Realistic Estimation of Critical Exponents for Predicting the Magnetocaloric Effect in La0.7Sr0.3–xSmxMn0.95Ni0.05O3 (x = 0, 0.05, 0.10, 0.15) Manganites

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES Advanced Theory and Simulations Pub Date : 2024-12-10 DOI:10.1002/adts.202400933
Hanen Hammami, Chahra Amairia
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Employing a creative formulation, is conduct simulations to explore the magnetic entropy change, <span data-altimg=\"/cms/asset/c5e07f1f-d7e1-434f-bdd2-f158c3b5c60a/adts202400933-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"2\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/adts202400933-math-0001.png\"><mjx-semantics><mjx-mrow data-semantic-children=\"6\" data-semantic-content=\"0\" data-semantic- data-semantic-role=\"negative\" data-semantic-speech=\"minus normal upper Delta normal upper S Subscript normal upper M\" data-semantic-type=\"prefixop\"><mjx-mo data-semantic- data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"7\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\" rspace=\"1\" style=\"margin-left: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"1,4\" data-semantic-content=\"5\" data-semantic- data-semantic-parent=\"7\" data-semantic-role=\"implicit\" data-semantic-type=\"infixop\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"6\" data-semantic-role=\"greekletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic-added=\"true\" data-semantic- data-semantic-operator=\"infixop,⁢\" data-semantic-parent=\"6\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-msub data-semantic-children=\"2,3\" data-semantic- data-semantic-parent=\"6\" data-semantic-role=\"latinletter\" data-semantic-type=\"subscript\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-script style=\"vertical-align: -0.15em;\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" size=\"s\"><mjx-c></mjx-c></mjx-mi></mjx-script></mjx-msub></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:25130390:media:adts202400933:adts202400933-math-0001\" display=\"inline\" location=\"graphic/adts202400933-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow data-semantic-=\"\" data-semantic-children=\"6\" data-semantic-content=\"0\" data-semantic-role=\"negative\" data-semantic-speech=\"minus normal upper Delta normal upper S Subscript normal upper M\" data-semantic-type=\"prefixop\"><mo data-semantic-=\"\" data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"7\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\">−</mo><mrow data-semantic-=\"\" data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"1,4\" data-semantic-content=\"5\" data-semantic-parent=\"7\" data-semantic-role=\"implicit\" data-semantic-type=\"infixop\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"6\" data-semantic-role=\"greekletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">Δ</mi><mo data-semantic-=\"\" data-semantic-added=\"true\" data-semantic-operator=\"infixop,⁢\" data-semantic-parent=\"6\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\">⁢</mo><msub data-semantic-=\"\" data-semantic-children=\"2,3\" data-semantic-parent=\"6\" data-semantic-role=\"latinletter\" data-semantic-type=\"subscript\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">S</mi><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">M</mi></msub></mrow></mrow>$ - {{\\Delta}}{{{\\mathrm{S}}}_{\\mathrm{M}}}$</annotation></semantics></math></mjx-assistive-mml></mjx-container> within a random ferromagnetic system. This theoretical approach is used for the examination of a given La<sub>0.7</sub>Sr<sub>0.3–x</sub>Sm<sub>x</sub>Mn<sub>0.95</sub>Ni<sub>0.05</sub>O<sub>3</sub> (x = 0, 0.05, 0.10, 0.15) manganites. Initially, the critical exponents (𝛾; 𝛽) of these compounds are estimated. It has been noted that the magnetic behavior of the examined materials near the phase transition deviate from the standard patterns observed in typical universality classes. Subsequently, these exponents are exploited to simulate the isothermal <span data-altimg=\"/cms/asset/786cd81a-d880-4cbb-b20a-70e9a47e2e7b/adts202400933-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"3\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/adts202400933-math-0002.png\"><mjx-semantics><mjx-mrow