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Francis Balestra

Researcher at Grenoble Institute of Technology

Publications -  51
Citations -  1526

Francis Balestra is an academic researcher from Grenoble Institute of Technology. The author has contributed to research in topics: Silicon on insulator & MOSFET. The author has an hindex of 15, co-authored 51 publications receiving 1404 citations. Previous affiliations of Francis Balestra include Joseph Fourier University & Los Angeles Harbor College.

Papers
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Double-gate silicon-on-insulator transistor with volume inversion: A new device with greatly enhanced performance

TL;DR: The double-gate control of silicon-on-insulator (SOI) transistors is used to force the whole silicon film (interface layers and volume) in strong inversion as discussed by the authors.
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Device and circuit cryogenic operation for low temperature electronics

TL;DR: Balestra and Ghibaudo as mentioned in this paper discussed the properties and properties of SOI MOSFETs and their application in the context of quantum effects and quantum devices.
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Modified transmission-line method for contact resistance extraction in organic field-effect transistors

TL;DR: In this paper, a modified transmission-line method for organic transistors contact resistance extraction is proposed, in which the linear regression slope is directly controlled by the contact resistance rather than by the channel resistance as in conventional TLM.
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Exploring the Charge Transport in Conjugated Polymers.

TL;DR: It is found that only the planar transistors operating in low-field regime are reliable to explore the inherent transport properties due to the energetic disorder lowering by the lateral field induced by high drain voltage.
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Essential Effects on the Mobility Extraction Reliability for Organic Transistors

TL;DR: In this article, the reliability of mobility has been investigated for organic transistors and it was shown that the widely used extraction method based on the saturation transfer characteristics is sensitive to contact effect and temperature with r dropping to 43%, leading to large mobility overestimation.