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Meunier leads the Innovative Computational Material Physics (ICMP) group at Rensselaer. His research uses computation to examine the atom-level details of materials. He is particularly interested in low-dimensional materials and domains where he can collaboratively work with engineers and experimentalists to optimize these materials, starting at the atomic level and targeting functionality.
Meunier's teaching focuses on Computational Physics education; he has been teaching Computational Physics at the senior undergraduate level at Rensselaer since 2010. He also teaches "Introduction to Density Functional Theory" and "Advanced Computational Physics" at the graduate level. He strives to bring modern computational approaches to the classroom, including state-of-the-art algorithms and the practical use of parallel and GPU computing.
Meunier's teaching focuses on Computational Physics education; he has been teaching Computational Physics at the senior undergraduate level at Rensselaer since 2010. He also teaches "Introduction to Density Functional Theory" and "Advanced Computational Physics" at the graduate level. He strives to bring modern computational approaches to the classroom, including state-of-the-art algorithms and the practical use of parallel and GPU computing.
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Journal of physics. Condensed matter : an Institute of Physics journal (2024)
crossref(2024)
Fabio Nascimento de Sousa, Divino Eliaquino Araujo Rodrigues,Fabricio Morais de Vasconcelos,Vincent Meunier,Eduardo Costa Girao
Materials Today Communications (2023): 105065-105065
JOURNAL OF PHYSICS-CONDENSED MATTERno. 48 (2023): 485703-485703
arXiv (Cornell University) (2023)
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Carbon (2023): 611-619
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