data-semantic-children=\"15\" data-semantic-content=\"0\" data-semantic- data-semantic-role=\"negative\" data-semantic-speech=\"minus normal upper Delta normal upper S Subscript normal upper M Baseline left parenthesis normal upper H comma normal upper T right parenthesis\" data-semantic-type=\"prefixop\"><mjx-mo data-semantic- data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"16\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\" rspace=\"1\" style=\"margin-left: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"1,13\" data-semantic-content=\"14\" data-semantic- data-semantic-parent=\"16\" data-semantic-role=\"implicit\" data-semantic-type=\"infixop\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"15\" data-semantic-role=\"greekletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic-added=\"true\" data-semantic- data-semantic-operator=\"infixop,⁢\" data-semantic-parent=\"15\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-children=\"4,11\" data-semantic-content=\"12,2\" data-semantic- data-semantic-parent=\"15\" data-semantic-role=\"simple function\" data-semantic-type=\"appl\"><mjx-msub data-semantic-children=\"2,3\" data-semantic- data-semantic-parent=\"13\" data-semantic-role=\"simple function\" data-semantic-type=\"subscript\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-operator=\"appl\" data-semantic-parent=\"4\" data-semantic-role=\"simple function\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-script style=\"vertical-align: -0.15em;\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" size=\"s\"><mjx-c></mjx-c></mjx-mi></mjx-script></mjx-msub><mjx-mo data-semantic-added=\"true\" data-semantic- data-semantic-operator=\"appl\" data-semantic-parent=\"13\" data-semantic-role=\"application\" data-semantic-type=\"punctuation\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-children=\"9\" data-semantic-content=\"5,10\" data-semantic- data-semantic-parent=\"13\" data-semantic-role=\"leftright\" data-semantic-type=\"fenced\"><mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"11\" data-semantic-role=\"open\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-children=\"6,7,8\" data-semantic-content=\"7\" data-semantic- data-semantic-parent=\"11\" data-semantic-role=\"sequence\" data-semantic-type=\"punctuated\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"9\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic- data-semantic-operator=\"punctuated\" data-semantic-parent=\"9\" data-semantic-role=\"comma\" data-semantic-type=\"punctuation\" rspace=\"3\" style=\"margin-left: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"9\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow><mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"11\" data-semantic-role=\"close\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo></mjx-mrow></mjx-mrow></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:25130390:media:adts202400933:adts202400933-math-0002\" display=\"inline\" location=\"graphic/adts202400933-math-0002.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow data-semantic-=\"\" data-semantic-children=\"15\" data-semantic-content=\"0\" data-semantic-role=\"negative\" data-semantic-speech=\"minus normal upper Delta normal upper S Subscript normal upper M Baseline left parenthesis normal upper H comma normal upper T right parenthesis\" data-semantic-type=\"prefixop\"><mo data-semantic-=\"\" data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"16\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\">−</mo><mrow data-semantic-=\"\" data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"1,13\" data-semantic-content=\"14\" data-semantic-parent=\"16\" data-semantic-role=\"implicit\" data-semantic-type=\"infixop\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"15\" data-semantic-role=\"greekletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">Δ</mi><mo data-semantic-=\"\" data-semantic-added=\"true\" data-semantic-operator=\"infixop,⁢\" data-semantic-parent=\"15\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\">⁢</mo><mrow data-semantic-=\"\" data-semantic-children=\"4,11\" data-semantic-content=\"12,2\" data-semantic-parent=\"15\" data-semantic-role=\"simple