共 50 条
Sticky Architecture: Encoding Pressure Sensitive Adhesion in Polymer Networks
被引:22
|作者:
Maw, Mitchell
[1
]
Dashtimoghadam, Erfan
[1
]
Keith, Andrew N.
[1
]
Morgan, Benjamin J.
[1
]
Tanas, Alexander K.
[1
]
Nikitina, Evgeniia
[2
]
Ivanov, Dimitri A.
[3
]
Vatankhah-Varnosfaderani, Mohammad
[1
]
V. Dobrynin, Andrey
[1
]
Sheiko, Sergei S.
[1
]
机构:
[1] Univ North Carolina Chapel Hill, Dept Chem, Chapel Hill, NC 27599 USA
[2] Lomonosov Moscow State Univ, Moscow 119991, Russia
[3] Inst Sci Materiaux Mulhouse IS2M, F-68057 Mulhouse, France
基金:
美国国家科学基金会;
关键词:
CAVITATION;
BEHAVIOR;
DESIGN;
D O I:
10.1021/acscentsci.2c01407
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
Pressure sensitive adhesives (PSAs) are ubiquitous materials within a spectrum that span from office supplies to biomedical devices. Currently, the ability of PSAs to meet the needs of these diverse applications relies on trial-and-error mixing of assorted chemicals and polymers, which inherently entails property imprecision and variance over time due to component migration and leaching. Herein, we develop a precise additive-free PSA design platform that predictably leverages polymer network architecture to empower comprehensive control over adhesive performance. Utilizing the chemical universality of brush-like elastomers, we encode work of adhesion ranging 5 orders of magnitude with a single polymer chemistry by coordinating brush architectural parameters-side chain length and grafting density. Lessons from this design-by-architecture approach are essential for future implementation of AI machinery in molecular engineering of both cured and thermoplastic PSAs incorporated into everyday use.
引用
收藏
页码:197 / 205
页数:9
相关论文