Technology
T e c h n o l o g y
Development
UJ-Crystal’s crystal development
Fast
Machine
Learning
Beautiful
Crystal Devlopment
Smart
Simulation
The best quality in the world.
The best quality in the world.
The Most Beautiful
Crystal Development
The “solution growth method” that can achieve ultra-high quality
UJ-Crystal’s solution-growth method, in which crystals are gradually grown from a liquefied Si-C solution at high temperature, enables the stable production of ultra-high quality SiC wafers, which not only improves the performance of power devices but also reduces device costs.
The Smartest
Digital Twin on 3D Simulation
The visualization of the inside of a reactor through simulation
Simulations are performed under experimental conditions obtained through AI and machine learning.
By visualizing the conditions inside the furnace during the experiment, which are normally invisible, we are actively using this information to search for more optimal growth conditions, understand crystal growth experiments, and train human resources.
The Fastest
Machine Learning
Unparalleled development speed using AI and machine learning
Various parameters in the solution growth method are highly optimized by machine learning. These AI methods were developed at Nagoya University and are unique to us.
By conducting experiments under the experimental conditions obtained by AI and machine learning, we are able to significantly shorten development time and reduce development costs.
The Most Beautiful
Crystal Development
The “solution growth method” that can achieve ultra-high quality
UJ-Crystal’s solution-growth method, in which crystals are gradually grown from a liquefied Si-C solution at high temperature, enables the stable production of ultra-high quality SiC wafers, which not only improves the performance of power devices but also reduces device costs.
The Smartest
Digital Twin on 3D Simulation
The visualization of the inside of a reactor through simulation
Simulations are performed under experimental conditions obtained through AI and machine learning.
By visualizing the conditions inside the furnace during the experiment, which are normally invisible, we are actively using this information to search for more optimal growth conditions, understand crystal growth experiments, and train human resources.
The Fastest
Machine Learning
Unparalleled development speed using AI and machine learning
Various parameters in the solution growth method are highly optimized by machine learning. These AI methods were developed at Nagoya University and are unique to us.
By conducting experiments under the experimental conditions obtained by AI and machine learning, we are able to significantly shorten development time and reduce development costs.
About
What is SiC Wafer?
SiC wafers are substrates made from silicon and carbon. Compared to conventional silicon, SiC wafers have higher thermal conductivity and a wider band gap, enabling stable operation at high temperatures and high power control.
As a result, it is used for high-performance electronic devices such as power semiconductors and high-frequency devices,
They are expected to play an active role in the fields of electric vehicles and renewable energy.
Environment
Development environment based at Nagoya University
UJ-Crystal’s core technology, SiC wafer development by solution growth method, has been researched and developed at Ujihara Laboratory of Nagoya University for many years.
Today, the laboratory, the university, UJ-Crystal, and related companies continue to work together in the daily pursuit of higher crystal quality and more stable crystal production methods.
CONTACT
Please contact us for product purchases, business partnerships, and financial support.
CONTACT
Please contact us for
product purchases, business partnerships, and financial support.