activity
20162022
most citedDevelopment and Experimental Validation of a Viscosity Meter for Newtonian and Non-Newtonian Fluids

2 citations · 4 across the 6 of their papers we have counts for

collaborators

11 papers

physics.soc-ph2022

Machine learning in front of statistical methods for prediction spread SARS-CoV-2 in Colombia

A. Estupiñán, J. Acuña, A. Rodriguez +6

An analytical study of the disease COVID-19 in Colombia was carried out using mathematical models such as Susceptible-Exposed-Infectious-Removed (SEIR), Logistic Regression (LR), a…

physics.app-ph2020★ 1 cited

Development of a computational software in Python, used to study the materials resistance in beams

Julian A Rivera S, Alex F Estupiñán L

In this research, we do a software writing in Python to calculate the efforts, bending moments and deformations in beams of different materials. This computational tool, that we de…

physics.ed-ph2020★ 2 cited

Development and Experimental Validation of a Viscosity Meter for Newtonian and Non-Newtonian Fluids

Raúl O. Rojas, Juan C. Quijano, Claudia P. Tavera Ruiz +1

The study of viscosity, in the area of fluid physics at a university level, is of great importance because of the various applications that are presented in the different fields of…

physics.ed-ph2019

Experimental methods for the study of standing waves in strings

K. L. Cristiano, D. A. Triana, R. Ortiz +1

Several cases of the explanation of the phenomenon of standing waves in strings, there are few experimental measurement tools when demonstrating this phenomenon in a classroom, it…

physics.ed-ph2019

Teaching Forced Damped Oscillator Using RLC Circuit Through Inverse Modeling

K. L. Cristiano, D. A. Triana, R. Ortiz +1

Teaching by direct models in science has been weakening the learning process of the students, because the real problems in engineering are not solved by direct models instead commo…

physics.ed-ph2019

Python script used as simulator for the teaching of electric field in electromagnetism course

K. L. Cristiano, D. A. Triana, A. Estupiñán

We present this work like software tool developed in Python, based on a methodology to obtain the electric field produced by n charges. The tool was developed and implemented in co…