With the recent increase in demand for electronic devices, multi-layer ceramic capacitors (MLCCs) have become the most important core component. In particular, the next-generation MLCC with extremely high reliability is required for the 4th industrial revolution and electric vehicle applications. Therefore, it is necessary to develop dielectric ceramic materials with high dielectric properties and reliability. During the decades, electrical properties of BaTiO3 based dielectric ceramics, which have been widely used in MLCC industrial field, have been improved by microstructure and defect chemistry control. However, electrical properties of BaTiO3 have reached their limits, and new types of dielectric materials have been widely studied. Based on these backgrounds, this report presents the recent development trends of BaTiO3-based dielectric materials for the nextgeneration MLCCs, and suggests promising candidates to replace BaTiO3 ceramics.

Recent advancement of Internet of Things (IoT) and energy harvesting technology enable realization of flexible thermoelectric energy harvester (f-TEH), with technological prowess for use in biomedical monitoring system integrated applications. To expand a flexible thermoelectric energy harvesting platform, the f-TEH must be required for optimized flexible thermoelectric materials and device structure. In response to these demands related to thermoelectric energy harvesting, many research groups have investigated various f-TEHs applied as a power source for wearable electronics. As a key member of the f-TEH, film-based f-TEHs possess significant applicability in research to realize self-powered wearable electronics, owing to their excellent flexibility, low thermal conductivity, and convenient fabrication process. Thus, based on the rapid growth of thermoelectric film technology, this review aims to overview comprehensively the f-TEH made of various inorganic/organic thermoelectric materials including developed fabrication methods, high thermoelectric performance, and wide-range applications.

This paper describes why we must use graphene materials for solar cells and biosensors. It has been superior in several properties such as super-thin film, higher tensile strength, high current density, high thermal conductivity, and high mobility. Therefore, graphene is one of the emerging advanced materials because of its applicability in various electronic device applications. We investigated the requirements of graphene materials for the application of solar cells and biosensors. In addition, we discussed the research trends such as transducers in biosensors and transparent electrodes in solar cells. The research on graphene materials and their application will be beneficial and helpful for the near future.

기존의 시행착오를 거쳐 소재를 개발하는 방법은 조금씩 한계를 보이고 있는데, 왜냐하면 산업과 기술이 고도화되고 기능성 소재가 가져야 하는 특성은 복잡해지면서 그 요구치가 높아지고 있기 때문이다. 이를 극복하기 위해 데이터 기반의 인공신경망으로 복잡한 소재 공간을 빠르게 탐색하여 소재 개발을 가속화하고자 하는 연구들이 진행되고 있다. 특히 결정그래프 합성곱 인공신경망은 결정 소재의 구조에 따른 특성을 학습하는 인공신경망으로 소재의 특성(생성 에너지, 밴드갭, 부피 탄성 계수 등)을 양자역학 기반의 제일원리 계산보다 빠르게 예측한다. 본 논문에서는 46,629개의 결정구조 데이터와 그 생성 에너지를 공공데이터베이스에서 불러와 결정그래프 합성곱 인공신경망 모델을 학습시키고 이를 특성 예측에 적용해 보는 예제를 설명한다. 이를 통해 간단한 프로그래밍 지식으로 소재 특성 예측모델을 재현해 보고 원하는 데이터 셋과 연구 분야에 적용할 수 있을 것으로 기대된다. 인공지능 모델의 개발은 앞으로 더 복잡한 특성을 가져야만 하는 소재의 개발을 위해 넓은 범위의 소재를 탐색해야만 하는 과정을 획기적으로 단축시켜 소재 개발의 가속화를 촉진시킬 것으로 생각된다.

As industry and technology go through advancement, it is hard to search new materials which satisfy various standards through conventional trial-and-error based research methods. Crystal Graph Convolutional Neural Network(CGCNN) is a neural network which uses material's features as train data, and predicts the material properties(formation energy, bandgap, etc.) much faster than first-principles calculation. This report introduces how to train the CGCNN model which predicts the formation energy using open database. It is anticipated that with a simple programming skill, readers could construct a model using their data and purpose. Developing machine learning model for materials science is going to help researchers who should explore large chemical and structural space to discover materials efficiently.

