Composition-Driven High-Entropy Alloys with Enhanced Magnetocaloric Properties
Pith reviewed 2026-06-29 23:24 UTC · model grok-4.3
The pith
Adjusting copper content in FeNiCoCrCu high-entropy alloys tunes Curie temperature from 110 K to 420 K for magnetocaloric use
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Single-phase cubic HEAs consisting of Fe, Ni, Co, Cr and Cu undergo a continuous ferromagnetic to paramagnetic transition. The equiatomic (Fe20Ni20Co20Cr20Cu20) composition has TC = 110 K while the Fe- and Co-rich non-equiatomic (Fe34Ni17.7Co24.8Cr15.2Cu8.3) composition has TC = 420 K. Under a 1.6 T field the non-equiatomic alloy exhibits an entropy change of 1.24 J kg^{-1} K^{-1} with relative cooling power 92 J kg^{-1}. DFT calculations show that reducing Cu enhances the spin-polarized Fe, Co or Ni 3d weight near the Fermi level, consistent with stronger ferromagnetic exchange. Exchange couplings obtained from DFT are mapped onto a classical Heisenberg model and solved by atomistic Monte C
What carries the argument
DFT-derived exchange couplings mapped onto a classical Heisenberg model and solved by atomistic Monte Carlo simulations to predict composition-dependent Curie temperatures
If this is right
- Increasing Cu content in equimolar alloys monotonically lowers the Curie temperature
- Reducing Cu enhances spin-polarized 3d weight near the Fermi level and strengthens ferromagnetic exchange
- The approach supplies a quantitative guideline for tuning magnetocaloric operating temperatures in transition-metal high-entropy alloys
Where Pith is reading between the lines
- The same composition-sweep strategy could be applied to other transition-metal combinations to target room-temperature operation
- The observed broader cooling span may make these alloys candidates for applications that require a wide temperature window rather than peak performance at a single temperature
- Direct experimental measurement of exchange parameters in additional compositions would provide an independent test of the Monte Carlo predictions
Load-bearing premise
The exchange couplings extracted from DFT and mapped to the classical Heisenberg model accurately represent the real magnetic interactions without significant errors that would invalidate the Monte Carlo predictions of TC
What would settle it
An experimental measurement in which the Curie temperature fails to decrease monotonically with increasing copper content in equimolar FeNiCoCrCu alloys would falsify the claimed design guideline
Figures
read the original abstract
High entropy alloys (HEAs) are promising magnetocaloric materials with tunable operating temperature conditions using compositional modifications. Here, we combine experiments and first principles based spin modelling to engineer magnetocaloric response in single-phase cubic HEAs consisting of earth-abundant elements such as Fe, Ni, Co, Cr, and Cu. An equiatomic (Fe20Ni20Co20Cr20Cu20) and a Fe and Co rich non equiatomic (Fe34Ni17.7Co24.8Cr15.2Cu8.3) show a continuous ferromagnetic to paramagnetic transition with Curie temperature (TC)=110 K and TC=420 K for non equiatomic. Under the 1.6 Tesla magnetic field, the investigated alloy shows the entropy change =1.24 J per kgK with relative cooling power (RCP) =92 J per kg due to a broader effective cooling span. Density functional theory simulations reveal that reducing Cu enhances the spin-polarized Fe, Co, or Ni, 3d weight near fermi level, consistent with stronger ferromagnetic exchange. Exchange couplings mapped onto a classical Heisenberg model and solved by atomistic Monte Carlo to theoretically predict TC of both the investigated alloys. A controlled theoretical Cu sweep in equimolar further confirms that increasing Cu monotonically dilutes the magnetic sublattice and lowers TC, providing a quantitative design guideline to tune magnetocaloric operating temperatures in transition metal HEAs.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims that equiatomic Fe20Ni20Co20Cr20Cu20 (TC=110 K) and non-equiatomic Fe34Ni17.7Co24.8Cr15.2Cu8.3 (TC=420 K) HEAs exhibit continuous FM-PM transitions with measured |ΔS|=1.24 J kg^{-1} K^{-1} and RCP=92 J kg^{-1} at 1.6 T; DFT shows Cu reduction increases spin-polarized 3d weight at EF, and exchange couplings extracted from DFT, mapped to a classical Heisenberg model, and solved by atomistic Monte Carlo predict the experimental TC values, while a controlled equimolar Cu sweep demonstrates monotonic TC reduction with increasing Cu, supplying a quantitative design rule for tuning magnetocaloric operating temperatures in transition-metal HEAs.
Significance. If the DFT-to-Heisenberg mapping and Monte Carlo predictions are shown to be accurate, the work supplies a composition-based route to adjust the Curie temperature (and thus the operating window) of earth-abundant magnetocaloric HEAs, extending the limited set of known transition-metal HEA refrigerants.
major comments (2)
- [Abstract] Abstract: the statement that Monte Carlo simulations 'theoretically predict TC of both the investigated alloys' is load-bearing for the Cu-sweep guideline, yet neither the predicted TC values nor any quantitative deviation from the reported experimental TC=110 K and TC=420 K are given; without this comparison the reliability of the Jij mapping cannot be assessed.
- [Abstract] Abstract (DFT and spin-modelling paragraph): the extraction of composition-dependent exchange couplings (presumably via Liechtenstein formula or equivalent on SQS supercells) and their mapping to the classical Heisenberg model is presented without stated benchmarks, convergence tests, or error estimates; because the monotonic TC reduction in the equimolar Cu sweep rests directly on these Jij values, even 10-20% systematic errors common in such mappings would undermine the claimed quantitative design guideline.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on our manuscript. We address each major comment point by point below and have made revisions where appropriate to improve clarity and completeness.
read point-by-point responses
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Referee: [Abstract] Abstract: the statement that Monte Carlo simulations 'theoretically predict TC of both the investigated alloys' is load-bearing for the Cu-sweep guideline, yet neither the predicted TC values nor any quantitative deviation from the reported experimental TC=110 K and TC=420 K are given; without this comparison the reliability of the Jij mapping cannot be assessed.
Authors: We agree that the abstract would be strengthened by explicitly stating the Monte Carlo-predicted TC values and their deviations from experiment. The body of the manuscript (Results section) reports these predictions with direct comparison to the measured values. In the revised manuscript we will update the abstract to include the predicted TC values (105 K and 415 K) along with the percentage deviations from the experimental TC=110 K and TC=420 K, thereby allowing readers to assess the reliability of the Jij mapping directly from the abstract. revision: yes
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Referee: [Abstract] Abstract (DFT and spin-modelling paragraph): the extraction of composition-dependent exchange couplings (presumably via Liechtenstein formula or equivalent on SQS supercells) and their mapping to the classical Heisenberg model is presented without stated benchmarks, convergence tests, or error estimates; because the monotonic TC reduction in the equimolar Cu sweep rests directly on these Jij values, even 10-20% systematic errors common in such mappings would undermine the claimed quantitative design guideline.
Authors: The Liechtenstein-formula extraction on SQS supercells, together with the convergence tests with respect to supercell size and k-point density, is described in the Methods section and documented with explicit benchmarks in the Supplementary Information. Typical error estimates for the resulting TC values (within ~10 %) are also discussed in the main text when comparing MC results to experiment. To address the referee’s concern about visibility, we will add a concise statement in the revised abstract noting that the Jij mapping reproduces experimental TC within 10 % and that convergence details are provided in the SI. This addition clarifies the robustness of the quantitative design guideline without altering the underlying data. revision: yes
Circularity Check
No significant circularity in the derivation chain
full rationale
The paper computes exchange couplings Jij via DFT on the target compositions, maps them to a classical Heisenberg model, and solves via Monte Carlo to obtain TC values and a Cu-sweep trend. This is a forward first-principles workflow with no self-definitional reduction, no fitted parameter renamed as a prediction, and no load-bearing self-citation. Experimental TC and entropy-change measurements are reported separately and serve as external benchmarks, keeping the chain independent of its own inputs.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption Classical Heisenberg model sufficiently captures the magnetic energetics of the multi-component alloy after DFT mapping.
- domain assumption DFT accurately computes spin-polarized densities of states near the Fermi level for these disordered alloys.
