MechaRaptor Data for the first test campaign in Q4 2022

Source-Doublet Panel Method

Pieces of codes and dataset that will be useful for the course "Mathematique générale et modelisation des systemes dynamiques" (MATH2016-1)

Processing scripts for the MechaRaptor experimental data.

A Free Open-Source Blade Element Momentum Theory implementation in Matlab.

Data of https://doi.org/10.1016/j.cma.2020.113234 related to MOAMMM project.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Public Data related to MOAMMM project.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Data related to MOAMMM project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Public Data related to MOAMMM project.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Data of https://doi.org/10.1016/j.cma.2021.114476

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Data of https://doi.org/10.1016/j.polymertesting.2022.107556

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Data related to https://doi.org/10.1016/j.cma.2019.112693

Database for rotor geometries and associated experimental data.

Public Code related to MOAMMM project This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Integration of Plug-Ins into SNAP

Tutoriel pour apprendre à entraîner un système de traduction automatique neuronal avec OpenNMT. Matériel librement diffusable préparé à l'occasion de la conférence « Traduction littéraire et intelligence artificielle : théorie, pratique, création ».