function\" data-semantic-type=\"appl\"><msub data-semantic-=\"\" data-semantic-children=\"2,3\" data-semantic-parent=\"13\" data-semantic-role=\"simple function\" data-semantic-type=\"subscript\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-operator=\"appl\" data-semantic-parent=\"4\" data-semantic-role=\"simple function\" data-semantic-type=\"identifier\" mathvariant=\"normal\">S</mi><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">M</mi></msub><mo data-semantic-=\"\" data-semantic-added=\"true\" data-semantic-operator=\"appl\" data-semantic-parent=\"13\" data-semantic-role=\"application\" data-semantic-type=\"punctuation\">⁡</mo><mrow data-semantic-=\"\" data-semantic-children=\"9\" data-semantic-content=\"5,10\" data-semantic-parent=\"13\" data-semantic-role=\"leftright\" data-semantic-type=\"fenced\"><mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"11\" data-semantic-role=\"open\" data-semantic-type=\"fence\" stretchy=\"false\">(</mo><mrow data-semantic-=\"\" data-semantic-children=\"6,7,8\" data-semantic-content=\"7\" data-semantic-parent=\"11\" data-semantic-role=\"sequence\" data-semantic-type=\"punctuated\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"9\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">H</mi><mo data-semantic-=\"\" data-semantic-operator=\"punctuated\" data-semantic-parent=\"9\" data-semantic-role=\"comma\" data-semantic-type=\"punctuation\">,</mo><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"9\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">T</mi></mrow><mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"11\" data-semantic-role=\"close\" data-semantic-type=\"fence\" stretchy=\"false\">)</mo></mrow></mrow></mrow></mrow>$ - {{\\Delta}}{{{\\mathrm{S}}}_{\\mathrm{M}}}( {{\\mathrm{H}},{\\mathrm{T}}} )$</annotation></semantics></math></mjx-assistive-mml></mjx-container> curves under higher magnetic fields. The predicted relative cooling power values reach 420.3, 415.7, 412.5, and 408.4 J.kg<sup>−1</sup>K<sup>−1</sup> under 10 T applied magnetic field for La<sub>0.7</sub>Sr<sub>0.3–x</sub>Sm<sub>x</sub>Mn<sub>0.95</sub>Ni<sub>0.05</sub>O<sub>3</sub> with x = 0, 0.05, 0.10 and 0.15, respectively.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"41 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202400933","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

In this article, is introduce a calculation approach derived from integrating the Landau theory with the Arrott–Noakes equation. Employing a creative formulation, is conduct simulations to explore the magnetic entropy change, ΔSM$ - {{\Delta}}{{{\mathrm{S}}}_{\mathrm{M}}}$ within a random ferromagnetic system. This theoretical approach is used for the examination of a given La0.7Sr0.3–xSmxMn0.95Ni0.05O3 (x = 0, 0.05, 0.10, 0.15) manganites. Initially, the critical exponents (𝛾; 𝛽) of these compounds are estimated. It has been noted that the magnetic behavior of the examined materials near the phase transition deviate from the standard patterns observed in typical universality classes. Subsequently, these exponents are exploited to simulate the isothermal ΔSM(H,T)$ - {{\Delta}}{{{\mathrm{S}}}_{\mathrm{M}}}( {{\mathrm{H}},{\mathrm{T}}} )$ curves under higher magnetic fields. The predicted relative cooling power values reach 420.3, 415.7, 412.5, and 408.4 J.kg−1K−1 under 10 T applied magnetic field for La0.7Sr0.3–xSmxMn0.95Ni0.05O3 with x = 0, 0.05, 0.10 and 0.15, respectively.

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预测La0.7Sr0.3-xSmxMn0.95Ni0.05O3 (x = 0,0.05, 0.10, 0.15)锰矿磁热效应临界指数的现实估计
本文介绍了一种将朗道理论与arrot - noakes方程相结合的计算方法。采用一种创造性的公式,进行模拟来探索随机铁磁系统内的磁熵变化,−Δ _ SM$ - {{\Delta}}{{{\mathrm{S}}}_{\mathrm{M}}}$。该理论方法用于检测给定的la0.7 sr0.3 - xsmxmn0.95 ni0.050 o3 (x = 0,0.05, 0.10, 0.15)锰矿石。最初,临界指数(;估计这些化合物的数量。已经注意到,所测材料在相变附近的磁性行为偏离了在典型的普适类中观察到的标准模式。随后,利用这些指数来模拟高磁场下的等温曲线- Δ∑SM (H,T)$ - {{\Delta}}{{\mathrm{S}} _{\mathrm{M}} ({{\mathrm{H}},{\mathrm{T}}})$。当x = 0、0.05、0.10和0.15时,La0.7Sr0.3-xSmxMn0.95Ni0.05O3在10 T外加磁场下的相对冷却功率分别达到420.3、415.7、412.5和408.4 J.kg−1K−1。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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