Publications associées à Self-verifying theories

Unsupervised Robust Nonparametric Learning Of Hidden Community Properties

Martin Jaggi, Akhilesh Deepak Gotmare, Mikhail Langovoy

We consider learning of fundamental properties of communities in large noisy networks, in the prototypical situation where the nodes or users are split into two classes according to a binary property, e.g., according to their opinions or preferences on a t ...

2019

Band-edge positions in GW: Effects of starting point and self-consistency

Alfredo Pasquarello, Wei Chen

We study the effect of starting point and self-consistency within GW on the band-edge positions of semiconductors and insulators. Compared to calculations based on a semilocal starting point, the use of a hybrid-functional starting point shows a larger qua ...

American Physical Society2014

Compact Modeling of Suspended Gate FET

Mihai Adrian Ionescu, Michel Declercq, Dimitrios Tsamados, Yogesh Singh Chauhan, Nicolas Abelé, Christoph Eggimann

For the first time, a compact model for suspended gate (SG) FET valid for entire bias range is proposed. The model is capable of simulating both pull-in and pull-out effects, which are the two important phenomena of this device. A novel hybrid numerical si ...

2008

Finite element analysis and analytical simulations of Suspended Gate-FET for ultra-low power inverters

Mihai Adrian Ionescu, Dimitrios Tsamados, Yogesh Singh Chauhan, Christoph Eggimann

This paper proposes, the investigation of the Suspended Gate Field-Effect Transistor (SG-FET) small-slope switch based on a hybrid numerical simulation approach combining ANSYSTM Multiphysics and ISE-DESSISTM in a self-consistent system. The proposed numer ...

2008

Numerical and analytical simulations of Suspended Gate - FET for ultra-low power inverters

Mihai Adrian Ionescu, Dimitrios Tsamados, Yogesh Singh Chauhan, Christoph Eggimann

This paper proposes, for the first time, the investigation of the SG-FET small slope switch based on a hybrid numerical simulation approach combining ANSYS (TM) Multiphysics and ISE-DESSIS (TM) in a self-consistent system. The proposed hybrid numerical sim ...

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