Transient thermal 2D FEM analysis of SiC MOSFET in short-circuit operation including high-temperature material laws and phase transition of aluminum source electrode

Autor: Shqair, Mustafa ^⁎, Sarraute, Emmanuel, Cazimajou, Thibauld, Richardeau, Frédéric

Publikováno v: In Microelectronics Reliability August 2024 159

Material engineering of percolating silicon nanowire networks for reliable and efficient electronic devices

Autor: Legallais, Maxime ^{a, b}, Nguyen, Thi Thu Thuy ^a, Cazimajou, Thibauld ^b, Mouis, Mireille ^b, Salem, Bassem ^c, Ternon, Céline ^{a, c, *}

Publikováno v: In Materials Chemistry and Physics 1 December 2019 238

Monte Carlo study of Single Photon Avalanche Diodes: quenching statistics

Autor: Cazimajou, Thibauld, Pala, Marco, saint-martin, Jérôme, Rideau, Denis, Dollfus, Philippe

Publikováno v: 21st International Workshop on Computational Nanotechnology (IWCN) 2021
21st International Workshop on Computational Nanotechnology (IWCN) 2021, May 2021, Online, South Korea

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b0e7d6072fcab743f32430d5ec63278
https://hal.archives-ouvertes.fr/hal-03254209

Étude de l’effet de champ et du transport dans des réseaux aléatoires percolants de nanofils de silicium

Autor: Cazimajou, Thibauld

Publikováno v: Micro et nanotechnologies/Microélectronique. Université Grenoble Alpes, 2019. Français. ⟨NNT : 2019GREAT105⟩

Random networks of nanowires, sometimes called nanonets, could be promising candidates for the 3D integration of CMOS biosensors. In this thesis we present characterization and simulation results of field effect transistors based on silicon nanonets

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::79279b62eba9ce33346c4cc0172bc6b4
https://tel.archives-ouvertes.fr/tel-02894884/document

Study of field effect and transport in random percolating networks of silicon nanowires

Autor: Cazimajou, Thibauld

Publikováno v: Micro et nanotechnologies/Microélectronique. Université Grenoble Alpes, 2019. Français. ⟨NNT : 2019GREAT105⟩

Random networks of nanowires, sometimes called nanonets, could be promising candidates for the 3D integration of CMOS biosensors. In this thesis we present characterization and simulation results of field effect transistors based on silicon nanonets

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::79279b62eba9ce33346c4cc0172bc6b4
https://theses.hal.science/tel-02894884