Full and reduced models for the elastodynamics of fully flexible parallel robots
Sign Up to like & getrecommendations! Published in 2020 at "Mechanism and Machine Theory"
DOI: 10.1016/j.mechmachtheory.2020.103895
Abstract: Abstract The elastodynamic analysis of parallel robots still has limitations related to the difficulty of including parts with several input/output nodes. This results in the impossibility of considering fully flexible parallel mechanisms and, therefore, most… read more here.
Keywords: flexible parallel; reduced models; fully flexible; full reduced ... See more keywords
On reduced models for gravity waves generated by moving bodies
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2016.818
Abstract: In 1983, Tulin published a report proposing a framework for reducing the equations for gravity waves generated by moving bodies into a single nonlinear differential equation solvable in closed form (Proceedings of the 14th Symposium… read more here.
Keywords: waves generated; reduced models; generated moving; gravity waves ... See more keywords
On the bounce: developing reduced models for air–liquid interactions in droplet rebounds
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2024.1117
Abstract: Abstract Impact dynamics have long fascinated due to their ubiquity in everyday phenomena, from rain droplets splashing on windscreens to stone-skimming on the surface of the ocean. Impacts are characterized by rapid changes over disparate… read more here.
Keywords: air; developing reduced; reduced models; air liquid ... See more keywords
Physical Determinants and Reduced Models of the Rapid Cooling of Urban Surfaces During Rainfall
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2018ms001528
Abstract: Using a detailed model, sensitivity analyses are conducted to identify the leading physical determinants and heat fluxes that control energy exchange between surface runoff and urban pavements during rainfall. These analyses confirm that pavement characteristics,… read more here.
Keywords: physical determinants; heat; runoff pavement; model ... See more keywords
Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-16549-2
Abstract: Altered metabolism is associated with many human diseases. Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. However, the complexity of these networks hinders a consistent… read more here.
Keywords: genome scale; reduced models; metabolism; analysis human ... See more keywords
Globalizing manifold-based reduced models for equations and data
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-61252-9
Abstract: One of the very few mathematically rigorous nonlinear model reduction methods is the restriction of a dynamical system to a low-dimensional, sufficiently smooth, attracting invariant manifold. Such manifolds are usually found using local polynomial approximations… read more here.
Keywords: model reduction; globalizing manifold; reduced models; mechanics ... See more keywords
Deep Learning and Reduced Models for Fast Optimization in Electromagnetics
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2019.2957197
Abstract: The computational cost of topology optimization based on the binary particle swarm optimization is greatly reduced by the use of deep neural networks (DNNs). A first convolutional neural network (CNN) is trained with data coming… read more here.
Keywords: optimization; reduced models; models fast; fem model ... See more keywords
Evaluating model reduction under parameter uncertainty
Sign Up to like & getrecommendations! Published in 2018 at "BMC Systems Biology"
DOI: 10.1186/s12918-018-0602-x
Abstract: BackgroundThe dynamics of biochemical networks can be modelled by systems of ordinary differential equations. However, these networks are typically large and contain many parameters. Therefore model reduction procedures, such as lumping, sensitivity analysis and time-scale… read more here.
Keywords: uncertainty; reduced models; parameter uncertainty; model ... See more keywords
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.889235
Abstract: The brain produces rhythms in a variety of frequency bands. Some are likely by-products of neuronal processes; others are thought to be top-down. Produced entirely naturally, these rhythms have clearly recognizable beats, but they are… read more here.
Keywords: broad band; rhythms; brain; brain rhythms ... See more keywords