Now showing items 1-8 of 8
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Artificial Derivation of Schrödinger Equation Driven by Artificial Neural Networks
(IEEE, 2025-04-21)Acceso restringidoStarting from the idea that artificial intelligent might be able to derive known as well as unknown equations of physics and other different branches of basic science, the concept of perceptron was used to derive the the ... -
Classical Electrodynamics and Green Functions with the Keller-Segel Equation
(Institute of Electrical and Electronics Engineers, 2020-12-16)Acceso restringidoBacteria can transport a well defined electric charge so that one can expect electrical interactions with different biochemical compounds in order to optimize their colonization in healthy hosts. This paper focuses on the ... -
Classical-to-Quantum Transition in a Super-Intense Laser and Field Quantization
(IEEE, 2025-03-11)Acceso restringidoThe transition from a high-intensity laser passing from a Gaussian shape to one exhibiting Bessel profile, is presented. A semiclassical procedure by which external fields has not been quantized, was opted. The role of ... -
Hybrid Courses Based on Basic Sciences and Green Technologies in Engineering Programs
(MDPI, 2023)Acceso abiertoAn ineluctable topic has emerged and needs to be treated in engineering programs for green energies. Particularly in the programs of electrical and systems engineering, students can acquire the capabilities to envision the ... -
Machine Learning Algorithms for Producing Equations in Physics
(IEEE, 2025-02-26)Acceso restringidoBased at the prospective scenario that computers might to replace humans, emerge the idea that them can carry out jobs as a scientist does. Thus, one might to expect that for example machine learning can be a serious ... -
Machine Learning as Mediator of Classical Electrodynamics and Quantum Mechanics
(IEEE, 2025-03-13)Acceso restringidoMachine Learning has been used as part of a closed-form operation that allows to link classical physics to quantum mechanics of a free electron radiating photons inside superintese laser field. To accomplish this an ... -
Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)Acceso restringidoIn this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ... -
Proposal of a Physics Course at Biomedical Engineering: Example of a Multitopic Content
(IEEE, 2023)Acceso restringidoThe program of biomedical engineering will play a noteworthy role at the present and subsequent decades due to the its crossing areas curricula in the medical field. This would suggest to design new and inspirative content ...
