Pub Date : 2023-10-13DOI: 10.1109/LMAG.2023.3324517
Lei Wang;Duan Nie;Liye Cheng;Hongyue Wang
This letter presents a high-sensitivity composite probe capable of simultaneously measuring electric- and magnetic-field components. The composite probe contains a U-shaped loop, two parasitic long loops, and a pair of strip lines as a transmission part. First, the U-shaped loop is designed to test both electric and magnetic fields. Second, two parasitic long loops are placed at both sides of the U-shaped loop to increase the sensitivity. Third, to characterize and calibrate the probe, a standard microstrip line is manufactured and used. Finally, the developed probe is printed and tested to prove the feasibility of the design. The tested results indicate that the probe can not only simultaneously test electric and magnetic fields, but also have a wider working bandwidth and higher sensitivity.
这封信介绍了一种能够同时测量电场和磁场分量的高灵敏度复合探针。该复合探头包含一个 U 形环、两个寄生长环和一对作为传输部分的带状线。首先,U 型环设计用于测试电场和磁场。其次,在 U 型环的两侧设置了两个寄生长环,以提高灵敏度。第三,为了鉴定和校准探头,制造并使用了标准微带线。最后,对开发的探头进行打印和测试,以证明设计的可行性。测试结果表明,该探针不仅可以同时测试电场和磁场,而且具有更宽的工作带宽和更高的灵敏度。
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This letter summarizes the recent development of magnetic materials search using artificial intelligence (AI) and machine learning (ML) and briefly introduces ML and AI approaches to materials discovery. The authors offer a flowchart to aid the selection of relevant approaches for their material search. This letter also covers the authors' recent research activities in magnetism and quantum materials, including topological materials, Heusler alloys, interfaces, and permanent magnets. This overview is based on a recent symposium at IEEE Intermag 2023.
{"title":"Materials Informatics for the Development and Discovery of Future Magnetic Materials","authors":"Ryotaro Okabe;Mingda Li;Yuma Iwasaki;Nicolas Regnault;Claudia Felser;Masafumi Shirai;Alexander Kovacs;Thomas Schrefl;Atsufumi Hirohata","doi":"10.1109/LMAG.2023.3320888","DOIUrl":"10.1109/LMAG.2023.3320888","url":null,"abstract":"This letter summarizes the recent development of magnetic materials search using artificial intelligence (AI) and machine learning (ML) and briefly introduces ML and AI approaches to materials discovery. The authors offer a flowchart to aid the selection of relevant approaches for their material search. This letter also covers the authors' recent research activities in magnetism and quantum materials, including topological materials, Heusler alloys, interfaces, and permanent magnets. This overview is based on a recent symposium at IEEE Intermag 2023.","PeriodicalId":13040,"journal":{"name":"IEEE Magnetics Letters","volume":"14 ","pages":"1-5"},"PeriodicalIF":1.2,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10268090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135839038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, there has been a strong demand for soft magnetic films suitable for high-frequency micromagnetic devices as power electronics circuits to operate at higher frequencies. Specifically, there is a need for magnetic thin films with ferromagnetic resonance frequencies ( f