Related Experiment Video
Updated: Jan 31, 2026

Generation of Scalable, Metallic High-Aspect Ratio Nanocomposites in a Biological Liquid Medium
Published on: July 8, 2015
Poisson ratio mismatch drives low-strain reinforcement in elastomeric nanocomposites
Scott M Smith1, David S Simmons2
1Department of Polymer Engineering, University of Akron, Akron, Ohio 44325, USA.
Abstract:
Introduction of nanoparticulate additives can dramatically impact elastomer mechanical response, with large enhancements in modulus, toughness, and strength. Despite the societal importance of these effects, their mechanistic origin remains unsettled. Here, using a combination of theory and molecular dynamics simulation, we show that low-strain extensional reinforcement of elastomers is driven by a nanoparticulate-jamming-induced suppression in the composite Poisson ratio. This suppression forces an increase in rubber volume with extensional deformation, effectively converting a portion of the rubber's bulk modulus into an extensional modulus. A theory describing this effect is shown to interrelate the Poisson ratio and modulus across a matrix of simulated elastomeric nanocomposites of varying loading and nanoparticle structure. This model provides a design rule for structured nanoparticulates that maximizes elastomer mechanical response via suppression of the composite Poisson ratio. It also positions elastomeric nanocomposites as having a qualitatively different character than Poisson-ratio-matched plastic nanocomposites, where this mechanism is absent.
Related Concept Videos
Poisson's Ratio
Mismatch Repair
Mismatch Repair
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity
Reinforcement
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
Poisson Probability Distribution
The...

