1 citations · 1 across the 4 of their papers we have counts for
4 papers
Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables
Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez
Physically Guided Neural Networks with Internal Variables are SciML tools that use only observable data for training and and have the capacity to unravel internal state relations.…
Cell dynamics in microfluidic devices under heterogeneous chemotaxis and growth conditions: a mathematical study
Jacobo Ayensa-Jiménez, Mohamed H. Doweidar, Manuel Doblaré +1
As motivated by studies of cellular motility driven by spatiotemporal chemotactic gradients in microdevices, we develop a framework for constructing approximate analytical solution…
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems
Jacobo Ayensa-Jiménez, Mohamed H. Doweidar, Jose A. Sanz-Herrera +1
Predictive Physics has been historically based upon the development of mathematical models that describe the evolution of a system under certain external stimuli and constraints. T…
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers
Jacobo Ayensa-Jiménez, Mohamed H. Doweidar, Jose Antonio Sanz-Herrera +1
Substitution of well-grounded theoretical models by data-driven predictions is not as simple in engineering and sciences as it is in social and economic fields. Scientific problems…