Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Application of digital twins for simulation based tailoring of laser induced graphene

  • Identification data

    Identifier: imarina:9366395
  • Authors:

    José Carlos Santos-Ceballos, Foad Salehnia, Alfonso Romero, Xavier Vilanova
    Scientific Reports
    10.1038/s41598-024-61237-6
    Scientific Reports. 14 (14): 10363-10
  • Others:

    Author, as appears in the article.: José Carlos Santos-Ceballos, Foad Salehnia, Alfonso Romero, Xavier Vilanova
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Romero Nevado, Alfonso José / Salehnia, Foad / Santos Ceballos, José Carlos / Vilanova Salas, Javier
    Abstract: In the era of man–machine interfaces, digital twins stand as a key technology, offering virtual representations of real-world objects, processes, and systems through computational models. They enable novel ways of interacting with, comprehending, and manipulating real-world entities within a virtual realm. The real implementation of graphene-based sensors and electronic devices remains challenging due to the integration complexities of high-quality graphene materials with existing manufacturing processes. To address this, scalable techniques for the in-situ fabrication of graphene-like materials are essential. One promising method involves using a CO2 laser to convert polyimide into graphene. Optimizing this graphitization process is hindered by complex parameter interactions and nonlinear terms. This article explores how these digital replicas can enhance the fabrication of laser-induced graphene (LIG) through laser simulation and machine learning methods to enable rapid single-step LIG patterning. This approach aims to create a universal simulation for all CO2 lasers, calculating optical energy flux and utilizing machine learning to control and predict LIG conductivity (ability to conduct current), morphology, and electrical resistance. The proposed procedure, integrating digital twins in the LIG production process, will avoid or reduce the preliminary tests required to determine the proper laser parameters to reach the desired LIG characteristics. Accordingly, this approach will reduce the time and costs associated with these tests and thus increase the efficiency and optimize the procedure.
    Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: foad.salehnia@urv.cat josecarlos.santos@urv.cat josecarlos.santos@urv.cat xavier.vilanova@urv.cat alfonsojose.romero@urv.cat
    Author identifier: 0000-0002-6245-7933 0000-0003-3502-0813
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/s41598-024-61237-6
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Scientific Reports. 14 (14): 10363-10
    APA: José Carlos Santos-Ceballos, Foad Salehnia, Alfonso Romero, Xavier Vilanova (2024). Application of digital twins for simulation based tailoring of laser induced graphene. Scientific Reports, 14(14), 10363-10. DOI: 10.1038/s41598-024-61237-6
    Article's DOI: 10.1038/s41598-024-61237-6
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    Multidisciplinary,Multidisciplinary Sciences
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Letras / linguística
    Interdisciplinar
    Geografía
    Geociências
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Enfermagem
    Educação física
    Educação
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
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