 8 (2023080700561306700_c26) 2006; 67 (2023080700561306700_c10) 2001; 13 (2023080700561306700_c1) 2010; 47 (2023080700561306700_c24) 2010; 82 (2023080700561306700_c3) 2015; 5 (2023080700561306700_c16) 2017 2023080700561306700_c30 (2023080700561306700_c7) 2017; 7 (2023080700561306700_c23) 2012; 27 (2023080700561306700_c9) 1998; 10 (2023080700561306700_c25) 1996; 77 (2023080700561306700_c18) 2016; 29 (2023080700561306700_c11) 2006; 39 (2023080700561306700_c4) 2010; 9 (2023080700561306700_c19) 2014; 27 |
| References_xml | – volume: 10 start-page: 1013 year: 1998 ident: c9 article-title: Crossover from semiconductor to magnetic metal in semi-Heusler phases as a function of valence electron concentration publication-title: J. Phys.: Condens. Matter – volume: 29 start-page: 095012 year: 2016 ident: c17 article-title: High critical current density Bi Sr CaCu O /Ag wire containing oxide precursor synthesized from nano-oxides publication-title: Supercond. Sci. Technol. – volume: 59 start-page: 8615 year: 1999 ident: c12 article-title: Transport properties of pure and doped MNiSn (M = Zr, Hf) publication-title: Phys. Rev. B – volume: 6 start-page: 046517 year: 2019 ident: c32 article-title: Artificial neural networks and vector regression models for prediction of lattice constants of half-Heusler compounds publication-title: Mater. Res. Express – volume: 27 start-page: 063001 year: 2012 ident: c23 article-title: Half-Heusler compounds: Novel materials for energy and spintronic applications publication-title: Semicond. Sci. Technol. – volume: 77 start-page: 3865 year: 1996 ident: c25 article-title: Generalized gradient approximation made simple publication-title: Phys. Rev. Lett. – ident: c29 article-title: Predicting doped MgB superconductor critical temperature from lattice parameters using Gaussian process regression publication-title: Physica C – volume: 27 start-page: 055016 year: 2014 ident: c19 article-title: Synthesis of Bi Sr CaCu O superconductors via direct oxidation of metallic precursors publication-title: Supercond. Sci. Technol. – volume: 587 start-page: 451 year: 2014 ident: c6 article-title: I–II–V and I–III–IV half-Heusler compounds for optoelectronic applications: Comparative study publication-title: J. Alloys Compd. – volume: 179 start-page: 109583 year: 2020 ident: c28 article-title: Yttrium barium copper oxide superconducting transition temperature modeling through Gaussian process regression publication-title: Comput. Mater. Sci. – ident: c30 article-title: Machine learning the magnetocaloric effect in manganites from lattice parameters publication-title: Appl. Phys. A – volume: 39 start-page: 776 year: 2006 ident: c11 article-title: Covalent bonding and the nature of band gaps in some half-Heusler compounds publication-title: J. Phys. D: Appl. Phys. – volume: 102 start-page: 082404 year: 2013 ident: c21 article-title: Giant magnetoelectric effect in self-biased laminates under zero magnetic field publication-title: Appl. Phys. Lett. – volume: 97 start-page: 224511 year: 2018 ident: c15 article-title: Superconductivity in the half-Heusler compound TbPdBi publication-title: Phys. Rev. B – volume: 29 start-page: 125005 year: 2016 ident: c18 article-title: Formation of Bi Sr CaCu O /Ag multifilamentary metallic precursor powder-in-tube wires publication-title: Supercond. Sci. Technol. – volume: 5 start-page: 1500588 year: 2015 ident: c3 article-title: High efficiency half-Heusler thermoelectric materials for energy harvesting publication-title: Adv. Energy Mater. – volume: 9 start-page: 546 year: 2010 ident: c4 article-title: Half-heusler ternary compounds as new multifunctional experimental platforms for topological quantum phenomena publication-title: Nat. Mater. – volume: 439 start-page: 37 year: 2007 ident: c14 article-title: Electronic structure and chemical bonding in half-Heusler phases publication-title: J. Alloys Compd. – volume: 68 start-page: 1617 year: 2007 ident: c27 article-title: Comment on “prediction of lattice constant in cubic perovskites” publication-title: J. Phys. Chem. Solids – volume: 82 start-page: 125208 year: 2010 ident: c24 article-title: Topological electronic structure in half-Heusler topological insulators publication-title: Phys. Rev. B – volume: 7 start-page: 14575 year: 2017 ident: c7 article-title: Opto-electric investigation for Si/organic heterojunction single-nanowire solar cells publication-title: Sci. Rep. – volume: 95 start-page: 024411 year: 2017 ident: c13 article-title: Computational investigation of half-Heusler compounds for spintronics applications publication-title: Phys. Rev. B – volume: 13 start-page: 77 year: 2001 ident: c10 article-title: Electrical transport properties of TiCoSb