Accelerating carbon capture, catalysis, and materials innovation using machine learning, high-performance computing, and atomistic simulations.
Measurable contributions to AI-driven science and materials research across Africa and beyond.
The AI for Sustainable Materials Africa group focuses on the intersection of Artificial Intelligence, Molecular Dynamics, and Materials Science. Our team leverages machine-learned interatomic potentials, generative models, and high-performance computing to discover novel materials for environmental sustainability and renewable energy.
With a strong foundation in computational chemistry and machine learning, our work bridges the gap between theoretical models and real-world applications in carbon capture, catalysis, and materials design.
Four interconnected domains driving innovation in computational materials science and AI for sustainability.
State-of-the-art tools powering our simulations and machine learning pipelines.
A curated selection of peer-reviewed articles and recent preprints from the group.
A curated selection of peer-reviewed articles and recent preprints from the group.
Grants, leadership roles, and mentorship efforts advancing AI for science across Africa.
Served as Principal Investigator for a US$50,000 grant supporting AI-driven research in African academia, enabling advanced computational materials discovery projects.
Awarded computational resources through the NSF ACCESS program for large-scale molecular dynamics simulations and machine learning model training.
Lead organizer for continental AI advancement initiatives, fostering collaboration among African researchers working at the intersection of artificial intelligence and science.
Organizer and mentor for African researchers in computational AI, providing hands-on training in machine learning, molecular simulations, and high-performance computing.
We welcome collaborations, inquiries, and opportunities to connect. Reach out to discuss research partnerships, speaking engagements, or student mentorship.
Whether you're a researcher, institution, or industry partner, we'd love to explore how our work in AI-driven materials science can create impact together.
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