<i>Ab initio</i>, artificial neural network predictions and experimental synthesis of mischmetal alloying in Sm–Co permanent magnets-Reference-Cited by-同舟云学术

Ab initio, artificial neural network predictions and experimental synthesis of mischmetal alloying in Sm–Co permanent magnets

Published:2022 Issue:15 Volume:14 Page:5824-5839
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Giaremis Stefanos¹^ORCID,Katsikas Georgios¹,Sempros Georgios¹^ORCID,Gjoka Margarit²,Sarafidis Charalambos¹^ORCID,Kioseoglou Joseph¹^ORCID

Affiliation:

1. School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

2. Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Athens, Greece

Abstract

The partial substitution of Sm with mischmetal is investigated, by ab initio calculations, machine learning techniques and experimental synthesis, characterization.

Funder

Hellenic Foundation for Research and Innovation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NR/D2NR00364C

Reference85 articles.

1. A Family of New Cobalt‐Base Permanent Magnet Materials

2. A new strategy to synthesize anisotropic SmCo5 nanomagnets

3. Designing shape anisotropic SmCo5 particles by chemical synthesis to reveal the morphological evolution mechanism

4. Chemically synthesized anisotropic SmCo5 nanomagnets with a large energy product

5. Dispersible SmCo5 nanoparticles with huge coercivity

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nanocrystalline SmCo12 main-phase alloys with V-doping: Structure stability and magnetic performance;Journal of Materials Science & Technology;2025-03

2. Towards Production of Cost-Effective Modification of SmCo5-Type Alloys Suitable for Permanent Magnets;Materials;2024-02-07

3. ZIF-67 Anchored on MoS2/rGO Heterostructure for Non-Enzymatic and Visible-Light-Sensitive Photoelectrochemical Biosensing;Biosensors;2024-01-12

4. A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition;AIP Advances;2024-01-01

5. Revisiting The Interfacial Microchemistry of Sm 2 Co 17 -Type Cellular Structures from First Principles Investigations;2024