Journal of the Korean Magneitcs Society, 30 Aug 2021, Vol.31 , No.4, pp.149-156
뫼스바우어 분광기를 이용한 양극물질의 자기 특성과 충/방전 메커니즘 관계에 대한 연구
The secondary battery industry is rapidly emerging as a new industry growth group to realize global eco-friendly policies and carbon neutrality. In particular, the cathode material, one of the main materials of secondary batteries, is a core material for the mobile, energy storage system (ESS), and electric vehicle industries. Therefore, the concept of cathode materials and oxidation/reduction reactions were introduced, and the magnetic properties of cathode materials were reviewed using Mössbauer spectroscopy. The charge/discharge mechanism is explained through the change of iron ions in the cathode material according to the charge/discharge process, the changes in the spectrum according to charge/discharge were also investigated through Mössbauer spectroscopy at low temperature. In addition to equipment for measuring electrochemical properties, the fusion of secondary batteries with equipment for measuring magnetic properties such as Mössbauer spectroscopy is expected to bring about the development of new cathode materials and secondary battery industries.
Journal of the Korean Magneitcs Society, 30 Aug 2021, Vol.31 , No.4, pp.157-171
국내 문화재의 뫼스바우어분광 적용
A study on the application of Mössbauer spectroscopy to Korean cultural properties, has been conducted for interpretation of ironcontaining mineral compositions, coloring factors, manufacturing technique, and provenance; such as Ulleungdo seokganju (natural red pigment), obsidian (Neolithic tool), Goryeo celadon, and black pottery. As reported, Mössbauer spectroscopic data provides newer and various information on the iron-containing cultural properties, further studies need to be applied to more various type of archaeological objects; such as earthen artifacts (additional ceramic wares by type and color, roof tiles, coffins, bricks and clay dolls), stone artifacts (royal seals, accessories in ornamental wares, glass beads), iron artifacts and objects (sword, tools, ore fragments, slags), and painted pigment (on the murals, painting, dancheong). In addition, it is expected that innovative research will be possible for more diverse cultural properties, via the application of the improved analyzing system, such as portable Mössbauer spectrometer.
Journal of the Korean Magneitcs Society, 30 Aug 2021, Vol.31 , No.4, pp.172-179
복합물성 물질(Emergent Materials)의 뫼스바우어 연구
Emergent materials that exhibit two or more complex properties are attracting attention as new functional materials and are being studied with the interest of many scholars. In particular, in multiferroic materials where ferroelectricity and magnetism coexist, it is very important to understand the interaction such as the reversible flipping of polarization (magnetization) actuated by magnetic (electric) field as well as the change of dielectric constant by applied magnetic field. The causes of physical properties resulting from the interaction of two or more order functions cannot be observed with conventional macroscopic magnetometry equipment. Thus, from the point of view of an atom that can measure electronic structure and energy level, quantum mechanical experiments that satisfy the uncertainty principle are essential. Here, I would like to introduce some examples of emergent materials researched through the Mösbauer spectroscopy experiment, a quantum mechanical experimental tool.
Journal of the Korean Magneitcs Society, 30 Aug 2021, Vol.31 , No.4, pp.180-187
Mn이 치환된 M형 Sr-육방정페라이트의 합성과 특성 평가
Mn-substituted M-type Sr-hexaferrites, SrFe12-
Journal of the Korean Magneitcs Society, 30 Aug 2021, Vol.31 , No.4, pp.188-195
머신러닝 기반 모바일 스마트폰 자기센서를 이용한 인간행동인식
As the performance of sensors embedded in mobile smart phones has improved, many studies using data collected from sensors are being conducted. In this study, using the data obtained from the 3-axis magnetic sensor mounted on the smartphone, a study on the recognition of four human activities was performed using machine learning. From the total data of the 3-axis magnetic sensor, the data was bundled into frames for 2 seconds, divided into several frames, and then supervised learning was carried out using it as an input to the convolutional neural network. The operation of the magnetic sensor depending on the direction was confirmed, and the human activity recognition for standing, sitting, walking, and jogging was verified.