Energy flow networks: deep sets for particle jets
Sign Up to like & getrecommendations! Published in 2019 at "Journal of High Energy Physics"
DOI: 10.1007/jhep01(2019)121
Abstract: A bstractA key question for machine learning approaches in particle physics is how to best represent and learn from collider events. As an event is intrinsically a variable-length unordered set of particles, we build upon… read more here.
Keywords: physics; deep sets; energy flow; energy ... See more keywords
Memory capacity of adaptive flow networks.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.107.034407
Abstract: Biological flow networks adapt their network morphology to optimize flow while being exposed to external stimuli from different spatial locations in their environment. These adaptive flow networks retain a memory of the stimulus location in… read more here.
Keywords: capacity adaptive; memory capacity; flow; flow networks ... See more keywords
Mode Selection in Compressible Active Flow Networks.
Sign Up to like & getrecommendations! Published in 2017 at "Physical review letters"
DOI: 10.1103/physrevlett.119.028102
Abstract: Coherent, large-scale dynamics in many nonequilibrium physical, biological, or information transport networks are driven by small-scale local energy input. Here, we introduce and explore an analytically tractable nonlinear model for compressible active flow networks. In… read more here.
Keywords: mode selection; active flow; flow networks; compressible active ... See more keywords
Phenotypes of Vascular Flow Networks.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review letters"
DOI: 10.1103/physrevlett.123.248101
Abstract: Complex distribution networks are pervasive in biology. Examples include nutrient transport in the slime mold Physarum polycephalum as well as mammalian and plant venation. Adaptive rules are believed to guide development of these networks and… read more here.
Keywords: biology; phenotypes vascular; vascular flow; topology ... See more keywords
Monitoring Embedded Flow Networks Using Graph Fourier Transform Enabled Sparse Molecular Relays
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.2978835
Abstract: Many embedded networks are difficult to monitor, such as water distribution networks (WDNs). A key challenge is how to use minimum sparse sensors to measure contamination and transmit contamination data to a hub for system… read more here.
Keywords: embedded flow; fourier transform; monitoring embedded; graph fourier ... See more keywords
Operating characteristics of the factor flow networks in rural areas: A case study of a typical industrial town in China
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0283232
Abstract: The networks of factor flows in rural areas are the main support for rural revitalization, which has become one of the research trends in rural geography. Taking a typical industrial town in China as an… read more here.
Keywords: town; rural areas; factor; flow networks ... See more keywords
Organizational Labor Flow Networks and Career Forecasting
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25050784
Abstract: The movement of employees within an organization is a research area of great relevance in a variety of fields such as economics, management science, and operations research, among others. In econophysics, however, only a few… read more here.
Keywords: labor; organizational labor; networks career; flow networks ... See more keywords