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Adam Lahouari
Exploring the world of science with passion and dedication
I am a dedicated scientist with a robust background in theoretical chemistry and computational materials science, currently pursuing a Ph.D. at Sorbonne Université in the Laboratoire de Chimie Théorique. My research centers on the cutting-edge investigation of gold and silver nanoparticles capped with alkylthiolates, employing advanced theoretical tools such as ReaxFF molecular dynamics and message passing neural networks.
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Adam's scientific journey
Exploring the depths of science

My work aims to understand and predict the complex behavior of self-assembled monolayers on metal surfaces. By leveraging innovative methodologies, I strive to push the boundaries of computational materials science and contribute to the development of next-generation nanomaterials. My expertise includes molecular dynamics, quantum chemistry, and the integration of machine learning techniques into materials research.

A significant aspect of my research involves applying machine learning to enhance the accuracy and efficiency of simulations. I have developed and utilized message passing neural networks to create new potentials that offer quantum accuracy at the cost of molecular dynamics simulations in order to predict the properties of complex nanostructures. This approach accelerates the discovery process and opens new avenues for exploration in theoretical chemistry.

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Expertise in Advanced Computational Chemistry and Materials Science
Proficient in Molecular Dynamics, Quantum Chemistry, Machine Learning, Scientific Writing, and Programming

I am an expert in a wide range of advanced skills critical to computational chemistry and materials science.

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