I'm a computational materials scientist at the Dutch Institute for Fundamental Energy Research (DIFFER), working at the intersection of quantum chemistry, machine learning, and autonomous materials discovery. My research focuses on developing physics-informed AI frameworks for accelerating the discovery of next-generation energy materials.
Current Research:
- 🤖 AI4Mat Self-driving Laboratory for autonomous materials optimization
- ⚡ Physics-informed ML for high-efficiency photovoltaic materials
- 🧪 Multi-objective catalyst discovery using active learning
I'm actively seeking collaborations in:
- 🔬 AI-driven materials discovery platforms
- 🌱 Sustainable energy materials (solar cells, catalysts)
- 🤖 Self-driving laboratories and autonomous experimentation
- 📊 Large-scale materials databases and informatics
Looking for: Assistant Professor positions in computational materials science, ML for chemistry, and device acceleration platforms.
📧 Email: [your.email@domain.com]
🌐 Website: sustai-nabil.com
💼 Open to: Faculty positions | Research collaborations | Consulting
"Bridging quantum mechanics, machine learning, and materials innovation"
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