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Engineering the Mechanical Properties of Polymer Networks with Precise Doping of Primary Defects.
Chan, Doreen; Ding, Yichuan; Dauskardt, Reinhold H; Appel, Eric A.
Afiliação
  • Chan D; Department of Chemistry and ‡Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Ding Y; Department of Chemistry and ‡Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Dauskardt RH; Department of Chemistry and ‡Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Appel EA; Department of Chemistry and ‡Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
ACS Appl Mater Interfaces ; 9(48): 42217-42224, 2017 Dec 06.
Article em En | MEDLINE | ID: mdl-29135222
ABSTRACT
Polymer networks are extensively utilized across numerous applications ranging from commodity superabsorbent polymers and coatings to high-performance microelectronics and biomaterials. For many applications, desirable properties are known; however, achieving them has been challenging. Additionally, the accurate prediction of elastic modulus has been a long-standing difficulty owing to the presence of loops. By tuning the prepolymer formulation through precise doping of monomers, specific primary network defects can be programmed into an elastomeric scaffold, without alteration of their resulting chemistry. The addition of these monomers that respond mechanically as primary defects is used both to understand their impact on the resulting mechanical properties of the materials and as a method to engineer the mechanical properties. Indeed, these materials exhibit identical bulk and surface chemistry, yet vastly different mechanical properties. Further, we have adapted the real elastic network theory (RENT) to the case of primary defects in the absence of loops, thus providing new insights into the mechanism for material strength and failure in polymer networks arising from primary network defects, and to accurately predict the elastic modulus of the polymer system. The versatility of the approach we describe and the fundamental knowledge gained from this study can lead to new advancements in the development of novel materials with precisely defined and predictable chemical, physical, and mechanical properties.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article