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New Research Results

Superconducting Tape 03/05/2018

World’s Highest Critical Current Density in Magnetic Field Realized by Low Cost High Temperature Superconducting Tape
– Promoting practical applications of high-temperature superconductivity –

AIST has developed yttrium-based oxide superconducting tapes that allow large critical current capacity in a strong magnetic field. AIST has improved the characteristics of the yttrium-based oxide superconducting tapes by fabricating ultra-fine artificial pinning centers (APCs) with uniform dispersion and high density using a chemical solution decomposition method which costs less than vapor phase methods. This has achieved a maximum critical current density of 4 mega-amperes that can flow while maintaining the superconducting state (at liquid nitrogen temperature, 65 K, per 1 cm2 in a magnetic field of 3T), and the critical current value exceeds 360 amperes.

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RNA reference material 5/26/2017

Development of Artificial Nucleic Acid Reference Materials for Accuracy Control of Microbiome Analysis
– Contribution to highly reliable microbiota analysis by next-generation sequencing –

AIST has developed artificial nucleic acid reference materials as internal standards for accuracy control of analysis of microbiomes by next-generation sequencing. The 16S rRNA gene is widely used for the phylogenetic classification of microorganisms. AIST researchers designed artificial 16S rRNA reference materials to be amplified by PCR and to allow the amplified base sequences to be differentiated from natural genes during data analysis, and produced twelve types of the reference materials. When a mixture of the reference materials is used as an internal standard for microbiome analysis, the accuracy of the obtained base sequences can be evaluated and the performance of quantitative analysis can be controlled.

Figure of Developed artificial nucleic acid reference materials and a mixture of the reference materials

Infrastructure inspection 04/06/2018

Development of a Hammer Testing System Based on AI to Prevent Oversight in Inspections
– An anomaly map of infrastructure is automatically generated to improve the efficiency of inspections –

AIST has developed an AI system to learn, through machine learning, differences in the hammering echoes of infrastructure to detect anomalies automatically. Unusual sound analysis technology determines whether there is an anomaly. Upon detection, the anomaly is shown to the inspector in real time. An anomaly map is generated upon completion of the hammer test. Testing can be performed even if sufficient data are not available in advance.

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Shielding paint 06/12/2018

Electromagnetic Wave Shielding by a Paint with Carbon Nanotubes
– Development of electromagnetic wave shielding paint films on various base materials that are usable even in harsh environments –

Using the Super-Growth single-wall carbon nanotubes, AIST has developed an aqueous paint that can be formed into a thin film with a strong shielding effect against electromagnetic waves. The developed aqueous paint can be applied on a wide variety of base materials. The formed film is flexible and resistant to bending, and it can follow deformation of the base material.

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Static electricity scanner 06/06/2018

Static Electricity Scanner for Visualizing Surface Potential Distribution
– Facilitating evaluation and management of static electricity of products –

AIST has developed a liner array sensor which comprises 30 capacitance type microsensors and a high-speed signal processing apparatus. Using the array sensor and the processing apparatus, a system with high-speed scanning of an object surface at a speed of 15 mm/s and capable of visualizing distribution of surface potential at a spatial resolution of 1 mm has been developed.

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Sensing using drone 06/01/2018

Aiming to Probe for Buried Vehicles Using a Drone After Landslides
– Successful experiment identifying vehicle positions with a suspended electromagnetic sensor –

AIST has developed a system to probe from the air for vehicles buried by landslides. The system consists of a drone and an electromagnetic prospecting sensor. It is capable of both comprehensive probing in automatic flight and precise probing in manual flight. AIST conducted verification tests on an experiment site where vehicles were actually buried, and succeeded in identifying the position of a buried vehicle.

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Emission Mechanism 03/09/2018

Mystery of the Emission Mechanism of Materials for Next-Generation Organic Light-Emitting Diodes Unveiled!
–Towards low-cost organic light-emitting diodes –

AIST has elucidated the emission mechanism of the materials for next-generation organic light-emitting diodes, namely thermally activated delayed fluorescent materials, using an advanced spectroscopic technique developed by AIST. The materials were designed and developed by Kyushu University. A group of molecules with high emission efficiency has a characteristic molecular structure. The spectroscopic technique used will be sophisticated further to observe the emission process in detail.

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