The Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) phase, a superconducting state with non-zero total momentum Cooper pairs in a strong magnetic field, was …

Direct Numerical Simulations of two superposed fluids in a channel with a textured surface on the lower wall have been carried out. A parametric stud…

We propose a data-driven method to solve a stochastic optimal power flow (OPF) problem based on limited information about forecast error distribution…

Second-order topological superconductors host Majorana corner and hinge modes in contrast to conventional edge and surface modes in two and three dim…

Recently, deep models have had considerable success in several tasks, especially with low-level representations. However, effective learning from spa…

As the capability of smart meters to collect data at high frequencies increases, we need to develop tools so that consumers and utilities benefit from these advances. Implementing privacy-aware data collection policies results in a reduction in the …

As smart meters continue to be deployed around the world collecting unprecedented levels of fine-grained data about consumers, we need to find mechan…

Wearable photoplethysmography (WPPG) has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion ar…

Opportunistic analysis has traditionally relied on independence assumptions that break down in many interesting and useful network topologies. This p…

In most MIMO systems, the family of waterfall error curves, calculated at different spectral efficiencies, are asymptotically parallel at high SNR. I…

Conventional correlation-based frame synchronization techniques can suffer significant performance degradation over multi-path frequency-selective ch…

In this work we investigate the inefficiency of the electricity system with strategic agents. Specifically, we prove that without a proper control th…

$ \newcommand{\kalg}{{k_{\mathrm{alg}}}} \newcommand{\kopt}{{k_{\mathrm{opt}}}} \newcommand{\algset}{{T}} \renewcommand{\Re}{\mathbb{R}} \newco…

Majorana fermions, quantum particles with non-Abelian exchange statistics, are not only of fundamental importance, but also building blocks for fault…

In this paper, we investigate the performance of conventional cooperative sensing (CCS) and superior selective reporting (SSR)-based cooperative sens…

Variational Auto-Encoders (VAEs) have been widely applied for learning compact low-dimensional latent representations for high-dimensional data. When…

Recently three dimensional topological quantum materials with gapless energy spectra have attracted considerable interests in many branches of physic…

The intrinsic alignment (IA) of galaxies has been shown to be a significant barrier to precision cosmic shear measurements. (Zhang, 2010, ApJ, 720, 1…

In this section we explicitly compute the classifying invariants for a number of “small” categories. The case of \sost3 is known to be Grothendieck equivalent to su(2)4 and both the fusion and modular structures are fully classified (see [KW93]). Be…

We study a family of fusion and modular systems realizing fusion categories Grothendieck equivalent to the representation category for $so(2p+1)_2$. …

With the advent of robot-assisted surgery, the role of data-driven approaches to integrate statistics and machine learning is growing rapidly with pr…

We present a distributed formation control strategy for agents with a variety of dynamics to achieve a desired planar formation. The proposed strateg…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account