Press Release

Press Release Update

• 
  2019.07.09

  NIMS Award 2019 Goes to Prof. Gerbrand Ceder and Dr. Pierre Villars

• 
  2019.06.26

  Successful application of machine learning in the discovery of new polymers

• 
  2019.05.22

  Nanoscale Visualization of the Distribution and Optical Behavior of dopant in GaN

  —Significant Advances in the Understanding of P-Type GaN Semiconductor Formation Mechanisms and Techniques Enabling Mass Production of GaN Devices—
• 
  2019.03.22

  Photoelectric Detection of Individual Nitrogen-Vacancy Centers in Diamond

  —Technique May Be Applicable to the Development of Quantum Sensors Capable of Nanoscale Spatial Resolution at Room Temperature—
• 
  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—