Haoxin Mai

Dr. Haoxin Mai is a Research Fellow in the School of Science at RMIT University, focusing on advanced materials science and catalysis. His work emphasizes the design and application of photocatalysts, perovskite materials, and nanomaterials for energy storage, environmental remediation, and sustainable technologies. He leverages machine learning and computational methods to accelerate the discovery of novel materials. Current affiliations include RMIT’s City Campus, Australia, with active collaboration networks in materials research.

Research interests include:

• Development of lead-free perovskite photocatalysts
• Machine learning-driven materials design
• Synthesis of Magnéli phase titanium oxides and carbon nitride composites
• Applications in CO₂ reduction, water purification, and renewable energy systems

Notable research trends: Recent articles (2023–2025) highlight advancements in defect-engineered carbon nitride, data-driven perovskite phosphors, and atom substitution strategies for lead-free photocatalysts. His work bridges computational modeling with experimental synthesis, emphasizing sustainability and scalability.

Supervision projects:

• Electrode design for electrochemical CO₂ reduction
• Spatially orthogonal nanomaterials for catalytic cascades

Labs/Teams: His research is embedded within RMIT’s School of Science, collaborating on interdisciplinary projects involving nanomaterials and energy systems.