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Inverse problems in nano-biomolecular circuits typically involve stochastic functional elements that admit non-linear relationships between different circuit variables. In this regard, a factor graph representation serves as an important visualization and analysis tool that can be used to compute inferences over an arbitrary large-scale biomolecular circuit. Solving the inverse problem using a factor...
We use the stochastic linearized Poisson-Boltzmann equation to model the fluctuations in nanowire field-effect biosensors due to changes in the orientation of the biomolecules. Different orientations of the biomolecules with respect to the sensor surface due to Brownian motion have different probabilities. The probabilities of the orientations are calculated from their electrostatic free energy. The...
Scaling of devices in the semiconductor industry has reached an extremely impressive level; electronic device dimensions are approaching atomic scales and can also have dimensions comparable to many biological microstructures. In this paper, we present an overview of the new challenges in modeling electronics that interface with and bridge into the domains of biotechnology. In particular, we will...
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