Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Qiaoxi Li is active.

Publication


Featured researches published by Qiaoxi Li.


Advanced Materials | 2017

Bottlebrush Elastomers: A New Platform for Freestanding Electroactuation

Mohammad Vatankhah-Varnoosfaderani; William F. M. Daniel; Alexandr P. Zhushma; Qiaoxi Li; Benjamin J. Morgan; Krzysztof Matyjaszewski; Daniel P. Armstrong; Richard J. Spontak; Andrey V. Dobrynin; Sergei S. Sheiko

Freestanding, single-component dielectric actuators are designed based on bottlebrush elastomers that enable giant reversible strokes at relatively low electric fields and altogether avoid preactuation mechanical manipulation. This materials design platform allows for independent tuning of actuator rigidity and elasticity over broad ranges without changing chemical composition, which opens new opportunities in soft-matter robotics.


Nature Communications | 2016

Programming temporal shapeshifting

Xiaobo Hu; Jing Zhou; Mohammad Vatankhah-Varnosfaderani; William F. M. Daniel; Qiaoxi Li; Aleksandr P. Zhushma; Andrey V. Dobrynin; Sergei S. Sheiko

Shapeshifting enables a wide range of engineering and biomedical applications, but until now transformations have required external triggers. This prerequisite limits viability in closed or inert systems and puts forward the challenge of developing materials with intrinsically encoded shape evolution. Herein we demonstrate programmable shape-memory materials that perform a sequence of encoded actuations under constant environment conditions without using an external trigger. We employ dual network hydrogels: in the first network, covalent crosslinks are introduced for elastic energy storage, and in the second one, temporary hydrogen-bonds regulate the energy release rate. Through strain-induced and time-dependent reorganization of the reversible hydrogen-bonds, this dual network allows for encoding both the rate and pathway of shape transformations on timescales from seconds to hours. This generic mechanism for programming trigger-free shapeshifting opens new ways to design autonomous actuators, drug-release systems and active implants.


Macromolecular Rapid Communications | 2014

Exploring quality in gradient copolymers.

Andrea M. Elsen; Yuanchao Li; Qiaoxi Li; Sergei S. Sheiko; Krzysztof Matyjaszewski

Quality of gradient copolymers is evaluated by atomic force microscopy (AFM) and correlated with molecular weight distribution (MWD) values. ARGET ATRP is employed with decreasing levels of catalyst concentrations to generate copolymers with increasing M¯w/M¯n values. The copolymers are transformed into molecular bottlebrushes to enable imaging and analysis of individual molecules by AFM. The average height (cross-sectional) profile of all bottlebrushes agrees with the instantaneous composition (ICHEMA-TMS ) of the analogous copolymer backbone, as determined by (1) H NMR. The copolymer synthesized with 500 ppm of catalyst exhibits more narrow distributions of both brush height and backbone length when analyzed as a bottlebrush by AFM. Correspondingly, the copolymers synthesized with lower catalyst concentrations yield bottlebrushes with broader height and length distribution. These results establish MWD values as an excellent trait to assess quality within gradient copolymers.


ACS Applied Materials & Interfaces | 2015

Dynamic Optical Gratings Accessed by Reversible Shape Memory

Cary Tippets; Qiaoxi Li; Yulan Fu; Eugenii U. Donev; Jing Zhou; Sara Turner; Anne Martine S Jackson; Valerie Sheares Ashby; Sergei S. Sheiko; Rene Lopez

Shape memory polymers (SMPs) have been shown to accurately replicate photonic structures that produce tunable optical responses, but in practice, these responses are limited by the irreversibility of conventional shape memory processes. Here, we report the intensity modulation of a diffraction grating utilizing two-way reversible shape changes. Reversible shifting of the grating height was accomplished through partial melting and recrystallization of semicrystalline poly(octylene adipate). The concurrent variations of the grating shape and diffraction intensity were monitored via atomic force microscopy and first order diffraction measurements, respectively. A maximum reversibility of the diffraction intensity of 36% was repeatable over multiple cycles. To that end, the reversible shape memory process is shown to broaden the functionality of SMP-based optical devices.


ACS Applied Materials & Interfaces | 2018

Universal Coatings Based on Zwitterionic–Dopamine Copolymer Microgels

Mohammad Vatankhah-Varnoosfaderani; Xiaobo Hu; Qiaoxi Li; Hossein Adelnia; Maria Ina; Sergei S. Sheiko

Multifunctional coatings that adhere to chemically distinct substrates are vital in many industries, including automotive, aerospace, shipbuilding, construction, petrochemical, biomedical, and pharmaceutical. We design well-defined, nearly monodisperse microgels that integrate hydrophobic dopamine methacrylamide monomers and hydrophilic zwitterionic monomers. The dopamine functionalities operate as both intraparticle cross-linkers and interfacial binders, respectively providing mechanical strength of the coatings and their strong adhesion to different substrates. In tandem, the zwitterionic moieties enable surface hydration to empower antifouling and antifogging properties. Drop-casting of microgel suspensions in ambient as well as humid environments facilitates rapid film formation and tunable roughness through regulation of cross-linking density and deposition conditions.


