The MMLab attended the IOP Conference on ML for experimental materials data
On April 2nd we attended the conference on ML for experimental materials data, and we welcome Jose Daniel as a...
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Can we engineer molecules and materials with Nature’s Intelligence? At MMLab, we learn from Nature the ability to create multifunctional molecules and materials for circularity as well as performance. Following biomimicry principles, we implement computational chemistry, atomistic simulations, and machine learning to design nature-learned molecules and materials from biomass to tackle critical global challenges in self-healing infrastructure, precision agriculture, and harvesting and energy storage, while advocating for social-driven innovation.
Implementing multiscale modeling and machine learning to accelerate materials discovery.
Learning from Nature the ability to design materials for circularity as well as performance.
Modeling biomass and biobased materials towards AI-assisted integrated biorefineries.
Advancing a bioasphalt-by-design paradigm to create self-healing roads from biomass waste.
Developing designer biochars for precision agriculture and soil remediation.
Designing biobased and bioinspired materials and molecules to efficiently capture, and store energy.
We are a fun, multidisciplinary and multicultural team, passionate about science. Talk nerdy to us.
Visiting PhD student from CSIC CIB (Madrid)
If we see further, it is by standing on the shoulders of giants. We rely on the ideas of those who came before us, and we disseminate our research in international peer-reviewed journals, actively advocating for open access publications.
Join us at King’s College London, right at the heart of one of one of the most vibrant cities in the world. We are a fun and multicultural research team based at the Chemistry Department within the Faculty of Mathematical, Natural and Engineering Sciences. You will participate in highly collaborative research, both with UK and international groups, and in a supportive and stimulating research and innovation ecosystem.
We love sharing snapshots of MMLab life, from research and events
to conferences, talks, interviews, and everyday moments.
IOP ML Conference 26
GROUP 2025/2026
At C2I The Engineer Awards 26
Jose Norambuena’s visit
Fran at GIFE26
GROUP LUNCH 2022
FOOT GOLF 2022We like sharing the latest news, social media highlights, and all the great things happening
with the MMLab and the wider King’s community
