output
19922025
most citedDirectional perfect absorption using deep subwavelength low permittivity films

134 citations

Showing 2021Show all

7 papers · 1 filter

cs.LG2021★ 103 cited

Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks

Kevin M. Silva, Kevin J. Maki

Critical evaluation and understanding of ship responses in the ocean is important for not only the design and engineering of future platforms but also the operation and safety of t…

cond-mat.quant-gas2021★ 4 cited

Quantum Oscillations between weakly coupled Bose-Einstein Condensates: Evolution in a Non-degenerate Double Well

John D. Andersen, Srikanth Raghavan, V. M. Kenkre

We discuss coherent atomic oscillations between two weakly coupled Bose-Einstein condensates that are energetically different. The weak link is notionally provided by a laser barri…

quant-ph2021

An open-endcap blade trap for radial-2D ion crystals

Yuanheng Xie, Jiafeng Cui, Marissa D'Onofrio +3

We present the design and experimental demonstration of an open-endcap radio frequency trap to confine ion crystals in the radial-two dimensional (2D) structural phase. The central…

math.NA2021★ 2 cited

Unconditionally energy stable and first-order accurate numerical schemes for the heat equation with uncertain temperature-dependent conductivity

J. A. Fiordilino, M. Winger

In this paper, we present first-order accurate numerical methods for solution of the heat equation with uncertain temperature-dependent thermal conductivity. Each algorithm yields…

cond-mat.mes-hall2021★ 20 cited

3-phonon scattering pathways for vibrational energy transfer in crystalline RDX

Gaurav Kumar, Francis G. VanGessel, Lynn B. Munday +1

A long-held belief is that shock energy induces initiation of an energetic material through an indirect energy up-pumping mechanism involving phonon scattering through doorway mode…

cs.AI2021★ 6 cited

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

Isaac J. Sledge, Jose C. Principe

Deep-predictive-coding networks (DPCNs) are hierarchical, generative models. They rely on feed-forward and feed-back connections to modulate latent feature representations of stimu…