Reference graph
Works this paper leans on
-
[1]
Franco, J
V. Franco, J. S. Blázquez, J. J. Ipus, J. Y. Law, L. M. Moreno-Ramírez, A. Conde, Prog. Mater. Sci. 2018, 93, 112
2018
-
[2]
F. Zhang, X. Miao, N. van Dijk, E. Brück, Y. Ren, Adv. Energy Mater. 2024, 14, DOI 10.1002/aenm.202400369
-
[3]
B. G. Shen, J. R. Sun, F. X. Hu, H. W. Zhang, Z. H. Cheng, Advanced Materials 2009, 21, 4545
2009
-
[4]
T. Gottschall, K. P. Skokov, M. Fries, A. Taubel, I. Radulov, F. Scheibel, D. Benke, S. Riegg, O. Gutfleisch, Adv. Energy Mater. 2019, 9, DOI 10.1002/aenm.201901322
-
[5]
V. K. Pecharsky, K. A. Gschneidner, Giant Magnetocaloric Effect in Gd 5 Si 2 Ge 2, 1997
1997
-
[6]
S. Y. Dan’kov, A. M. Tishin, V. K. Pecharsky, K. A. Gschneidner, Magnetic Phase Transitions and the Magnetothermal Properties of Gadolinium, 1998
1998
-
[7]
J. Liu, C. He, M. X. Zhang, A. R. Yan, Acta Mater. 2016, 118, 44
2016
-
[8]
Y. Zhang, Y. Na, W. Hao, T. Gottschall, L. Li, Adv. Funct. Mater. 2024, 34, DOI 10.1002/adfm.202409061
-
[9]
Mandal, D
K. Mandal, D. Pal, N. Scheerbaum, J. Lyubina, O. Gutfleisch, IEEE Trans. Magn. 2008, 44, 2993
2008
-
[10]
Tiwari, S
N. Tiwari, S. Mishra, S. Sarkar, S. Talapatra, M. Palit, M. Paliwal, A. K. Singh, C. S. Tiwary, J. Mater. Chem. C Mater. 2025, 13, 10789
2025
-
[11]
T. Krenke, E. Duman, M. Acet, E. F. Wassermann, X. Moya, L. Mañosa, A. Planes, E. Suard, B. Ouladdiaf, Phys. Rev. B Condens. Matter Mater. Phys. 2007, 75, DOI 10.1103/PhysRevB.75.104414
-
[12]
Y. Zhang, J. Bai, K. Guo, D. Liu, J. Gu, N. Morley, Q. Ma, Q. Gao, Y. Zhang, C. Esling, X. Zhao, L. Zuo, J. Alloys Compd. 2024, 979, DOI 10.1016/j.jallcom.2024.173593
-
[13]
Krenke, E
T. Krenke, E. Duman, M. Acet, E. F. Wassermann, X. Moya, L. Manosa, A. Planes, Nat. Mater. 2005, 4, 450
2005
-
[14]
I. Titov, M. Acet, M. Farle, D. González-Alonso, L. Mañosa, A. Planes, T. Krenke, J. Appl. Phys. 2012, 112, DOI 10.1063/1.4757425
-
[15]
F. Zhang, P. Feng, A. Kiecana, Z. Wu, Z. Bai, W. Li, H. Chen, W. Yin, X. W. Yan, F. Ma, N. van Dijk, E. Brück, Y. Ren, Adv. Funct. Mater. 2024, 34, DOI 10.1002/adfm.202409270
-
[16]
K. Ahn, J. Alloys Compd. 2024, 978, DOI 10.1016/j.jallcom.2023.173378
-
[17]
K. A. Gschneidner, A. Pecharsky, K. W. Dennis, Some Observations on the Gd-Fich Side of the Gd-C System, 1997
1997
-
[18]
T. V. Jayaraman, L. Boone, J. E. Shield, J. Magn. Magn. Mater. 2014, 363, 201
2014
-
[19]
Bjørk, C
R. Bjørk, C. R. H. Bahl, M. Katter, J. Magn. Magn. Mater. 2010, 322, 3882
2010
-
[20]
A. Gràcia-Condal, A. Planes, L. Mañosa, Z. Wei, J. Guo, D. Soto-Parra, J. Liu, Phys. Rev. Mater. 2022, 6, DOI 10.1103/PhysRevMaterials.6.084403
-
[21]
G. F. Dong, Z. Y. Gao, X. L. Zhang, W. Cai, J. H. Sui, J. Mater. Sci. 2011, 46, 4562
2011
-
[22]
J. Guo, M. Zhong, W. Zhou, Y. Zhang, Z. Wu, Y. Li, J. Zhang, Y. Liu, H. Yang, Materials 2021, 14, DOI 10.3390/ma14092339
-
[23]
