DocumentCode
3722027
Title
"Modeling memristive biosensors"
Author
Ioulia Tzouvadaki;Francesca Puppo;Marie-Agnès Doucey;Giovanni De Micheli;Sandro Carrara
Author_Institution
Integrated System Laboratory, EPFL, Lausanne, Switzerland
fYear
2015
Firstpage
1
Lastpage
4
Abstract
In the present work, a computational study is carried out investigating the relationship between the biosensing and the electrical characteristics of two-terminal Schottky-barrier silicon nanowire devices. The model suggested successfully reproduces computationally the experimentally obtained electrical behavior of the devices prior to and after the surface bio-modification. Throughout modeling and simulations, it is confirmed that the nanofabricated devices present electrical behavior fully equivalent to that of a memristor device, according to literature. Furthermore, the model introduced successfully reproduces computationally the voltage gap appearing in the current to voltage characteristics for nanowire devices with bio-modified surface. Overall, the present study confirms the implication of the memristive effect for bio sensing applications, therefore demonstrating the Memristive Biosensors.
Keywords
"Memristors","Nanobioscience","Nanoscale devices","Computational modeling","Biological system modeling","Capacitance","Equivalent circuits"
Publisher
ieee
Conference_Titel
SENSORS, 2015 IEEE
Type
conf
DOI
10.1109/ICSENS.2015.7370572
Filename
7370572
Link To Document