Magnani, Alessandro (2015) Dynamic Thermal Feedback Blocks for Electrothermal Simulation of Devices, Circuits and Systems. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Dynamic Thermal Feedback Blocks for Electrothermal Simulation of Devices, Circuits and Systems |
| Creators: | Creators Email Magnani, Alessandro ALESSANDRO.MAGNANI@UNINA.IT |
| Date: | 31 March 2015 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Scuola di dottorato: | Ingegneria dell'informazione |
| Dottorato: | Ingegneria elettronica e delle telecomunicazioni |
| Ciclo di dottorato: | 27 |
| Coordinatore del Corso di dottorato: | nome email Riccio, Daniele UNSPECIFIED |
| Tutor: | nome email Rinaldi, Niccolò UNSPECIFIED d'Alessandro, Vincenzo UNSPECIFIED |
| Date: | 31 March 2015 |
| Keywords: | Electrothermal, Model-order reduction, Macromodeling, SPICE, Thermal modeling, SiGe, GaAs, HBT, Thermal Feedback, Parametric Macromodeling, Carbon Nanotubes, Solar panel, Power delivery networks, Unclamped Inductive Switching, Short Circuit |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/01 - Elettronica |
| Additional information: | Indirizzo alternativo - alessandro.magnani.85@gmail.com Numero di telefono laboratorio - 0817683145 |
| Date Deposited: | 07 Apr 2015 10:51 |
| Last Modified: | 17 Apr 2018 01:00 |
| URI: | http://www.fedoa.unina.it/id/eprint/10164 |
| DOI: | 10.6093/UNINA/FEDOA/10164 |
Collection description
The behavior of modern electronic systems can be accurately modeled only by self-consistently solving the thermal and electrical problems in a coupled electrothermal (ET) simulation. Thermal Feedback Blocks (TFBs) describing the power-temperature feedback have been proposed to meet the designers' demand for accurate - yet fast and easy to use - tools to perform thermal and ET analyses. An in-house tool has been implemented for the extraction of linear TFBs, which have been further extended by: (i) including parameterization describing design choices; (ii) proposing a novel tool based on a model order reduction technique with very high performances with respect to standard commercial solution; (iii) accounting for thermal nonlinearities in an arbitrarily-complex structure; (iv) considering advanced physical phenomena for very small devices; (v) developing a clustering-based approach to simplify the study of power delivery networks. Dynamic ET simulations relying on TFBs have been, subsequently, performed for a wide variety of applications at device, circuit and system level.
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