Designed materials with the giant magnetocaloric effect near room temperature

Biswas, Anis; Pathak, Arjun K.; Zarkevich, Nikolai A.; Liu, Xubo; Mudryk, Yaroslav; Balema, Viktor P.; Johnson, Duane D.; Pecharsky, V. K.

doi:10.1016/j.actamat.2019.09.023

Cited by 91 publications

(50 citation statements)

References 70 publications

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“…The most widely used computational method for simulating materials properties is Density Functional Theory (DFT), which has served as the backbone of materials by design in areas such as energy and magnetic materials (see, for example, refs. [39][40][41] ). Yet, DFT is built on several commonly used but essentially uncontrolled approximations.…”

Section: Ai For Computational Quantum Materialsmentioning

confidence: 99%

Artificial intelligence for search and discovery of quantum materials

et al. 2021

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Artificial intelligence and machine learning are becoming indispensable tools in many areas of physics, including astrophysics, particle physics, and climate science. In the arena of quantum materials, the rise of new experimental and computational techniques has increased the volume and the speed with which data are collected, and artificial intelligence is poised to impact the exploration of new materials such as superconductors, spin liquids, and topological insulators. This review outlines how the use of data-driven approaches is changing the landscape of quantum materials research. From rapid construction and analysis of computational and experimental databases to implementing physical models as pathfinding guidelines for autonomous experiments, we show that artificial intelligence is already well on its way to becoming the lynchpin in the search and discovery of quantum materials.

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Section: Ai For Computational Quantum Materialsmentioning

confidence: 99%

Artificial intelligence for search and discovery of quantum materials

et al. 2021

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“…Known materials made of abundant and non-toxic elements include those with body-centered cubic (bcc) A2, B2 [30], or Heusler structures [80,[92][93][94][95][96][97][98][99][100][101][102][103] (with or without a possible tetragonal distortion), Mn 0.5 Fe 0.5 NiSi 1−x Al x [31] with TiNiSi-type orthorhombic to Ni 2 In-type hexagonal phase transition, LaFe 13−x Si x [87,104,105] with the NaZn 13 -type 1:13 phase (Figure 3), a subset of magnetic shape memory alloys (SMA) containing Ni and Mn, manganites based on La 0.7 Ca 0.3 MnO 3 , etc.…”

Section: ∆S T T C (K) ∆T S (K)mentioning

confidence: 99%

“…Most of them contained critical, rare, or toxic elements, see Figure 2c. However, to be viable for industry, magnetocaloric materials should be made from inexpensive, abundant, and safe elements [30,31].…”

Section: Introductionmentioning

confidence: 99%

“…Although scientifically interesting [32,33], they were not economically viable. It was a challenge to discover magnetocaloric materials made of abundant and non-toxic elements [30,31]. For example, in the CaloriCool approach [3,29] over 10 4 (ten thousand) magnetic phase transformations were rapidly screened and less than 10 2 (hundred) systems were pre-selected, out of which <10 were labeled as the most promising, but only two materials were patented [34,35].…”

Section: Introductionmentioning

confidence: 99%

“…Disregarded were compositions containing critical or toxic chemical elements, as well as gas-emitting hydrides. Recent discoveries [30,31] of a giant MCE in materials without critical or toxic elements enable production and use of such materials in large quantities.…”

Section: Introductionmentioning

confidence: 99%

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Viable Materials with a Giant Magnetocaloric Effect

Zarkevich

Zverev

2020

Crystals

Self Cite

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This review of the current state of magnetocalorics is focused on materials exhibiting a giant magnetocaloric response near room temperature. To be economically viable for industrial applications and mass production, materials should have desired useful properties at a reasonable cost and should be safe for humans and the environment during manufacturing, handling, operational use, and after disposal. The discovery of novel materials is followed by a gradual improvement of properties by compositional adjustment and thermal or mechanical treatment. Consequently, with time, good materials become inferior to the best. There are several known classes of inexpensive materials with a giant magnetocaloric effect, and the search continues.

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Design of Excellent Mechanical Performances and Magnetic Refrigeration via In Situ Forming Dual‐Phase Alloys

Zhong,

Song,

Long

et al. 2024

Advanced Materials

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Magnetic refrigeration technology can achieve higher energy efficiency based on the magnetocaloric effect. However, the practical application of MCE materials is hindered by their poor mechanical properties, making them challenging to process into devices. Conventional strengthening strategies usually lead to a trade‐off with refrigeration capacity reduction. Here, a novel design is presented to overcome this dilemma by forming dual‐phase alloys through in‐situ precipitation of a tough magnetic refrigeration phase within an intermetallic compound with excellent MCE. In the alloy 87.5Gd‐12.5Co, incorporating the interconnected tough phase Gd contributes to enhanced strength (≈ 505 MPa) with good ductility (≈ 9.2%). The strengthening phase Gd simultaneously exhibits excellent MCE, enabling the alloy to achieve a peak refrigeration capacity of 720 J∙kg−1. Moreover, the alloy shows low thermal expansion induced by the synergistic effect of the two phases. It is beneficial for maintaining structural stability during heat exchange in magnetic refrigeration. The coupling interaction between the two magnetic phases can broaden the refrigeration temperature range and reduce hysteresis. This study guides the development of new high‐performance materials with an excellent combination of mechanical and magnetic refrigeration properties as needed for gas liquefaction and refrigerators.This article is protected by copyright. All rights reserved

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Designed materials with the giant magnetocaloric effect near room temperature

Cited by 91 publications

References 70 publications

Artificial intelligence for search and discovery of quantum materials

Artificial intelligence for search and discovery of quantum materials

Viable Materials with a Giant Magnetocaloric Effect

Design of Excellent Mechanical Performances and Magnetic Refrigeration via In Situ Forming Dual‐Phase Alloys

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