Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies

The introduction of dynamic bonds in polymeric materials facilitates the emergence of new functionalities, such as self-healing capacity. Understanding the role of the molecular structure in the efficiency of the self-healing process is fundamental to design new materials with improved features. Com...

Full description

Bibliographic Details
Main Authors: Mikel Irigoyen, Jon M. Matxain, Fernando Ruipérez
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Materials
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2022.859482/full
_version_ 1818315646275944448
author Mikel Irigoyen
Jon M. Matxain
Fernando Ruipérez
author_facet Mikel Irigoyen
Jon M. Matxain
Fernando Ruipérez
author_sort Mikel Irigoyen
collection DOAJ
description The introduction of dynamic bonds in polymeric materials facilitates the emergence of new functionalities, such as self-healing capacity. Understanding the role of the molecular structure in the efficiency of the self-healing process is fundamental to design new materials with improved features. Computational chemistry has emerged as a valuable tool for the characterization of polymeric materials. In this work, computational chemistry is used to analyze the observed self-healing capacity of a set of disulfide-containing polyurethanes and polymethacrylates, including different hard segments and dynamic bonds. For this purpose, a recently developed theoretical protocol has been used. This protocol is based on three parameters: the probability of generating radicals by cleavage of the disulfide bond, the energetic barrier of the exchange reaction among disulfides and the dynamics of the polymeric chains. This protocol is able to qualitatively explain the experimental self-healing properties of these materials. In particular, it explains both the great performance of two materials and the lack of self-healing capacity of another two. Besides, it can also describe the improvement of the self-healing capacity with increasing temperature. These results demonstrate the robustness and usefulness of this approach for the analysis and prediction of self-healing properties in polymeric materials. Therefore, this protocol allows to predict new materials with improved properties and will help the experimental community in the development of these improved materials.
first_indexed 2024-12-13T09:08:50Z
format Article
id doaj.art-0cc86d4e3aea4c9c91340aebe6e3a8db
institution Directory Open Access Journal
issn 2296-8016
language English
last_indexed 2024-12-13T09:08:50Z
publishDate 2022-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Materials
spelling doaj.art-0cc86d4e3aea4c9c91340aebe6e3a8db2022-12-21T23:53:00ZengFrontiers Media S.A.Frontiers in Materials2296-80162022-03-01910.3389/fmats.2022.859482859482Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case StudiesMikel Irigoyen0Jon M. Matxain1Fernando Ruipérez2Kimika Fakultatea, Euskal Herriko Unibertsitatea UPV/EHU and Donostia International Physics Center (DIPC), Donostia, SpainKimika Fakultatea, Euskal Herriko Unibertsitatea UPV/EHU and Donostia International Physics Center (DIPC), Donostia, SpainPOLYMAT and Physical Chemistry Department, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, SpainThe introduction of dynamic bonds in polymeric materials facilitates the emergence of new functionalities, such as self-healing capacity. Understanding the role of the molecular structure in the efficiency of the self-healing process is fundamental to design new materials with improved features. Computational chemistry has emerged as a valuable tool for the characterization of polymeric materials. In this work, computational chemistry is used to analyze the observed self-healing capacity of a set of disulfide-containing polyurethanes and polymethacrylates, including different hard segments and dynamic bonds. For this purpose, a recently developed theoretical protocol has been used. This protocol is based on three parameters: the probability of generating radicals by cleavage of the disulfide bond, the energetic barrier of the exchange reaction among disulfides and the dynamics of the polymeric chains. This protocol is able to qualitatively explain the experimental self-healing properties of these materials. In particular, it explains both the great performance of two materials and the lack of self-healing capacity of another two. Besides, it can also describe the improvement of the self-healing capacity with increasing temperature. These results demonstrate the robustness and usefulness of this approach for the analysis and prediction of self-healing properties in polymeric materials. Therefore, this protocol allows to predict new materials with improved properties and will help the experimental community in the development of these improved materials.https://www.frontiersin.org/articles/10.3389/fmats.2022.859482/fullself-healingdynamic chemistrydisulfidespolymerscomputational chemistry
spellingShingle Mikel Irigoyen
Jon M. Matxain
Fernando Ruipérez
Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
Frontiers in Materials
self-healing
dynamic chemistry
disulfides
polymers
computational chemistry
title Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
title_full Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
title_fullStr Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
title_full_unstemmed Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
title_short Combined DFT and MD Simulation Protocol to Characterize Self-Healing Properties in Disulfide-Containing Materials: Polyurethanes and Polymethacrylates as Case Studies
title_sort combined dft and md simulation protocol to characterize self healing properties in disulfide containing materials polyurethanes and polymethacrylates as case studies
topic self-healing
dynamic chemistry
disulfides
polymers
computational chemistry
url https://www.frontiersin.org/articles/10.3389/fmats.2022.859482/full
work_keys_str_mv AT mikelirigoyen combineddftandmdsimulationprotocoltocharacterizeselfhealingpropertiesindisulfidecontainingmaterialspolyurethanesandpolymethacrylatesascasestudies
AT jonmmatxain combineddftandmdsimulationprotocoltocharacterizeselfhealingpropertiesindisulfidecontainingmaterialspolyurethanesandpolymethacrylatesascasestudies
AT fernandoruiperez combineddftandmdsimulationprotocoltocharacterizeselfhealingpropertiesindisulfidecontainingmaterialspolyurethanesandpolymethacrylatesascasestudies