Top-down fabricated silicon nanowire sensors for real-time chemical detection

2009 ◽  
Vol 21 (1) ◽  
pp. 015501 ◽  
Author(s):  
Inkyu Park ◽  
Zhiyong Li ◽  
Albert P Pisano ◽  
R Stanley Williams
2012 ◽  
Vol 97 ◽  
pp. 157-161 ◽  
Author(s):  
M. Totaro ◽  
P. Bruschi ◽  
G. Pennelli

2012 ◽  
Vol 41 (6) ◽  
pp. 989-992 ◽  
Author(s):  
Y. Li ◽  
K. Buddharaju ◽  
N. Singh ◽  
S.J. Lee

2021 ◽  
Author(s):  
Dustin Alfonso Chacón

Processing filler-gap dependencies (‘extraction’) depends on complex top-down predictions. This is observed in comprehenders’ ability to avoid resolving filler-gap dependencies in syntactic island contexts, and in the immediate sensitivity to the plausibility of the resulting interpretation. How complex can these predictions be? In this paper, we examine the processing of extraction from adjunct clauses. Adjunct clauses are argued to be syntactic islands, however, extraction is permitted if the adjunct clause and main clause satisfy specific compositional and conceptual semantic criteria. In an acceptability judgment task, we found that this generalization is robust. Additionally, our results show that this is a property specific to adjunct clauses by comparing adjunct clauses to conjunct VPs, which are similarly argued to permit extraction depending on semantic factors. However, in an A-Maze task, we found no evidence that this knowledge is deployed in real-time sentence processing. Instead, we found that comprehenders attempted to resolve a filler-gap dependency in an adjunct clause regardless of its island status. We propose that this is because deploying this linguistic constraint depends on a second-order serial search over event schemata, which is likely costly and time-consuming. Thus, comprehenders opt for a riskier strategy and attempt resolution into adjunct clauses categorically.


2015 ◽  
Vol 26 (25) ◽  
pp. 259601
Author(s):  
Gabriel Vidal-Álvarez ◽  
Jordi Agustí ◽  
Francesc Torres ◽  
Gabriel Abadal ◽  
Núria Barniol ◽  
...  

2011 ◽  
Vol 1303 ◽  
Author(s):  
Sun Choi ◽  
Albert P. Pisano

ABSTRACTWe report simple and effective methods to develop long-term, stable silicon nanowire-based pH sensors and systematic studies of the performance of the developed sensors. In this work, we fabricate silicon nanowire pH sensors based on top-down fabrication processes such as E-beam lithography and conventional photolithography. In order to improve the stability of the sensor performance, the sensors are coated with a passivation layer (silicon nitride) for effective electrical insulation and ion-blocking. The stability, the pH sensitivity, and the repeatability of the sensor response are critically analyzed with regard to the physics of sensing interface between sample liquid and the sensing surface. The studies verify that the sensor with a passivation layer over critical thickness show long-term, stable sensor response without long-term drift. The studies also show the detection of pH level with silicon nanowire sensors is repeatable only after proper rinsing of sensor surfaces and there exists trade-off between the stability and the pH sensitivity of sensor response.


Sign in / Sign up

Export Citation Format

Share Document