Next Article in Journal
Spatial and Temporal Validation of a CFD Model Using Residence Time Distribution Test in a Tubular Reactor
Previous Article in Journal
A Modified Heart Dipole Model for the Generation of Pathological ECG Signals
 
 
Article
Peer-Review Record

The Influence of Pressure on the Formation of FM/AF Configurations in LSMO Films: A Monte Carlo Approach

by Hugo Hernán Ortiz-Álvarez 1,2, Francy Nelly Jiménez-García 2,3, Carolina Márquez-Narváez 3, José Dario Agudelo-Giraldo 3 and Elisabeth Restrepo-Parra 2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Computation 2020, 8(4), 93; https://doi.org/10.3390/computation8040093
Submission received: 23 September 2020 / Revised: 26 October 2020 / Accepted: 29 October 2020 / Published: 6 November 2020
(This article belongs to the Section Computational Chemistry)

Round 1

Reviewer 1 Report

The paper is a avery careful study on the effect od the pressure on LSMO thin films, analysing its effect on different kinds of interaction . It is well written, discussion and conclusions are supported by obtained results as well as by numerous articles , including experimental ones, of other authors. I conclusion  I recommend  its publication in the present form.

Author Response

Thanks to the reviewer for suggesting acceptance of the article in the present form

Reviewer 2 Report

The authors present the Monte Carlo simulation to identify the magnetic properties of thin films. They used the generic parameters, and then mechanical constants, e.g., Young's modulus and Poisson's ratio are employed to study the pressure effect.
In total, the paper is well-written and is suitable for publication.
The authors are suggested to update the introduction by introducing the recently published papers using Monte Carlo simulations in nanoelectronics and mechanics. To that end, the following papers are suggested:

1) An adaptive multilevel Monte Carlo method for the stochastic drift-diffusion-Poisson system, Computer Methods in Applied Mechanics and Engineering, https://0-doi-org.brum.beds.ac.uk/10.1016/j.cma.2020.113163

2) Bayesian inversion for nanowire field-effect sensors, Journal of Computational Electronics, https://0-doi-org.brum.beds.ac.uk/10.1007/s10825-019-01417-0

3) A Bayesian estimation method for variational phase-field fracture problems, Computational Mechanics, https://0-doi-org.brum.beds.ac.uk/10.1007/s00466-020-01876-4

Author Response

In accordance with the second evaluator's suggestions, two references from 2002 and 2010 were updated by two from 2020.

Back to TopTop