Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications

Lai, Junwen; Bolyachkin, A.; Terada, Noriki; Dieb, Thaer M.; Tang, Xin; Ohkubo, T.; Sepehri-Amin, H.; Hara, Kazuhiro

doi:10.1016/j.actamat.2022.117942

Cited by 20 publications

(10 citation statements)

References 134 publications

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“…However, nanoarchitectonics of such complex systems is difficult to advance based on a simple theoretical background or the experience of researchers. Fortunately, mankind has developed artificial intelligence and advanced methodologies such as machine learning − and materials informatics. − Such new technologies are expected to support thin film nanoarchitectonics, which consists of complex elements. In fact, a fusion of nanoarchitectonics and materials informatics for functional porous materials has been proposed .…”

Section: Discussionmentioning

confidence: 99%

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Ariga

2023

Chem. Mater.

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Considering the creation of functional materials based on nanoscience, an emerging concept of nanoarchitectonics has been proposed to combine nanotechnology with other material-related fields. Nanoarchitectonics aims to establish universal methodologies to architect functional materials using nanounits of atoms, molecules, and nanomaterials. The ultimate goal of nanoarchitectonics is to construct high-performance functional materials, as seen for those in biological systems. Functional molecules in biological systems are rationally integrated, mostly on the basis of various membrane structures. With this in mind, this review discusses materials nanoarchitectonics for two-dimensional films. As major methods, the Langmuir−Blodgett (LB) method and the layer-by-layer (LbL) assembly are first focused. The standard LB method for various materials and technical extensions of the LB method are initially discussed, and then the LbL assembly with certain advances is described. After that, some examples of other advanced twodimensional techniques for materials creation are presented. Although standard methodologies have long histories (more than 100 years for LB and 30 years for LbL), their developments are still active using out of common sense conditions and introducing emerging nanomaterials. Especially, this paper demonstrates that out-of-box thinking will lead to the development of new thin film nanoarchitectonics.

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Section: Discussionmentioning

confidence: 99%

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Ariga

2023

Chem. Mater.

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“…However, they did not report the changes in the mechanical brittleness. Lai et al [168] applied machine learning for composition optimization of (Mn,Fe) 2 (P,Si) and found a promising composition of Mn 1.70 Fe 0.30 P 0.63 Si 0.37 with a transition temperature of 97 K at 1 T. The value T C can be lowered to 73 K by substituting Fe with Co, and the corresponding large magnetocaloric performance further extends its application into the cryogenic region. Similar machine learning methods have also been applied to accelerate the design of (Mn,Fe) 2 (P,Si) based MCMs.…”

Section: Me Coupled (Mnfe) 2 (Psi) Based Compoundsmentioning

confidence: 99%

Advanced Magnetocaloric Materials for Energy Conversion: Recent Progress, Opportunities, and Perspective

Zhang,

Miao,

van Dijk

et al. 2024

Advanced Energy Materials

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Solid‐state caloric effects as intrinsic thermal responses to different physical external stimuli (magnetic‐, uniaxial stress‐, pressure‐, and electric‐fields) can achieve a higher energy efficiency compared with traditional gas compression techniques. Among these effects, magnetocaloric energy conversion is regarded as the best available alternative and has been exploited extensively for promising application scenarios in the last decades. This review systematically introduces the magnetocaloric effect and its applications, and summarizes the corresponding representative magnetocaloric materials, as well as important progress in recent years. Specifically, the review focuses on some key understandings of the magnetocaloric effect by utilizing state‐of‐the‐art technical tools such as synchrotron X‐ray, neutron scattering, muon spin spectroscopy, positron annihilation spectroscopy, high magnetic fields, etc., and highlights their importance toward advanced materials design and development. An overview of the basic principles and applications of these advanced techniques on magnetocaloric materials is provided. Finally, the challenges and perspectives on further developments in this field are discussed. Further in‐depth understanding and manufacturing technology advancement combined with fast‐developed artificial intelligence and machine learning are expected to advance the magnetocaloric energy conversion technology closer to real applications.

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“…Cooling by adiabatic demagnetization refrigerators (ADRs) relies on the magnetocaloric effect, which describes the entropy change associated with the temperature and the magnitude of applied fields. − Practical devices were first proposed by Giauque and Macdougall in 1933, by which cooling from 3.5 to 0.5 K was realized in a one-shot mode . The constant low temperature was not maintained on ADRs until 1954, when successive cycles of magnetization were performed on a device constructed by Heer, Barnes, and Daunt .…”

Section: Introductionmentioning

confidence: 99%

Strong Magnetocaloric Coupling in Oxyorthosilicate with Dense Gd³⁺ Spins

Yang

Zhang

et al. 2023

Inorg. Chem.

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Searching for working refrigerant materials is the key element in the design of magnetic cooling devices. Herein, we report on the thermodynamic and magnetocaloric parameters of an X 1 phase oxyorthosilicate, Gd2SiO5, by field-dependent static magnetization and specific heat measurements. An overall correlation strength of |J|S 2 ≈ 3.4 K is derived via the mean-field estimate, with antiferromagnetic correlations between the ferromagnetically coupled Gd–Gd layers. The magnetic entropy change −ΔS m is quite impressive, reaches 0.40 J K–1 cm–3 (58.5 J K–1 kg–1) at T = 2.7 K, with the largest adiabatic temperature change T ad = 23.2 K for a field change of 8.9 T. At T = 20 K, the lattice entropy S L is small enough compared to the magnetic entropy S m, S m/S L = 21.3, which warrants its potential in 2 −20 K cryocoolers with both the Stirling and Carnot cycles. Though with relatively large exchange interactions, the layered A-type spin arrangement ultimately enhances the magnetocaloric coupling, raising the possibilities of designing magnetic refrigerants with a high ratio of cooling capacity to volume.

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Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications

Cited by 20 publications

References 134 publications

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Advanced Magnetocaloric Materials for Energy Conversion: Recent Progress, Opportunities, and Perspective

Strong Magnetocaloric Coupling in Oxyorthosilicate with Dense Gd³⁺ Spins

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Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications

Cited by 20 publications

References 134 publications

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Chemistry of Materials Nanoarchitectonics for Two-Dimensional Films: Langmuir–Blodgett, Layer-by-Layer Assembly, and Newcomers

Advanced Magnetocaloric Materials for Energy Conversion: Recent Progress, Opportunities, and Perspective

Strong Magnetocaloric Coupling in Oxyorthosilicate with Dense Gd3+ Spins

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Product

Resources

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Strong Magnetocaloric Coupling in Oxyorthosilicate with Dense Gd³⁺ Spins