We are a research team dedicated to advancing energy storage materials and technologies. Our work centers on the synthesis and design of cutting-edge solid electrolyte materials, alongside the development of scalable manufacturing methods to enable their practical implementation. Our approach is inherently interdisciplinary, bridging materials science, electrochemistry, mechanical engineering, and AI-assisted machine learning. We are particularly focused on the following research areas:
Research Interests
- Solid Electrolyte Synthesis: Development of oxides, halides, hydrides, polymer, and composite solid electrolytes.
- Battery Degradation Mechanisms: Investigation of degradation mechanisms to extend battery lifespan and improve energy efficiency.
- Mechanical Properties: Studying the mechanical properties that govern the safety, durability, and reliability of inorganic materials.
- Al-Assisted Machine Learning: Leveraging data-driven artificial intelligence (AI) frameworks that integrate battery materials databases with large language models and ab initio simulations to accelerate the design of next-generation battery materials.