half-Heusler phases that exhibit high resistivity publication-title: J. Phys.: Condens. Matter – volume: 101 start-page: 092905 year: 2012 ident: c22 article-title: Geometry-induced magnetoelectric effect enhancement and noise floor reduction in metglas/piezofiber sensors publication-title: Appl. Phys. Lett. – volume: 10 start-page: 035220 year: 2020 ident: c31 article-title: Machine learning the magnetocaloric effect in manganites from compositions and structural parameters publication-title: AIP Advances – volume: 8 start-page: 989 year: 2018 ident: c2 article-title: Recent advances in thermoelectric performance of half-Heusler compounds publication-title: Metals – volume: 9 start-page: 541 year: 2010 ident: c20 article-title: Tunable multifunctional topological insulators in ternary Heusler compounds publication-title: Nat. Mater. – volume: 79 start-page: 064508 year: 2009 ident: c5 article-title: Superconductivity in palladium-based Heusler compounds publication-title: Phys. Rev. B – volume: 67 start-page: 1531 year: 2006 ident: c26 article-title: Prediction of lattice constant in cubic perovskites publication-title: J. Phys. Chem. Solids – volume: 47 start-page: 367 year: 2010 ident: c1 article-title: Heusler compounds—A material class with exceptional properties publication-title: IEEE Trans. Magn. – volume: 54 start-page: 7789 year: 2019 ident: c8 article-title: Engineering of hole-selective contact for high-performance perovskite solar cell featuring silver back-electrode publication-title: J. Mater. Sci. – volume: 59 start-page: 8615 year: 1999 ident: 2023080700561306700_c12 article-title: Transport properties of pure and doped MNiSn (M = Zr, Hf) publication-title: Phys. Rev. B doi: 10.1103/physrevb.59.8615 – volume: 439 start-page: 37 year: 2007 ident: 2023080700561306700_c14 article-title: Electronic structure and chemical bonding in half-Heusler phases publication-title: J. Alloys Compd. doi: 10.1016/j.jallcom.2006.08.316 – volume: 102 start-page: 082404 year: 2013 ident: 2023080700561306700_c21 article-title: Giant magnetoelectric effect in self-biased laminates under zero magnetic field publication-title: Appl. Phys. Lett. doi: 10.1063/1.4794056 – volume: 77 start-page: 3865 year: 1996 ident: 2023080700561306700_c25 article-title: Generalized gradient approximation made simple publication-title: Phys. Rev. Lett. doi: 10.1103/physrevlett.77.3865 – volume: 27 start-page: 055016 year: 2014 ident: 2023080700561306700_c19 article-title: Synthesis of Bi2Sr2CaCu2Ox superconductors via direct oxidation of metallic precursors publication-title: Supercond. Sci. Technol. doi: 10.1088/0953-2048/27/5/055016 – ident: 2023080700561306700_c30 article-title: Machine learning the magnetocaloric effect in manganites from lattice parameters publication-title: Appl. Phys. A – volume: 5 start-page: 1500588 year: 2015 ident: 2023080700561306700_c3 article-title: High efficiency half-Heusler thermoelectric materials for energy harvesting publication-title: Adv. Energy Mater. doi: 10.1002/aenm.201500588 – volume: 8 start-page: 989 year: 2018 ident: 2023080700561306700_c2 article-title: Recent advances in thermoelectric performance of half-Heusler compounds publication-title: Metals doi: 10.3390/met8120989 – year: 2017 ident: 2023080700561306700_c16 article-title: Formation of bismuth strontium calcium copper oxide superconductors – volume: 9 start-page: 546 year: 2010 ident: 2023080700561306700_c4 article-title: Half-heusler ternary compounds as new multifunctional experimental platforms for topological quantum phenomena publication-title: Nat. Mater. doi: 10.1038/nmat2771 – ident: 2023080700561306700_c29 article-title: Predicting doped MgB2 superconductor critical temperature from lattice parameters using Gaussian process regression publication-title: Physica C – volume: 47 start-page: 367 year: 2010 ident: 2023080700561306700_c1 article-title: Heusler compounds—A material class with exceptional properties publication-title: IEEE Trans. Magn. doi: 10.1109/tmag.2010.2096229 – volume: 29 start-page: 095012 year: 2016 ident: 2023080700561306700_c17 article-title: High critical current density Bi2Sr2CaCu2Ox/Ag wire containing oxide precursor synthesized from nano-oxides publication-title: Supercond. Sci. Technol. doi: 10.1088/0953-2048/29/9/095012 – volume: 179 start-page: 109583 year: 2020 ident: 2023080700561306700_c28 article-title: Yttrium barium copper oxide superconducting transition temperature modeling through Gaussian process regression publication-title: Comput. Mater. Sci. doi: 10.1016/j.commatsci.2020.109583 – volume: 10 start-page: 1013 year: 1998 ident: 2023080700561306700_c9 article-title: Crossover from semiconductor to magnetic metal