Press releases

Discovery of a New Lasing Phenomenon in Honeycomb Structure

—Topology Induces Wave Confinement, Shining Light to the Development of Groundbreaking Microlaser Technologies—

Differentiation of Stem Cell into Neurons on an Interfacial Protein Nanolayer

—Deformable and Dynamic Scaffolds Can Offer an Alternative Approach in Regenerative Medicine to Regulate Stem Cell Differentiation without Expensive Reagents—

Development of a Novel Nanosheet with Adjustable Electrical Conductivity

—Unique Hydrogen-Boron Structure Capable of Adsorbing Organic Molecules May Be Applicable to the Development of Molecular Sensors and Catalysts—

Artwork with Nonvolatile Soft Display, Expressing Color Gradation

Brain-like Functions Emerging in a Metallic Nanowire Network

—Emerging Fluctuation-based functionalities are Expected to Open a Way to Novel Memory Device Technology—

High-performance Anode for All-solid-state Li Batteries is Made of Si Nanoparticles

—Large Volume Expansion during Charging, the Obstacle to Using Si Anodes in Conventional Liquid Electrolytes, Helps a Si Anode Composed of Nanoparticles in Solid Electrolytes Has High-Rate Discharge Capability Approaching Those of Si Films—

Development of High Entropy Alloys Exhibiting Shape Memory Effect

XenonPy.MDL—Comprehensive Library of Pre-trained Models for Predicting Materials Properties

—Transfer Learning May Serve as a Solution to the Scarcity of Materials Property Data—

Development of a Stretchable Vibration-Powered Device Using a Liquid Electret

—Towards Healthcare-Applicable Heartbeat and Pulse Sensors—

Development of a Highly Durable and Water-Repellent Material Inspired by Porcupinefish

—Abrasion-Resistant and Flexible, It May Be Used to Protect Various Structural Materials—

Development of Brace-Type Seismic Dampers with dramatically improved fatigue-resistance

A Spectroscopic Infrared Sensor with World-Class Wavelength Resolution

—Realizing 50nm Resolution and ±1° Sensing Angle Towards the Development of Advanced Temperature and Position Sensors—

Development of the First Thermoelectric Module Composed Entirely of Abundant Elements

—Significant Advances in the Development of IoT Devices Equipped with Autonomous Power Supply Units—

Colloidal Wound Dressing Capable of Reducing Inflammation after Cancer Surgery

—Hydrophobized Porcine Gelatin with Greatly Enhanced Adhesion Strength Can Be Applied Using an Endoscope, Preventing Severe Complications—

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

Successful application of machine learning in the discovery of new polymers

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—

New NIMS Data Sheets Released

—Five Publications Include a Corrosion Data Sheet Covering the Results of Carbon Steel Atmospheric Exposure Tests Conducted at 16 Japanese Sites—

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—

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—

Discovery of Significant Increase in Thermoelectric Performance in Ferromagnetic Materials

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

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

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

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—

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

— For Accelerating Materials Data Sciences—

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—