For the purpose of treating health checkups and recovery of patients in a super-aged society, hospitals use devices designed with a reduction circuit of electromagnetic waves associated with the specific absorption rate of electromagnetic waves absorbed by the human body. In this paper, we proposed a filter improvement design method capable of reducing electromagnetic waves. As a result of confirming the validity of the proposed technique through simulation and experimental results, the following result values were obtained. Applying the common-mode (CM) inductor 4 mH to a calibration circuit, noise decreased in a multiband spectrum. Using the differential mode(DM) inductor 40 μH element in the primary calibration circuit, the noise decreased by 15 dB or more in the 3 MHz band spectrum. Also, applying the Admittance Capacitance (Y-Cap) 10 nF element in the secondary calibration circuit resulted in the decrease by more than 30 dB in the band spectrum before 2 MHz. After using a common-mode inductor 4 mH element in the tertiary calibration circuit, it decreased by more than 15 dB in the band spectrum after 2 MHz.

In this paper, laser-induced fluorescence properties of four plastics were characterized through spectrometer analysis for real-time microplastic counting. Recently, environmental problems related to microplastics have emerged. In order to detect microplastics, analysis methods such as FT-IR and Raman are used. However, they have the disadvantages of being timeconsuming and requiring a pretreatment process. In most plastic products on the market, 10% to 30% of plasticizers and reinforcing agents are added. Therefore, most microplastics present in seawater and freshwater emit fluorescence signals by 270 nm UV light source regardless of their type due to their molecular structure due to additives. Real-time microplastics counting is possible more easily by using the proposed laser-induced fluorescence detection method because of the fluorescence expression characteristic of 340 nm that appears due to the plasticizer of plastics.

Smart livestock, which combines information and communication technology (ICT) with livestock, can be said to be an effective solution to existing livestock problems such as productivity improvement, odors, and diseases. So far, it has hardly been universalized; thus, it is necessary to develop automation devices to reduce labor by localizing automation devices to expand the distribution of ICT technology to farms, and to advance precise specifications and health management technology using biometric information. Weighing scales currently being used in livestock farms are to prevent the spread of diseases by diagnosis and preparation for AI and other diseases in advance, using information on the growing weight of duck breeding. However, accurate values cannot be obtained due to poor breeding conditions. In this paper, we developed a separate data transmission system kit for the weighing scale and placed the sensor on top of the weighing scale so that the sensor wire is not affected by pollutants or ducks on the floor. A display function was provided, and a method of receiving and analyzing the serial port data of the weighing device, and then transmitting them to the data collection server was implemented.

In this paper, through the development of a smart panel (LCD kiosk) controller, contents to develop a system that can be operate in a desired environment by operating the window control and ventilation facilities according to the automatic controller operation based on the set values such as temperature, humidity, sunlight, and rainfall. In particular, the MQTT protocol-based sensor module can be directly manufactured and applied at any time based on various communication and power sources such as wireless, wired, and PLC (power line communication) to obtain the desired data, as well as fire, power failure, and intrusion in the house. It is also a system that enables operation and monitoring from a remote location based on the cloud environment by connecting sensors. Kiosks are currently being used in many places, and the demand for them is on the rise, and an active influx of young people can be expected through environmental improvement. It is expected to increase interest and understanding for improvement.

The SiO2/TiO2 multilayer thin films used for narrow band pass filter were fabricated using E-beam evaporation method. The narrow band pass filter was used to enhance the resolution of spectroscopy and sensor applications with near infrared (NIR) light source. The narrow band pass filter with multilayer thin films were designed with Essential Macleod program. The multilayers of SiO2/TiO2 with 32 layers were deposited on the silicon encapsulation of IR with peak wavelength (λp) of 660 nm and NIR LEDs with λp of 830 nm, 880 nm, and 955 nm. After NIR light passed through the narrow band pass filter, the full width of half maximum of 33.4~48.6 nm became narrow to 20~24 nm owing to the absorption of photons with short or long wavelength of designed band of 20 nm. The SiO2/TiO2 band pass filter fabricated in this study can be used for sensor, optoelectronics, and NIR spectroscopy applications.

The quench voltage of the second-generation superconducting wire is affected by the resistivity characteristics of the stabilization layer. The specific resistance of the stabilization layer can be changed by the deposition process using RF magnetron sputtering. In this paper, a thin film made of a homogeneous material (Ag) and a dissimilar material (Cu) was deposited on the stabilization layer of the second-generation superconducting wire through RF magnetron sputtering. We found that the specific resistance was reduced by increasing the thickness of the stabilization layer. The reduction in the resistivity of the stabilization layer led to a decrease in the quench voltage of the second-generation superconducting wire. We suggest that various characteristic changes of the second-generation superconducting wire can be expected through the successful change in the resistivity of the stabilization layer of the proposed deposition process.