Article Versions Notes

Bougueroua S, Bricage M, Aboulfath Y, Barth D, Gaigeot M-P. Algorithmic Graph Theory, Reinforcement Learning and Game Theory in MD Simulations: From 3D Structures to Topological 2D-Molecular Graphs (2D-MolGraphs) and Vice Versa. Molecules. 2023; 28(7):2892. https://doi.org/10.3390/molecules28072892

Bougueroua, Sana, Marie Bricage, Ylène Aboulfath, Dominique Barth, and Marie-Pierre Gaigeot. 2023. "Algorithmic Graph Theory, Reinforcement Learning and Game Theory in MD Simulations: From 3D Structures to Topological 2D-Molecular Graphs (2D-MolGraphs) and Vice Versa" Molecules 28, no. 7: 2892. https://doi.org/10.3390/molecules28072892

Bougueroua, S., Bricage, M., Aboulfath, Y., Barth, D., & Gaigeot, M.-P. (2023). Algorithmic Graph Theory, Reinforcement Learning and Game Theory in MD Simulations: From 3D Structures to Topological 2D-Molecular Graphs (2D-MolGraphs) and Vice Versa. Molecules, 28(7), 2892. https://doi.org/10.3390/molecules28072892