Research Facility

Computational Resources

Advanced Computational Resources for Optoelectronic Design and Materials Science:

High-Performance Workstation: Our workstation is equipped with advanced processors, substantial RAM, and a robust graphics card. This setup is optimized for conducting intensive simulations, data analysis, and handling complex computational tasks efficiently, making it ideal for material science research and optoelectronic design.
Supercomputer Access: We have access to a supercomputer for large-scale computational tasks beyond the capability of standard workstations. This resource is essential for parallel computations, extensive simulations, and managing vast datasets, especially useful in fields requiring extensive computational power, such as large-scale material modeling and optoelectronic device optimization.
MedeA VASP Integration: The core of our simulation suite, MedeA VASP, offers a robust platform for atomic-scale material modeling, essential for studying a wide range of material properties and behaviors using quantum mechanics.
Interface Builder and Phonon Analysis: Integrated within MedeA VASP, the Interface Builder tool allows for precise construction and analysis of material interfaces at the atomic level. Phonon calculations provide insights into vibrational properties of materials, essential for understanding thermal and electron-phonon interactions.
Ray-Tracing and Computational Electromagnetism: Our suite includes ray-tracing tools for modeling light propagation and interaction, and computational electromagnetism tools for simulating electromagnetic fields in optoelectronic devices. These are crucial for designing and optimizing optical components and photonic devices.
Programming Tools for LED Optimization: Matlab, Python, and C++ are employed for white LED optimization. These tools offer a comprehensive approach to various aspects of LED optimization, from initial design and modeling to performance analysis and tuning.

This ensemble of computational resources, combining high-performance computing with specialized software and tools, enables us to undertake cutting-edge research and development in optoelectronic design and materials science. The integration of these resources provides a robust platform for both atomic-scale studies and macroscopic device optimization, addressing complex challenges in the field of optoelectronics.

Materials Growth and Device Fabrication Facility (PI's LAB: NAKA Hall 235)