Parametric approaches to Learning, such as deep learning (DL), are highly popular in nonlinear regression, in spite of their extremely difficult training with their increasing complexity (e.g. number of layers in DL). In this paper, we present an alternative semi-parametric framework which foregoes the ordinarily required feedback, by introducing the novel idea of geometric regularization. We s...

A low frequency instability has been observed using various electrostatic probes in a low-pressure expanding helicon plasma. The instability is associated with the presence of a current-free double layer (DL). The frequency of the instability increases linearly with the potential drop of the DL, and simultaneous measurements show their coexistence. A theory for an upstream ionization instabilit...

The acridine ring system and the benzene ring in the title compound, C(20)H(13)NO(2), are oriented at a dihedral angle of 6.4 (2)°. The carboxyl group is twisted at an angle of 83.6 (2)° relative to the acridine skeleton. The mol-ecules in the crystal are arranged in stacks along the b axis, with two of the acridine rings involved in multiple π-π inter-actions [centroid-centroid distances in th...

Expanding electronegative EN plasmas have been previously observed, experimentally, to generate wave activity. Using a particle-in-cell PIC code we have investigated these waves in expanding EN plasmas containing a double layer DL between an upstream source region and an expanded downstream region. Oxygen reaction rates were used but modified to correspond more closely to experimental condition...

The electrophoretic mobilities of two interacting spheres are calculated numerically for arbitrary values of the double-layer thickness. A general formula for the electrophoretic translational and angular velocities of N interacting particles is derived for low-zeta-potential conditions. The present calculation complements the well-studied case of thin double layers. The results are compared wi...