
Esther Desireé Gutiérrez MorenoEscuela Superior Politecnica del Litoral · Faculta de Ciencias Naturales y Matemáticas
Esther Desireé Gutiérrez Moreno
PhD
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21
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Introduction
Data Science, Machine Learning, Neural Networks, Stochastic Dynamics and Nonlinear Dynamics
Skills and Expertise
Publications
Publications (21)
The physical principles of electromagnetism are hard for students to understand, even though they explain our surrounding world, including technology. Active learning methodologies play an important role in students’ learning processes of such concepts. Using project-based learning, with the appropriate project, students can be engaged in any scien...
In this work, we will describe a Peer Project Learning assignment focused on the STEM project-based learning activities where students build a custom board game with a series of constraints that guide them to learn (and later teach) about the main concepts of an electromagnetism physics course for undergraduate students.
Project/problem-based learning, as an active methodology, improves significantly the learning process, making students take an active role in the construction of their own knowledge, and at the same time, develop soft and social skills that are critical in the success of their student career and professional field. In this work, an entertaining gam...
A material of great relevance in the current research context is borophene, a monolayer nanomaterial composed only of boron atoms with extraordinary electrical and mechanical properties. In the present work, a neural network was designed and trained in order to predict the mechanical properties of this material, such as Young’s modulus, fracture st...
The emergence of non equilibrium topological phases in low dimensional systems offers an interesting route for material properties engineering. We analyze the dynamical modulation of two coupled one-dimensional chains, described by the Su-Schrieffer-Heeger model. We find that the interplay of driving interactions and interchain coupling leads to th...
The emergence of non equilibrium topological phases in low dimensional systems offers an interesting route for material properties engineering. In particular, we analyze the dynamical modulation of two coupled one-dimensional chains, described by the Su-Schrieffer-Heeger model. We find that the interplay of driving interactions and interchain coupl...
Se presenta la estructura general de la metodología de aprendizaje por pares y proyecto (APP) con la finalidad de ofrecer un modelo educativo alternativo, apoyado en tecnología, para la educación superior en Latinoamérica. El APP es un modelo de aprendizaje activo centrado en el estudiante, que permite al docente cambiar su rol tradicional de trans...
Here we show a procedure to generate an analytical structure producing a cascade that scales as the energy spectrum in isotropic homogeneous turbulence. We obtain a function that unveils a non-self-similar fractal at the origin of the cascade. It reveals that the backbone underlying −5/3 cascades is formed by deterministic nested polynomials with p...
It is known that random population maps with time delay undergo a noise-mediated transition that produces the loss of its structural stability. Such a transition is optimized for a specific value of the noise correlation time of an Ornstein–Uhlenbeck forcing, as a consequence of the coupling of the involved deterministic and stochastic time scales....
Since the appearance of the first case of the new Covid-19 pneumonia in China, which has become a global public health problem and the great challenge that the infection has represented for the countries of South America to June 24, 2020, a total of 1,866,090 cases have been detected and in the particular case of Venezuela a total of 4,365 cases ha...
Neither from theoretical nor experimental approaches are fully developed turbulent flows really understood. In this dynamical state, the energy cascades from larger to smaller scales following a power law. However, there is still no detailed picture of the process that underlies such cascades. Here we show a mechanism to generate the analytical str...
Mitosis is one of the most important processes of living matter. In this paper we analyze the consequences of assuming mitosis as being dictated by an unstable dynamics grounded in an antagonist genetic circuit. Based on this approach main characteristics of chromosome movement behavior in different mitotic stages can be mimicked. We describe the s...
The movement of many animals may follow Lévy patterns. The underlying generating neuronal dynamics of such a behavior is unknown. In this paper we show that a novel discovery of multifractality in winnerless competition (WLC) systems reveals a potential encoding mechanism that is translatable into two dimensional superdiffusive Lévy movements. The...
Winnerless competition is analyzed in coupled maps with discrete temporal evolution of the Lotka-Volterra type of arbitrary dimension. Necessary and sufficient conditions for the appearance of structurally stable heteroclinic cycles as a function of the model parameters are deduced. It is shown that under such conditions winnerless competition dyna...