in semi-Heusler phases as a function of valence electron concentration publication-title: J. Phys.: Condens. Matter doi: 10.1088/0953-8984/10/5/011 – volume: 39 start-page: 776 year: 2006 ident: 2023080700561306700_c11 article-title: Covalent bonding and the nature of band gaps in some half-Heusler compounds publication-title: J. Phys. D: Appl. Phys. doi: 10.1088/0022-3727/39/5/s02 – volume: 54 start-page: 7789 year: 2019 ident: 2023080700561306700_c8 article-title: Engineering of hole-selective contact for high-performance perovskite solar cell featuring silver back-electrode publication-title: J. Mater. Sci. doi: 10.1007/s10853-018-03258-x – volume: 68 start-page: 1617 year: 2007 ident: 2023080700561306700_c27 article-title: Comment on “prediction of lattice constant in cubic perovskites” publication-title: J. Phys. Chem. Solids doi: 10.1016/j.jpcs.2007.03.050 – volume: 587 start-page: 451 year: 2014 ident: 2023080700561306700_c6 article-title: I–II–V and I–III–IV half-Heusler compounds for optoelectronic applications: Comparative ab initio study publication-title: J. Alloys Compd. doi: 10.1016/j.jallcom.2013.10.046 – volume: 7 start-page: 14575 year: 2017 ident: 2023080700561306700_c7 article-title: Opto-electric investigation for Si/organic heterojunction single-nanowire solar cells publication-title: Sci. Rep. doi: 10.1038/s41598-017-15300-0 – volume: 95 start-page: 024411 year: 2017 ident: 2023080700561306700_c13 article-title: Computational investigation of half-Heusler compounds for spintronics applications publication-title: Phys. Rev. B doi: 10.1103/physrevb.95.024411 – volume: 13 start-page: 77 year: 2001 ident: 2023080700561306700_c10 article-title: Electrical transport properties of TiCoSb half-Heusler phases that exhibit high resistivity publication-title: J. Phys.: Condens. Matter doi: 10.1088/0953-8984/13/1/308 – volume: 9 start-page: 541 year: 2010 ident: 2023080700561306700_c20 article-title: Tunable multifunctional topological insulators in ternary Heusler compounds publication-title: Nat. Mater. doi: 10.1038/nmat2770 – volume: 29 start-page: 125005 year: 2016 ident: 2023080700561306700_c18 article-title: Formation of Bi2Sr2CaCu2Ox/Ag multifilamentary metallic precursor powder-in-tube wires publication-title: Supercond. Sci. Technol. doi: 10.1088/0953-2048/29/12/125005 – volume: 27 start-page: 063001 year: 2012 ident: 2023080700561306700_c23 article-title: Half-Heusler compounds: Novel materials for energy and spintronic applications publication-title: Semicond. Sci. Technol. doi: 10.1088/0268-1242/27/6/063001 – volume: 82 start-page: 125208 year: 2010 ident: 2023080700561306700_c24 article-title: Topological electronic structure in half-Heusler topological insulators publication-title: Phys. Rev. B doi: 10.1103/physrevb.82.125208 – volume: 101 start-page: 092905 year: 2012 ident: 2023080700561306700_c22 article-title: Geometry-induced magnetoelectric effect enhancement and noise floor reduction in metglas/piezofiber sensors publication-title: Appl. Phys. Lett. doi: 10.1063/1.4737906 – volume: 79 start-page: 064508 year: 2009 ident: 2023080700561306700_c5 article-title: Superconductivity in palladium-based Heusler compounds publication-title: Phys. Rev. B doi: 10.1103/physrevb.79.064508 – volume: 97 start-page: 224511 year: 2018 ident: 2023080700561306700_c15 article-title: Superconductivity in the half-Heusler compound TbPdBi publication-title: Phys. Rev. B doi: 10.1103/physrevb.97.224511 – volume: 10 start-page: 035220 year: 2020 ident: 2023080700561306700_c31 article-title: Machine learning the magnetocaloric effect in manganites from compositions and structural parameters publication-title: AIP Advances doi: 10.1063/1.5144241 – volume: 6 start-page: 046517 issue: 4 year: 2019 ident: 2023080700561306700_c32 article-title: Artificial neural networks and vector regression models for prediction of lattice constants of half-Heusler compounds publication-title: Mater. Res. Express doi: 10.1088/2053-1591/aafa9f – volume: 67 start-page: 1531 year: 2006 ident: 2023080700561306700_c26 article-title: Prediction of lattice constant in cubic perovskites publication-title: J. Phys. Chem. Solids doi: 10.1016/j.jpcs.2006.02.004 |
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| SubjectTerms | Alloy development Alloying elements Aluminum Antimony Electronegativity Gaussian process Germanium Heusler alloys Lattice parameters Machine learning Manganese Modelling Nickel Regression models Silicon Statistical analysis Statistical methods Tin |
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| Title | Machine learning modeling of lattice constants for half-Heusler alloys |
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