Computational Modelling of Nature-Inspired Sustainable Materials
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Computational Modelling of Nature-Inspired Sustainable Materials

By King’s Institute for Artificial Intelligence

A seminar on using computational modelling and ML to engineer nature-inspired sustainable materials.

Date and time

Location

Online

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Highlights

  • 1 hour
  • Online

About this event

Science & Tech • Science

Valorising extensively available biomass wastes, developing biobased materials, and mimicking nature in its ability to design materials for circularity as well as performance are some of the avenues to achieve a more sustainable development. The MMLab seek material building blocks in biomass waste and non-critical material sources, and they investigate structure-property relationships, assembly, and degradation mechanisms of biomolecules and biomass materials. They use computational chemistry, atomistic modelling, and machine learning to develop molecules and materials with applications in precision agriculture, self-healing infrastructure, or energy storage.

This seminar is part of the King’s Institute for Artificial Intelligence’s AI+ Research Seminar Series.

Meet the speaker

Dr Francisco J. Martin-Martinez is a Senior Lecturer in Chemistry at King's College London, where he leads the MMLab, a multidisciplinary research group focused on designing nature-inspired and biobased materials using computational chemistry, multiscale modeling, and AI. His research explores biomass sources like lignin, cellulose or chitin for applications ranging from precision agriculture to self-healing infrastructure materials. He earned his PhD in Theoretical and Computational Chemistry from the University of Granada and subsequently held research positions at the Vrije Universiteit Brussel and as a Research Scientist at the Massachusetts Institute of Technology (MIT). Before joining King's, he was a lecturer at Swansea University. In 2022, he was recognized as a Google Cloud Research Innovator.

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Free
Nov 19 · 6:00 AM PST