Overview of the research
Research Overview
Our laboratory is dedicated to the design and discovery of innovative materials and devices that will support future society by integrating mechanics of materials, computational physics, data science, and artificial intelligence (AI).
We address some of the most pressing scientific and technological challenges facing humanity, including space exploration, carbon neutrality, next-generation AI, and quantum computing. By leveraging state-of-the-art supercomputing and AI technologies, we investigate phenomena spanning from the atomic scale to the macroscopic scale and develop novel materials with unprecedented functionalities.
Research Topics
🚀 Innovative Materials for Exploring the Frontiers of Space
We study self-healing materials and ultra-high-strength materials capable of withstanding extreme conditions such as severe mechanical stresses and external fields.
Our goal is to develop next-generation materials that will enable future space exploration missions and advanced aerospace systems.
🌱 Energy Materials for a Carbon-Neutral Society
We develop energy-harvesting materials that convert unused ambient energy—such as vibration, heat, and light—into electrical power.
Through these efforts, we aim to contribute to sustainable energy technologies and a carbon-neutral future.
⚛️ Quantum Materials Science for the Age of AI and Quantum Computing
We explore novel functional materials and quantum devices that exploit quantum phenomena emerging in the world of atoms and electrons on the nanometer scale.
Our research seeks to establish breakthrough technologies for next-generation AI systems, quantum computing, and beyond.
🧩 Materials that Compute: Toward Intelligent Matter
To realize future intelligent systems in which materials themselves can process and learn information, we investigate neuromorphic and intelligent materials based on skyrmions, where geometry and material functionality are intimately coupled.
This research opens new interdisciplinary frontiers bridging mechanics, geometry, condensed matter physics, and information science.
🤖 Data-Driven Materials Discovery with Supercomputing and AI
We utilize supercomputers, machine learning, and proprietary theoretical-physics-based datasets developed in our laboratory to dramatically accelerate materials discovery, which has traditionally relied heavily on trial-and-error and empirical intuition.
Our vision is to establish next-generation materials design methodologies by integrating theory, computation, and artificial intelligence.
Research Methodologies
Our research employs a wide range of advanced computational and data-driven techniques, including:
- First-Principles Calculations (Density Functional Theory)
- Molecular Dynamics Simulations
- Phase-Field Modeling
- Finite Element Analysis
- Machine Learning and Artificial Intelligence
- Large-Scale Data Science
- High-Performance and Supercomputing
A distinctive feature of our laboratory is our multiscale approach, which provides a unified framework spanning from atomic-scale phenomena to practical device-scale applications.
Message to Prospective Students
Our laboratory is committed to providing an environment in which undergraduate and graduate students can actively engage in cutting-edge research at the forefront of science and technology.
We place particular emphasis on the education and training of doctoral students, and we are dedicated to nurturing future researchers and highly skilled professionals who can contribute on the international stage.
If you:
- want to discover and design new functional materials,
- are excited about AI, quantum technologies, and computational science,
- aspire to conduct research that can transform the future,
we warmly welcome you to join our team.
Let us explore the frontiers of science and technology together!