AI4SMM
Artificial Intelligence for Sustainable Molecules and Materials

Research Priority Area

AI for Sustainable Molecules and Materials

Researchers discover, study, and design molecules and materials in all FNWI institutes related to chemistry, ecology, physics, and biology. The research focus area Artificial Intelligence for Sustainable Molecules and Materials (AI4SMM) connects and promotes research focused on making molecules and materials for a sustainable planet by leveraging the utility of artificial intelligence.

The multidisciplinary AI4SMM Laboratory bridges the FNWI strengths related to sustainability, AI, and design of smart materials and molecules. AI4SMM aims to be a knowledge hub within a green and smart ecosystem that includes the UvA Sustainability Platform, the AI4Science Lab, AMLab, the Data Science Center, the Computational Soft Matter Lab, the Computational Chemistry Group, but also the MaterialenNL Platform, Port of Amsterdam, Microsoft Research, and so forth.

Read more about our mission and our aims for scientific research, education, and connecting with academic and industrial partners on our “About AI4SMM” page.

About AI4SMM>

Invitation for flagship project proposals

Previously, the FNWI Research Focus Area “Artificial Intelligence for Sustainable Molecules and Materials” (AI4SMM) has granted four kick-off projects that started in the past year as collaborations within different institutes within FNWI. The AI4SMM board has allocated the remaining budget of k€ 1,190 for a single flagship project, to start early 2025.

Learn more>

A warm welcome to four AI4SMM postdoctoral fellows

AI4SMM Research

Early 2023, the AI4SMM call for research proposals for postdoctoral fellowship projects was concluded and four excellent multidisciplinary projects were awarded. We are very happy that we can now welcome our first AI4SMM postdoctoral fellows to the lab:

Maxim Brodmerkel
Maxim
Brodmerkel
Marco Federici
Marco
Federici
Alexander Korotkevich
Alexander
Korotkevich
Daniel Acuña Ramirez
Daniel
Acuña Ramirez

Maxim will be working on machine learning-based models of plant protein mixtures for sustainable food design. Marco's project is on chemical additives for safe-and-sustainable-by-design plastics. Alexander studies salt hydrates for thermal energy storage. And Daniel developes metamaterials designed by AI for Sustainable Steel.

Click below to read further about their research plans.

Research Projects>