Elucidating the electron transport in semiconductors via Monte Carlo simulations: an inquiry-driven learning path for engineering undergraduates

Abstract

Within the context of higher education for science or engineering undergraduates, we present an inquiry-driven learning path aimed at developing a more meaningful conceptual understanding of the electron dynamics in semiconductors in the presence of applied electric fields. The electron transport in a nondegenerate n-type indium phosphide bulk semiconductor is modelled using a multivalley Monte Carlo approach. The main characteristics of the electron dynamics are explored under different values of the driving electric field, lattice temperature and impurity density. Simulation results are presented by following a question-driven path of exploration, starting from the validation of the model and moving up to reasoned inquiries about the observed characteristics of electron dynamics. Our inquiry-driven learning path, based on numerical simulations, represents a viable example of how to integrate a traditional lecture-based teaching approach with effective learning strategies, providing science or engineering undergraduates with practical opportunities to enhance their comprehension of the physics governing the electron dynamics in semiconductors. Finally, we present a general discussion about the advantages and disadvantages of using an inquiry-based teaching approach within a learning environment based on semiconductor simulations.

Computer simulations to approach surface tension by means of a simple mesoscopic mechanical model

“…Different SPH models of surface tension have been recently discussed in the literature [4,9,20,25]. Among these, the so-called interparticle force model is in our 1 The equations of motion of these particles in the liquid are determined by the continuum equations of fluid dynamics with interpolation from the particles, which have, therefore, to be partially overlapping. opinion better suitable for didactical purpose because of its simplicity and easiness of implementation in computer code.…”

“…As it is well-known, computer-based modeling environments can supply students with effective pedagogical strategies dealing with complex real-world systems and everyday problem solutions [1,3,6,10,19]. Research has shown that computer simulations can efficiently raise student's interest in learning by vivid graphical construction and animation [12,24] and be used to help students to gain insights into phenomena and overcome mathematical difficulties [14].…”

Nonlinear Relaxation Phenomena in Metastable Condensed Matter Systems

“…The electron transport dynamics is simulated by a semiclassical Monte Carlo algorithm, which takes into account all the possible scattering events of the hot electrons in the medium [154,155] and includes the precession equation of the spin polarisation vector for each free carrier [149,156,157]. The Monte Carlo algorithm has been implemented by using a Multiparticle Multivalley FORTRAN Code, following the procedure extensively described in [158].…”

Active learning in a real‐world bioengineering problem: A pilot‐study on ophthalmologic data processing

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