👋 About Me

Hi! I’m Dr. Bijun Tang, a Presidential Postdoctoral Fellow at the School of Materials Science and Engineering, Nanyang Technological University (NTU), Singapore. I also spent time as a visiting scientist at Rice University, USA. I earned both my BEng (First Class Honours) and PhD from NTU in 2017 and 2021.

My work sits at the exciting intersection of materials science and artificial intelligence (AI). I’m passionate about developing AI-driven tools and platforms to make the discovery and synthesis of new materials faster, smarter, and more efficient. While I focus a lot on 2D materials, my research also spans a range of low-dimensional and high-performance materials such as 0D nanoparticles, 1D nanoribbons, as well as 3D alloys and composites.

I’ve published over 30 peer-reviewed articles in leading journals like Nature, Nature Materials, Nature Electronics, Nature Communications, Advanced Materials, and Materials Today. My work has been cited more than 1,900 times, and I currently have an H-index of 20. I’ve led and co-led several major projects in AI for Materials Science (AI4MS), with total research funding exceeding S$5 million.

🔬 Research Interests

My research blends deep materials knowledge with cutting-edge AI techniques. I’m especially interested in:

• Creating and studying low-dimensional materials (like 2D sheets, 1D ribbons, and 0D dots) for various applications such as electronics and catalysis
• Using AI to guide the design and synthesis of new materials, from 0D quantum dots to 2D materials and now to 3D alloys
• Applying data-driven methods for phase control, property optimization, and multi-objective material design
• Building autonomous and explainable AI systems to speed up materials development with less trial and error

At the heart of it all, I’m working toward a future where discovering and making new materials becomes faster, more intelligent, and more insightful.

✨ Recent Highlights

• 🎤 Symposium Co-chair, FAPS 2025 – AI and Polymer Science (2025)
  Co-chairing a major symposium on AI-driven polymer innovation at the 9th Biennial Polymer Congress (FAPS 2025), NTU Singapore
  Symposium details →

• 🥇 AI2050 Early Career Fellow, Schmidt Sciences (2024)
  Only Asia-based recipient among 15 global fellows, first from NTU
  AI2050 Fellowship profile →

• 🎓 NTU Emerging Scientist Award (2024)
  Recognized as one of three female awardees at GLOW 2024

• 🧪 Forbes 30 Under 30 Asia, Healthcare & Science (2023)
  For pioneering the use of machine learning in materials discovery
  Forbes profile →

• 📄 Recent publications in leading journals:

  • Advanced Materials (2025):
    Amorphous high-entropy phosphide nanosheets with multi-atom catalytic sites for efficient oxygen evolution
  • Nature Communications (2024):
    Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots [AI for Materials Science]
  • Materials Today Chemistry (2025):
    Explainable machine learning-powered layer group prediction of 2D materials [AI for Materials Science]