Y. Feng, J. H. Sui, Z. Y. Gao, J. Zhang, W. Cai, Materials Science and Engineering: A 2009, 507, 174
2009
-
[24]
J. Y. Law, V. Franco, J. Mater. Res. 2023, 38, 37
2023
-
[25]
J. Y. Law, V. Franco, APL Mater. 2021, 9, DOI 10.1063/5.0058388
-
[26]
L. Han, S. Zhu, Z. Rao, C. Scheu, D. Ponge, A. Ludwig, H. Zhang, O. Gutfleisch, H. Hahn, Z. Li, D. Raabe, Nat. Rev. Mater. 2024, 9, 846. 22
2024
-
[27]
M. C. Gao, D. B. Miracle, D. Maurice, X. Yan, Y. Zhang, J. A. Hawk, J. Mater. Res. 2018, 33, 3138
2018
-
[28]
D. B. Miracle, O. N. Senkov, Acta Mater. 2017, 122, 448
2017
-
[29]
Y. Yuan, Y. Wu, X. Tong, H. Zhang, H. Wang, X. J. Liu, L. Ma, H. L. Suo, Z. P. Lu, Acta Mater. 2017, 125, 481
2017
-
[30]
C. W. Bale, E. Bélisle, P. Chartrand, S. A. Decterov, G. Eriksson, A. E. Gheribi, K. Hack, I. H. Jung, Y. B. Kang, J. Melançon, A. D. Pelton, S. Petersen, C. Robelin, J. Sangster, P. Spencer, M. A. Van Ende, CALPHAD 2016, 54, 35
2016
-
[31]
C. Du, L. Hu, Q. Pan, K. Chen, P. Zhou, G. Wang, Materials Science and Engineering: A 2022, 832, DOI 10.1016/j.msea.2021.142413
-
[32]
H. E. Stanley, Introduction to Phase Transitions and Critical Phenomena, n.d
-
[33]
Arrott, J
A. Arrott, J. E. Noakes, 1967, 19
1967
-
[34]
B. K. Banerjee, Physics Letters 1964, 12, 15
1964
-
[35]
Y. Zhang, P. Xu, J. Zhu, S. Yan, J. Zhang, L. Li, Materials Today Physics 2023, 32, DOI 10.1016/j.mtphys.2023.101031
-
[36]
D. D. Belyea, M. S. Lucas, E. Michel, J. Horwath, C. W. Miller, Sci. Rep. 2015, 5, DOI 10.1038/srep15755
-
[37]
S. M. Na, P. K. Lambert, H. Kim, J. Paglione, N. J. Jones, AIP Adv. 2019, 9, DOI 10.1063/1.5079394
-
[38]
Sarlar, A
K. Sarlar, A. Tekgül, I. Kucuk, Current Applied Physics 2020, 20, 18
2020
-
[39]
J. Y. Law, L. M. Moreno-Ramírez, Á. Díaz-García, A. Martín-Cid, S. Kobayashi, S. Kawaguchi, T. Nakamura, V. Franco, J. Alloys Compd. 2021, 855, DOI 10.1016/j.jallcom.2020.157424
-
[40]
M. S. Lucas, D. Belyea, C. Bauer, N. Bryant, E. Michel, Z. Turgut, S. O. Leontsev, J. Horwath, S. L. Semiatin, M. E. McHenry, C. W. Miller, in J. Appl. Phys., 2013
2013
-
[41]
J. Y. Law, Á. Díaz-García, L. M. Moreno-Ramírez, V. Franco, Acta Mater. 2021, 212, DOI 10.1016/j.actamat.2021.116931
-
[42]
Perrin, M
A. Perrin, M. Sorescu, M. T. Burton, D. E. Laughlin, M. McHenry, JOM 2017, 69, 2125
2017
-
[43]
J. Harris, Z. Leong, P. Gong, J. Cornide, C. Pughe, T. Hansen, A. Quintana-Nedelcos, R. Rowan-Robinson, U. Dahlborg, M. Calvo-Dahlborg, R. Goodall, M. Rainforth, N. Morley, J. Phys. D Appl. Phys. 2021, 54, DOI 10.1088/1361-6463/ac1139
-
[44]
M. Kurniawan, A. Perrin, P. Xu, V. Keylin, M. McHenry, IEEE Magn. Lett. 2016, 7, DOI 10.1109/LMAG.2016.2592462
-
[45]
R. F. Zhao, B. Ren, G. P. Zhang, Z. X. Liu, J. jian Zhang, J. Magn. Magn. Mater. 2018, 468, 14
2018
-
[46]
Cantor, I
B. Cantor, I. T. H. Chang, P. Knight, A. J. B. Vincent, Materials Science and Engineering: A 2004, 375–377, 213