Proceedings of SPIE | 2017

Bottlebrush elastomers: a promising molecular engineering route to tunable, prestrain-free dielectric elastomers (Conference Presentation)

Mohammad Vatankhah-Varnosfaderani; William F. M. Daniel; Alexandr P. Zhushma; Qiaoxi Li; Benjamin J. Morgan; Krzysztof Matyjaszewski; Daniel P. Armstrong; Andrey V. Dobrynin; Sergei S. Sheyko; Richard J. Spontak

Electroactive polymers (EAPs) refer to a broad range of relatively soft materials that change size and/or shape upon application of an electrical stimulus. Of these, dielectric elastomers (DEs) generated from either chemically- or physically-crosslinked polymer networks afford the highest levels of electroactuation strain, thereby making this class of EAPs the leading technology for artificial-muscle applications. While mechanically prestraining elastic networks remarkably enhances DEs electroactuation, external prestrain protocols severely limit both actuator performance and device implementation due to gradual DE stress relaxation and the presence of a cumbersome load frame. These drawbacks have persisted with surprisingly minimal advances in the actuation of single-component elastomers since the dawn of the “pre-strain era” introduced by Pelrine et al. (Science, 2000). In this work, we present a bottom-up, molecular-based strategy for the design of prestrain-free (freestanding) DEs derived from covalently-crosslinked bottlebrush polymers. This architecture, wherein design factors such as crosslink density, graft density and graft length can all be independently controlled, yields inherently strained polymer networks that can be readily adapted to a variety of chemistries. To validate the use of these molecularly-tunable materials as DEs, we have synthesized a series of bottlebrush silicone elastomers in as-cast shapes. Examination of these materials reveals that they undergo giant electroactuation strains (>300%) at relatively low fields (<10 V/m), thereby outperforming all commercial DEs to date and opening new opportunities in responsive soft-material technologies (e.g., robotics). The molecular design approach to controlling (electro)mechanical developed here is independent of chemistry and permits access to an unprecedented range of actuation properties from elastomeric materials with traditionally modest electroactuation performance (e.g., polydimethylsiloxane, PDMS). Experimental results obtained here compare favorably with theoretical predictions and demonstrate that the unique behavior of these materials is a direct consequence of the molecular architecture.


Proceedings of SPIE | 2017

Inherently pre-strained elastomers with self-healing property: new generation of freestanding electroactuators (Conference Presentation)

Mohammad Vatankhah Varnosfaderani; Sergei S. Sheiko; Krzysztof Matyjaszewski; William F. M. Daniel; Qiaoxi Li; Benjamin J. Morgan; Richard J. Spontak

Dielectric elastomers (DEs) are the leading technology for artificial muscles due to a favorable combination of large stroke, fast response, and high energy density. However, at large actuations, DEs are prone to spontaneous rupture from electromechanical instability. This shortcoming is currently circumvented by chemical or physical bracing, which increases bulk and rigidity of the total actuator assembly and leads to significant cutbacks in device efficiency and utility. Now, we present a molecular design platform for the creation of freestanding actuators that allow for large stroke (>300%) at low applied fields (<10 V μm-1) in unconstrained as cast shapes. This approach is based on bottlebrush architecture, which features inherently strained polymer networks that eliminate electromechanical instability and the need for bracing. Through accurate control of side-chain length and crosslink density, we obtained effective actuation properties on par with commercial actuators with the advantage of lighter weight, lower voltage operation, and ease of fabrication, which open new opportunities in soft-matter robotics. Furthermore, incorporation of dynamic reversible bonds ensures self-healing of rupture actuators.


Advanced Materials | 2015

Weak Hydrogen Bonding Enables Hard, Strong, Tough, and Elastic Hydrogels

Xiaobo Hu; Mohammad Vatankhah-Varnoosfaderani; Jing Zhou; Qiaoxi Li; Sergei S. Sheiko


Macromolecules | 2014

Shapeshifting: Reversible Shape Memory in Semicrystalline Elastomers ⊥

Jing Zhou; Sara Turner; Sarah M. Brosnan; Qiaoxi Li; Jan Michael Y Carrillo; Dmytro Nykypanchuk; Oleg Gang; Valerie Sheares Ashby; Andrey V. Dobrynin; Sergei S. Sheiko


Macromolecules | 2016

Advancing Reversible Shape Memory by Tuning the Polymer Network Architecture

Qiaoxi Li; Jing Zhou; Mohammad Vatankhah-Varnoosfaderani; Dmytro Nykypanchuk; Oleg Gang; Sergei S. Sheiko

Collaboration


Dive into the Qiaoxi Li's collaboration.

Top Co-Authors

Avatar

Sergei S. Sheiko

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

Jing Zhou

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Sara Turner

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

Valerie Sheares Ashby

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Mohammad Vatankhah-Varnoosfaderani

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

William F. M. Daniel

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

Xiaobo Hu

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar

Benjamin J. Morgan

University of North Carolina at Chapel Hill

View shared research outputs
Researchain Logo
Decentralizing Knowledge