PhD - Leuven | More than two weeks ago
The aggressive downscaling of FET devices (FinFET, NanowireFET, NanosheetFET, ForksheetFET, CFET...) in past years has put a great emphasis on the need to come up with properly calibrated process and device simulation tools (TCAD) to predict performances, suggest processing options and even understand failure mechanisms.
The aggressive downscaling of FET devices (FinFET, NanowireFET, NanosheetFET, ForksheetFET, CFET...) in past years has put a great emphasis on the need to come up with properly calibrated process and device simulation tools (TCAD) to predict performances, suggest processing options and even understand failure mechanisms.
The aggressive downscaling of FET devices in past years has put a great emphasis on the need to come up with properly calibrated process and device simulation tools to predict performances, suggest processing options and even understand failure mechanisms. As their modeling is complex with multiple calibration parameters, adequate two- and three-dimensional (2D)-characterization techniques have been identified as a necessity for process/device engineers and for the TCAD community to achieve an accurate modeling and calibration of the complex physical mechanisms for scaled devices. In such scaled devices even the smallest variations of the structure dimensions (ie. width or length, local interconnect or spacer, source/drain epi volumes, etc.), carrier distribution and/or activation rate can cause significant variations in the electrical properties of the devices.
In the last years, we have demonstrated how to combine informations extracted from Transmission Electron Microscopy (epi shape and volume, fin or nanowire size), Energy Dispersive X-Ray Analysis (epi composition in source/drain), or Scanning Probe Microscopy based Scanning Spreading Resistance Microscopy (2D/3D carrier maps) to successfully calibrate TCAD decks. This was performed for Si-channel FinFET devices, for instance pointing out the impact of remaining oxides after pre-epi clean in nFinFET, or of Ge content in SiGe epi S/D on the access resistance for pFinFET. We have also implemented a simulation deck for horizontal NanowireFET device analyzing the impact of reduced carrier diffusion in very narrow nanowires.
Within this project we aim at expanding this work towards even more advanced devices such as non-Si-channel devices (SiGe, Ge, III-V), Nanosheet, Forksheet, and CFET devices that are candidates for the N2 technology node. Hence the PhD candidate will have :
Required background: Engineering (physics or microelectronics)
Type of work: 50% experimental 50% modeling/simulation
Supervisor: Claudia Fleischmann
Co-supervisor: Pierre Eyben
Daily advisor: Pierre Eyben, Philippe Matagne, Albert Minj
The reference code for this position is 2023-029. Mention this reference code on your application form.