Press Release

Press Release Update

• 
  2019.03.19

  Significant Increase in Power Output of Thermoelectric Materials Using Machine Learning

  —New Approach to Chemical Composition Optimization May Expedite Practical Use of Thermoelectric Materials Composed of Abundant Elements—
• 
  2019.03.05

  Discovery of Significant Increase in Thermoelectric Performance in Ferromagnetic Materials

  —New Approach to Increasing Thermoelectric Performance at Near Room Temperature—
• 
  2019.02.19

  Publication of Big Data on a Photovoltaic Microgrid Equipped with Rechargeable Batteries

  —Actual Operational Data May Assist Design of Advanced Energy Management Systems—
• 
  2019.02.19

  Development of a Surgical Sealant Capable of Preventing Air Leaks in Inflated Lungs

  —Chemically Modified Alaska Pollock Gelatin Proven to be Effective in Sealing Isolated Porcine Lungs, Ready for Preclinical Evaluation—
• 
  2019.01.30

  Public Release of Metadata Extraction and Conversion Tools for Caracterization Meaurement Data with Machine-readability via M-DaC

  — For Accelerating Materials Data Sciences—
• 
  2019.01.23

  Design and Validation of World-Class Multilayered Thermal Emitter Using Machine Learning

  —Selection of an Optimum Structure from Approximately Eight Billion Candidates May Make Society More Energy Efficient—