Publications related to Predicting Cavitation in Francis Turbines on the Basis of Scale Model Testing

Towards a multiscale point cloud structural similarity metric

Point clouds are effective data structures for the rep- resentation of three-dimensional media and hence adopted in a wide range of practical applications. In many cases, the portrayed data is expected to be visualized by humans. After acquisition, point c ...

2023

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

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Saliency models are image-based prediction models that estimate human visual attention. Such models, when applied to architectural spaces, could pave the way for design decisions where visual attention is taken into account. In this study, we tested the pe ...

2023

A New Analytical Approximation of the Fluid Antenna System Channel

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Fluid antenna systems (FAS) are an emerging technology that promises a significant diversity gain even in the smallest spaces. It consists of a freely moving antenna in a small linear space to pick up the strongest received signal. Previous works in the li ...

Piscataway2023

Multiplicative chaos of the Brownian loop soup

Antoine Pierre François Jego, Titus Lupu

We construct a measure on the thick points of a Brownian loop soup in a bounded domain D

D

of the plane with given intensity theta>0

\theta >0

, which is formally obtained by exponentiating the square root of its occupation field. The measure is construct ...

WILEY2023

Metal-Free Molecular Catalysts for the Oxygen Reduction Reaction: Electron Affinity as an Activity Descriptor

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Heteroatom-doped polyaromatic hydrocarbons (or nanographenes) are promising molecular electrocatalysts for the oxygen reduction reaction (ORR). Here, we use density functional theory to investigate the first step of the ORR pathway (chemisorption) for a se ...

AMER CHEMICAL SOC2023

Networks with correlated edge processes

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This article proposes methods to model non-stationary temporal graph processes motivated by a hospital interaction data set. This corresponds to modelling the observation of edge variables indicating interactions between pairs of nodes exhibiting dependenc ...

OXFORD UNIV PRESS2023

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

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The properties of stable Luttinger liquid phases in models with a nonconserved number of particles are investigated. We study the Luttinger liquid phases in one-dimensional models of hard-core boson and spinless fermion chains where particles can be create ...

College Pk2023

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

Patrick Karl Alois Neff

BackgroundTinnitus is a heterogeneous condition which may be associated with moderate to severe disability, but the reasons why only a subset of individuals is burdened by the condition are not fully clear. Ecological momentary assessment (EMA) allows a be ...

FRONTIERS MEDIA SA2022

Unified theory of atom-centered representations and message-passing machine-learning schemes

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Data-driven schemes that associate molecular and crystal structures with their microscopic properties share the need for a concise, effective description of the arrangement of their atomic constituents. Many types of models rely on descriptions of atom-cen ...

AIP Publishing2022

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources

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To overcome the multipath interference in locating transient electromagnetic (EM) radiation sources in an indoor environment, we propose a criterion that calculates the correlation between back-propagated signals from observation points, to be used in EM t ...

2021

Predicting Cavitation in Francis Turbines on the Basis of Scale Model Testing

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Towards a multiscale point cloud structural similarity metric

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

A New Analytical Approximation of the Fluid Antenna System Channel

Multiplicative chaos of the Brownian loop soup

Metal-Free Molecular Catalysts for the Oxygen Reduction Reaction: Electron Affinity as an Activity Descriptor

Networks with correlated edge processes

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

Unified theory of atom-centered representations and message-passing machine-learning schemes

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources

Towards a multiscale point cloud structural similarity metric

Multiplicative chaos of the Brownian loop soup

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

A New Analytical Approximation of the Fluid Antenna System Channel

Metal-Free Molecular Catalysts for the Oxygen Reduction Reaction: Electron Affinity as an Activity Descriptor

Networks with correlated edge processes

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Unified theory of atom-centered representations and message-passing machine-learning schemes

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources