Materials Chemistry and Catalysis

!AIQU: Combining Artificial Intelligence and Quantum Mechanics to Develop Improved Computational Approaches

The goal of the !AIQU collaboration is to bridge Artificial Intelligence (AI) and QUantum mechanics to develop improved computational approaches. Combining the predictive power of QM calculations with the efficiency of AI / machine learning techniques has the potential to establish rapid and accurate predictions for industrially relevant properties at large scale.  The methods will be applied to complex molecular and materials systems.

C.V.

2023-present

Postdoctoral fellow, Materials Chemistry and Catalysis (MCC), Utrecht University, The Netherlands

Project: “Combining Artificial Intelligence and Quantum Mechanics to Develop Improved Computational Approaches”

Supervisor: Dr. N. Artrith

2018-2023

PhD candidate, Theoretical Chemistry, Leiden Institute of Chemistry, The Netherlands

Project: “Highly Accurate Simulations and Benchmarking of Molecule-Surface Reactions”

Promotor: prof. dr. G. J. de Kroes
Co-promotor: dr. M. F. Somers

2016-2017

Master’s degree in Radiation research, IAEA research program, Algeria

2014-2016

Master’s degree in Teaching (Physics), University of Bamenda, Cameroon

2011-2014

Master’s degree in Physics and engineering sciences (option Physics of matter and radiation), University of Douala, Cameroon

2007-2010

Bachelor’s degree in Physics and Chemistry, University of Douala, Cameroon

2007

Baccalaureate (gymnasium diploma), Lycée de Foumban, Cameroon

1988

Born in Foumban, Cameroon

Links

LinkedIn, ResearchGate, Scopus, WoS, Google scholar