The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinat...The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinatorial explosion for multielement systems and limited experimental throughput.In this study,we identify new materials exhibiting large AHE in heavy-metal-substituted Fe-based alloys using a high-throughput materials exploration method that combines deposition of compositionspread films using combinatorial sputtering,photoresist-free facile multiple-device fabrication using laser patterning,simultaneous AHE measurement of multiple devices using a customized multichannel probe,and prediction of candidate materials using machine learning.Based on experimental AHE data on Fe-based binary system alloyed with various single heavy metals,we perform machine learning analysis to predict the Fe-based ternary system containing two heavy metals for larger AHE.We experimentally confirm larger AHE in the predicted Fe–Ir–Pt system.Using scaling analysis,we reveal that the enhancement of AHE originates from the extrinsic contribution.展开更多
Metallic glasses(MGs)or amorphous alloys are an important engineering material that has a history of research of about 80–90 years.While different fast cooling methods were developed for multi-component MGs between 1...Metallic glasses(MGs)or amorphous alloys are an important engineering material that has a history of research of about 80–90 years.While different fast cooling methods were developed for multi-component MGs between 1960s and 1980s,1990s witnessed a surge of research interest in the development of bulk metallic glasses(BGMs).Since then,one central theme of research in the metallic-glass community has been compositional design that aims to search for MGs with a better glass forming ability,a larger size and/or more interesting properties,which can hence meet the demands from more important applications.In this review article,we focus on the recent development of chemically complex MGs,such as high entropy MGs,with new tools that were not available or mature yet until recently,such as the state-of-the-art additive manufacturing technologies,high throughput materials design techniques and the methods for big data analyses(e.g.machine learning and artificial intelligence).We also discuss the recent use of MGs in a variety of novel and important applications,from personal healthcare,electric energy transfer to nuclear energy that plays a pivotal role in the battle against global warming.展开更多
基金supported by JST CREST(Grant No.JPMJCR21O1)JST ERATO“Magnetic Thermal Management Materials Project”(Grant No.JPMJER2201)+1 种基金MEXT Program:Data Creation and Utilization-Type Material Research and Development Project(Digital Transformation Initiative Center for Magnetic Materials.Grant No.JPMXP1122715503)JSPS KAKENHI Grants-in-Aid for Scientific Research(B)(Grant Nos.JP21H01608 and JP24K00932).
文摘The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinatorial explosion for multielement systems and limited experimental throughput.In this study,we identify new materials exhibiting large AHE in heavy-metal-substituted Fe-based alloys using a high-throughput materials exploration method that combines deposition of compositionspread films using combinatorial sputtering,photoresist-free facile multiple-device fabrication using laser patterning,simultaneous AHE measurement of multiple devices using a customized multichannel probe,and prediction of candidate materials using machine learning.Based on experimental AHE data on Fe-based binary system alloyed with various single heavy metals,we perform machine learning analysis to predict the Fe-based ternary system containing two heavy metals for larger AHE.We experimentally confirm larger AHE in the predicted Fe–Ir–Pt system.Using scaling analysis,we reveal that the enhancement of AHE originates from the extrinsic contribution.
基金Y Y acknowledges financial support provided by the Research Grants Committee(RGC),the Hong Kong government,the General Research Fund(GRF)with Grant Nos.CityU11200719 and CityU11213118also by the City University of Hong Kong through an internal grant with Grant No.7005438.
文摘Metallic glasses(MGs)or amorphous alloys are an important engineering material that has a history of research of about 80–90 years.While different fast cooling methods were developed for multi-component MGs between 1960s and 1980s,1990s witnessed a surge of research interest in the development of bulk metallic glasses(BGMs).Since then,one central theme of research in the metallic-glass community has been compositional design that aims to search for MGs with a better glass forming ability,a larger size and/or more interesting properties,which can hence meet the demands from more important applications.In this review article,we focus on the recent development of chemically complex MGs,such as high entropy MGs,with new tools that were not available or mature yet until recently,such as the state-of-the-art additive manufacturing technologies,high throughput materials design techniques and the methods for big data analyses(e.g.machine learning and artificial intelligence).We also discuss the recent use of MGs in a variety of novel and important applications,from personal healthcare,electric energy transfer to nuclear energy that plays a pivotal role in the battle against global warming.
