06
Computational
Science
| Group Leader: | Takao Inokuma, Ph.D. Professor |
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| Keywords: |
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Driving device performance through advanced material/structural design and the creation of novel functionalities
Accelerating Innovation: The Power of Simulation and Theory
While the experimental approach of growing wafers and fabricating devices is essential, it demands immense time and cost. Computational science plays a critical role in streamlining these experiments by analyzing and predicting everything from atomic-level behavior to overall device performance. In cutting-edge materials research, computation is positioned as the "third methodology"—alongside theory and experiment—indispensable for shortening development cycles and surpassing performance limits.
Our group specializes in elucidating the electronic states of impurities and vacancies in diamond, as well as the underlying mechanisms of device operation. Our core strength lies in our ability to integrate multiple advanced computational methods—including first-principles calculations, molecular dynamics (MD) simulations, and device simulations—to analyze atomic-level phenomena and complex electron behaviors that are difficult to observe experimentally.
Specific Research Themes
We focus on quantitatively predicting the formation mechanisms of crystal defects and their impact on electrical conductivity. These theoretical insights provide the growth conditions and optimal dopant arrangements for the Wafer/Crystal Growth group. Furthermore, in collaboration with the Logic and Power Device groups, we simulate the electrical and thermal characteristics of novel device architectures. By accurately predicting performance before the prototyping stage, we provide rapid feedback to the design process, ensuring a more strategic and efficient development path.
Vision: Strategic Acceleration via Computational Insight
By maximizing the power of computational science, we provide robust support to our experimental counterparts. We aim to strategically accelerate the R&D of diamond semiconductors through theoretical insight, driving toward the earliest possible social implementation of these next-generation technologies.
Group Members
Professor
Takao INOKUMA
Professor
Fumiyuki ISHII