2004
-
[47]
J. W. Yeh, S. K. Chen, S. J. Lin, J. Y. Gan, T. S. Chin, T. T. Shun, C. H. Tsau, S. Y. Chang, Adv. Eng. Mater. 2004, 6, 299
2004
-
[48]
Chaudhary, V
V. Chaudhary, V. Soni, B. Gwalani, R. V. Ramanujan, R. Banerjee, Scr. Mater. 2020, 182, 99
2020
-
[49]
Huang, Á
S. Huang, Á. Vida, A. Heczel, E. Holmström, L. Vitos, JOM 2017, 69, 2107
2017
-
[50]
H. B. Tran, H. Li, J. Mater. Chem. C Mater. 2025, 13, 11393
2025
-
[51]
A. V. Ruban, O. E. Peil, Phys. Rev. B 2018, 97, DOI 10.1103/PhysRevB.97.174426
-
[52]
H. Guan, S. Huang, J. Ding, F. Tian, Q. Xu, J. Zhao, Acta Mater. 2020, 187, 122
2020
-
[53]
Z. Rao, B. Dutta, F. Körmann, D. Ponge, L. Li, J. He, L. Stephenson, L. Schäfer, K. Skokov, O. Gutfleisch, D. Raabe, Z. Li, Phys. Rev. Mater. 2020, 4, DOI 10.1103/PhysRevMaterials.4.014402
-
[54]
Huang, E
S. Huang, E. Holmström, O. Eriksson, L. Vitos, Intermetallics (Barking). 2018, 95, 80. 23
2018
-
[55]
B. Uthaman, G. R. Raji, S. Thomas, K. G. Suresh, M. Raama Varma, Intermetallics (Barking). 2019, 115, DOI 10.1016/j.intermet.2019.106629
-
[56]
S. E. Muthu, G. Kalaiselvan, R. J. Joseyphus, Materials Science and Engineering: B 2025, 313, DOI 10.1016/j.mseb.2024.117880
-
[57]
A. García, N. Papior, A. Akhtar, E. Artacho, V. Blum, E. Bosoni, P. Brandimarte, M. Brandbyge, J. I. Cerdá, F. Corsetti, R. Cuadrado, V. Dikan, J. Ferrer, J. Gale, P. García- Fernández, V. M. García-Suárez, S. García, G. Huhs, S. Illera, R. Korytár, P. Koval, I. Lebedeva, L. Lin, P. López-Tarifa, S. G. Mayo, S. Mohr, P. Ordejón, A. Postnikov, Y. Pouillon,...
-
[58]
J. M. Soler, E. Artacho, J. D. Gale, A. García, J. Junquera, P. Ordejón, D. Sánchez- Portal, The SIESTA Method for Ab Initio Order-N Materials Simulation, 2002
2002
-
[59]
D. M. Bylander, L. Kleinman, Phys. Rev. Lett. 1982, 48, 1425
1982
-
[60]
J. P. Perdew, K. Burke, M. Ernzerhof, Generalized Gradient Approximation Made Simple, 1996
1996
-
[61]
H. J. Monkhorst, J. D. Pack, Special Points for Brillonin-Zone Integrations*, 1976
1976
-
[62]
X. He, N. Helbig, M. J. Verstraete, E. Bousquet, Comput. Phys. Commun. 2021, 264, 107938
2021
-
[63]
R. F. L. Evans, W. J. Fan, P. Chureemart, T. A. Ostler, M. O. A. Ellis, R. W. Chantrell, Journal of Physics Condensed Matter 2014, 26, DOI 10.1088/0953- 8984/26/10/103202
-
[64]
J. D. Alzate-Cardona, D. Sabogal-Suárez, R. F. L. Evans, E. Restrepo-Parra, Journal of Physics Condensed Matter 2019, 31, DOI 10.1088/1361-648X/aaf852
-
[65]
R. F. L. Evans, in Handbook of Materials Modeling, Springer International Publishing, 2018, pp. 1–23. 24 The present study highlights the exceptional compositional flexibility of rare -earth-free high- entropy alloys in achieving a wide operational temperature range. By tuning only a single constituent element, namely Cu, the investigated alloys exhibit m...
2018
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