High-throughput compatible approach for entropy estimation in magnetocaloric materials: FeRh as a test case

被引:12
|
作者
Vieira, R. Martinho [1 ]
Eriksson, O. [1 ,2 ]
Bergman, A. [1 ]
Herper, H. C. [1 ]
机构
[1] Uppsala Univ, Dept Phys & Astron, Box 516, SE-75120 Uppsala, Sweden
[2] Orebro Univ, Sch Sci & Technol, SE-70182 Orebro, Sweden
基金
瑞典研究理事会;
关键词
FeRh; Magnetocalorics; Entropy; Phase transition; DFT; GENERALIZED-GRADIENT-APPROXIMATION; 1ST-PRINCIPLES CALCULATIONS; ULTRASOFT PSEUDOPOTENTIALS; MAGNETIC TRANSITION; ELASTIC PROPERTIES; PHASE-TRANSITION; METALS; ALLOYS; BEHAVIOR; MOMENTS;
D O I
10.1016/j.jallcom.2020.157811
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Aiming to predict new materials for magnetic refrigeration from high-throughput calculations asks for an accurate, transferable, and resource-wise balanced approach. Here, we analyze the influence of various approximations on the calculation of key properties of magnetocaloric materials, while revisiting the well-known FeRh system for benchmarking our approach. We focus on the entropy change and its contributions from the electronic, lattice, and magnetic degrees of freedom. All approximations considered are based on first-principles methods and have been tested, and compared for FeRh. In particular, we find that in this context, the Debye approximation for the lattice entropy fails, due to the presence of soft phonon modes in the AFM phase. This approximation is frequently used in the literature as a simple alternative to full phonon calculations. Since soft modes are likely to occur also among promising magnetocaloric materials where structural transformations are common, the use of the Debye approximation should be discarded for these systems treatment. This leaves the calculations of the lattice contribution the most demanding task from the computational point of view, while the remaining contributions can be approximated using more efficient approaches. The entropy change AS shows a peak around 370 K, for which the total entropy change is given by 24.8 JK(-1) kg(-1) (Delta S-ele = 7.38, Delta S-lat = 7.05, Delta S-mag = 10.36 JK(-1) kg(-1)) in good agreement with previous theoretical and experimental findings. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] High-throughput characterization of the adiabatic temperature change for magnetocaloric materials
    Wang, Kun
    Ouyang, Yi
    Shen, Yi
    Zhang, Yifei
    Zhang, Mingxiao
    Liu, Jian
    JOURNAL OF MATERIALS SCIENCE, 2021, 56 (03) : 2332 - 2340
  • [2] High-throughput characterization of the adiabatic temperature change for magnetocaloric materials
    Kun Wang
    Yi Ouyang
    Yi Shen
    Yifei Zhang
    Mingxiao Zhang
    Jian Liu
    Journal of Materials Science, 2021, 56 : 2332 - 2340
  • [3] A High-Throughput Approach to Designing Materials
    不详
    CHEMICAL ENGINEERING PROGRESS, 2016, 112 (11) : 15 - 15
  • [4] High-Throughput Screening of High-Performance Magnetocaloric Materials by Gradient Additive Manufacturing
    Xie, Longlong
    Liang, Chenguang
    Qin, Yazhou
    Zhou, He
    Yu, Ziyuan
    Chen, Haodong
    Naeem, Muhammad Zeeshan
    Qiao, Kaiming
    Wen, Yaojie
    Zhang, Baicheng
    Wang, Gaofeng
    Li, Xiao
    Liu, Jian
    Franco, Victorino
    Chu, Ke
    Yi, Min
    Zhang, Hu
    ADVANCED FUNCTIONAL MATERIALS, 2024,
  • [5] High-throughput compatible EST assay
    Stroebel, Simon
    Lichtenberg, Jan
    Moritz, Wolfgang
    Kelm, Jens M.
    TOXICOLOGY LETTERS, 2013, 221 : S213 - S213
  • [6] High-Throughput Design of Magnetocaloric Materials for Energy Applications: MM′X alloys
    Fortunato, Nuno M.
    Taubel, Andreas
    Marmodoro, Alberto
    Pfeuffer, Lukas
    Ophale, Ingo
    Ebert, Hebert
    Gutfleisch, Oliver
    Zhang, Hongbin
    ADVANCED SCIENCE, 2023, 10 (17)
  • [7] Machine-learning and high-throughput studies for high-entropy materials
    Huang, E-Wen
    Lee, Wen-Jay
    Singh, Sudhanshu Shekhar
    Kumar, Poresh
    Lee, Chih-Yu
    Lam, Tu-Ngoc
    Chin, Hsu-Hsuan
    Lin, Bi-Hsuan
    Liaw, Peter K.
    MATERIALS SCIENCE & ENGINEERING R-REPORTS, 2022, 147
  • [8] Development of a Solvent-Compatible High-Throughput Static Filtration Test Equipment
    El Fadil, Abdelhakim
    Chojecki, Adam
    Bashir, Mubasher Ahmed
    Van Son, Perry
    Vankelecom, Ivo F. J.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2022, 61 (48) : 17607 - 17614
  • [9] High-throughput search for caloric materials: the CaloriCool approach
    Zarkevich, N. A.
    Johnson, D. D.
    Pecharsky, V. K.
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2018, 51 (02)
  • [10] A High-Throughput Hardware Accelerator for Network Entropy Estimation Using Sketches
    Soto, Javier E.
    Ubisse, Paulo
    Fernandez, Yaime
    Hernandez, Cecilia
    Figueroa, Miguel
    IEEE ACCESS, 2021, 9 (09): : 85823 - 85838