Structure

Kevin is an Assistant Professor in the Materials Science and Engineering Department of TU Delft.

His research leverages numerical simulations and machine learning models to overcome complex challenges in the design of safe and secure materials for green energy and sustainable chemistry.

 
Milica is an Assistant Professor of computational materials engineering at the University of Turku and the head of the Materials Informatics Laboratory group.

She combines artificial intelligence (AI) algorithms, first-principles simulations and experimental data with the objective to optimise functional materials and their performance in devices.

Julia is an Assistant professor for ‘Artificial Intelligence in Theoretical Chemistry‘ at Leipzig University, Germany.

Her research focuses on the development of machine learning algorithms tailored to the optimisation, discovery and design of chemical reactions, with particular emphasis on excited states and techniques for managing limited and noisy (experimental) data

Ivor is a Research Associate in the Division of Theoretical Physics at the Ruder Bošković Institute.

His research is dedicated to the modelling of materials from first principles, with an expanding focus on leveraging the capabilities of machine learning methods to facilitate the modelling and design of increasingly complex materials.

 

Markus is Assistant professor for ‘Materials Informatics and Data Science‘ at Ruhr-University Bochum.

He is interested in computational materials science, data-based plasticity, data fusion from experiments and simulations, natural language processing, FAIR materials data.

Jonathan is a Postdoctoral Researcher in the Materials Theory group at ETH Zurich.

His research is centered on accelerating material science through the application of machine learning methods.  A key focus of his work is the large-scale discovery of new materials through machine learning supported high-throughput searches.

Silvia Bonfanti is Assistant Professor in Physics, specialized in materials complexity, spanning fields such as glasses, mechanical metamaterials and biophysics.

She is affiliated with the University of Milan and the Nomaten Center of Excellence in Poland, where she is also interested in high-entropy alloys. Her work includes modelling and development of new algorithms to push the boundaries of materials science.

Patrícia is an Assistant Professor at the Polytechnic Institute of Porto and a researcher at INESC Technology and Science.

Her research interests encompass the diverse applications of machine learning and deep learning, with a focus on innovative solutions and advancements in various domains.

Kevin heads a research group at the Helmholtz Institute for Polymers in Energy Applications at the University of Jena and Helmholtz Center Berlin.

His research focuses on the digitization of chemistry, where he utilizes computational tools to explore issues ranging from atomic to pilot-plant scales. In his research, Kevin is applying large language models to chemistry and co-leads the ChemNLP project.

Julia is an Assistant professor for ‘Artificial Intelligence in Theoretical Chemistry‘ at Leipzig University, Germany.

Her research focuses on the development of machine learning algorithms tailored to the optimisation, discovery and design of chemical reactions, with particular emphasis on excited states and techniques for managing limited and noisy (experimental) data.

Joseph is Professor in Department of Physics, Aristotle University of Thessaloniki.

He is interested in materials analysis and design by the use of atomistic simulations and advanced computational techniques and algorithms employed in materials science.

Federico is tenure-track Researcher in the Department of Physics, Informatics and Mathematics at the University of Modena and Reggio Emilia.

His research focuses on the theory of heat and charge transport and on the combination of physical insights and machine learning to simulate transport phenomena in energy materials and matter at extreme conditions.