Systematic interpretation of differential capacitance data

A systematic interpretation of differential capacitance data

Keith Promislow† Department of Mathematics, Michigan State University, East Lansing, MI Abstract Differential capacitance (DC) data has been widely used to characterize the structure of electrolyte solutions near charged interfaces and as experimental validation of models for electrolyte structure. Fixing a large class of models of electrolyte free energy that incorporate finite volume effects,...

Systematic Interpretation of High-Throughput Biological Data

An Algorithm for Modeling and Interpretation of Seismoelectric Data

Generally speaking, seismoelectric modeling is a prospecting method based on seismic and electromagnetic waves, in which waves generated by a seismic source at the boundary of the two environments generate a relative fluid-solid motion formed as a result of antagonism between the elastic properties of the environment with the saturated fluid. This research has as its objective, a study of the e...

Negative differential capacitance of quantum dots

The dependence of charges accumulated on a quantum dot under an external voltage bias is studied. The charge is sensitive to the changes of number of filled levels and the number of conducting levels ~channels!. We clarify that there are two possible outcomes of applying a bias. ~a! The number of conducting channels increases, but the number of filled levels decreases. ~b! The number of filled ...

Supplement to: Systematic interpretation of microarray data using experiment annotations

Analysis-interfering artifacts (yeast data). The Eurofan II Node B2 project [1, 2, 3, 4, 5, 6, 7] was an enterprise to study the S. cerevisiae transcriptome under various experimental conditions (such as high and low glucose concentrations, calcium shortage or heat shock) on a consistent platform. The investigated dataset comprises 229 out of 253 hybridizations performed by five European groups...