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Listar por palabra clave "Anomalous diffusion"

Mostrando ítems 1-9 de 9

A Physically-Based Fractional Diffusion Model for Semi-Dilute Suspensions of Rods in a Newtonian Fluid

Nadal, Enrique; Aguado-López, Jose Vicente; Abisset-Chavanne, E.; Chinesta Soria, Francisco Jose; Keunings, R.; Cueto, E. (Elsevier, 2017)

[EN] The rheological behaviour of suspensions involving interacting (functionalized) rods remains nowadays incompletely understood, in particular with regard to the evolution of the elastic modulus with the ...
A variant-dependent molecular clock with anomalous diffusion models SARS-CoV-2 evolution in humans

Goiriz, Lucas; Ruiz, Raúl; Garibo-i-Orts, Óscar; Conejero, J. Alberto; Rodrigo Tarrega, Guillermo (Proceedings of the National Academy of Sciences, 2023-07-25)

[EN] The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in humans has been monitored at an unprecedented level due to the public health crisis, yet the stochastic dynamics underlying such a process ...
Anomalous Diffusion Characterization using Machine Learning Methods

Garibo Orts, Óscar (Universitat Politècnica de València, 2023-04-18)

[ES] Durante las últimas décadas el uso del aprendizaje automático (machine learning) y de la inteligencia artificial ha mostrado un crecimiento exponencial en muchas áreas de la ciencia. El hecho de que los ordenadores ...
Characterization of trajectories in football matches from anomalous diffusion models

Castillo Esteve, Joan (Universitat Politècnica de València, 2023-01-02)

[ES] El análisis deportivo es un campo el cual ha ido creciendo mucho estos últimos años. De la mano del Big Data se han empezado a hacer muchos más estudio y con más posibilidades. En el mundo del fútbol la Ciencia de ...
Diffusion Through a Network of Compartments Separated by Partially-Transmitting Boundaries

Muñoz-Gil, Gorka; Garcia March, Miguel Angel; Manzo, Carlo; Celi, Alessio; Lewenstein, Maciej (Frontiers Media, 2019-03-18)

[EN] We study the random walk of a particle in a compartmentalized environment, as realized in biological samples or solid state compounds. Each compartment is characterized by its length L and the boundaries transmittance ...
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories

Garibo i Orts, Óscar; Baeza-Bosca, Alba; Garcia March, Miguel Angel; Conejero, J. Alberto (IOP Publishing, 2021-12-17)

[EN] Anomalous diffusion occurs at very different scales in nature, from atomic systems to motions in cell organelles, biological tissues or ecology, and also in artificial materials, such as cement. Being able to accurately ...
Machine learning-based characterization of single-particle behavior with synthetic experiment videos

Ahsini Ouariaghli, Yusef (Universitat Politècnica de València, 2024-10-15)

[EN] This Bachelor thesis concentrates on examining the movement of individual particles within living cells, utilizing videos of experiments. This work is linked to the participation in the 2nd Anomalous Diffusion (AnDi) ...
On the physical interpretation of fractional diffusion

Nadal, Enrique; Abisset-Chavanne, E.; Cueto, E.; Chinesta Soria, Francisco Jose (Elsevier, 2018)

[EN] Even if the diffusion equation has been widely used in physics and engineering, and its physical content is well understood, some variants of it escape fully physical understanding. In particular, anormal diffusion ...
Single trajectory characterization via machine learning

Munoz-Gil, Gorka; Garcia March, Miguel Angel; Manzo, Carlo; Martin-Guerrero, Jose D.; Lewenstein, Maciej (IOP Publishing, 2020-01)

[EN] In order to study transport in complex environments, it is extremely important to determine the physical mechanism underlying diffusion and precisely characterize its nature and parameters. Often, this task is strongly ...