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Dive into the research topics where William F. M. Daniel is active.

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Featured researches published by William F. M. Daniel.


Nature Materials | 2016

Solvent-free, supersoft and superelastic bottlebrush melts and networks.

William F. M. Daniel; Joanna Burdyńska; Mohammad Vatankhah-Varnoosfaderani; Krzysztof Matyjaszewski; Jaroslaw Paturej; Michael Rubinstein; Andrey V. Dobrynin; Sergei S. Sheiko

Polymer gels are the only viable class of synthetic materials with a Youngs modulus below 100 kPa conforming to biological applications, yet those gel properties require a solvent fraction. The presence of a solvent can lead to phase separation, evaporation and leakage on deformation, diminishing gel elasticity and eliciting inflammatory responses in any surrounding tissues. Here, we report solvent-free, supersoft and superelastic polymer melts and networks prepared from bottlebrush macromolecules. The brush-like architecture expands the diameter of the polymer chains, diluting their entanglements without markedly increasing stiffness. This adjustable interplay between chain diameter and stiffness makes it possible to tailor the networks elastic modulus and extensibility without the complications associated with a swollen gel. The bottlebrush melts and elastomers exhibit an unprecedented combination of low modulus (∼100 Pa), high strain at break (∼1,000%), and extraordinary elasticity, properties that are on par with those of designer gels.


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.


Nature | 2017

Mimicking biological stress–strain behaviour with synthetic elastomers

Mohammad Vatankhah-Varnosfaderani; William F. M. Daniel; Matthew H. Everhart; Ashish A. Pandya; Heyi Liang; Krzysztof Matyjaszewski; Andrey V. Dobrynin; Sergei S. Sheiko

Despite the versatility of synthetic chemistry, certain combinations of mechanical softness, strength, and toughness can be difficult to achieve in a single material. These combinations are, however, commonplace in biological tissues, and are therefore needed for applications such as medical implants, tissue engineering, soft robotics, and wearable electronics. Present materials synthesis strategies are predominantly Edisonian, involving the empirical mixing of assorted monomers, crosslinking schemes, and occluded swelling agents, but this approach yields limited property control. Here we present a general strategy for mimicking the mechanical behaviour of biological materials by precisely encoding their stress–strain curves in solvent-free brush- and comb-like polymer networks (elastomers). The code consists of three independent architectural parameters—network strand length, side-chain length and grafting density. Using prototypical poly(dimethylsiloxane) elastomers, we illustrate how this parametric triplet enables the replication of the strain-stiffening characteristics of jellyfish, lung, and arterial tissues.


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.


Macromolecules | 2017

Dynamics of Dual Networks: Strain Rate and Temperature Effects in Hydrogels with Reversible H-Bonds

Xiaobo Hu; Jing Zhou; William F. M. Daniel; Mohammad Vatankhah-Varnoosfaderani; Andrey V. Dobrynin; Sergei S. Sheiko


Macromolecules | 2015

Molecular Bottlebrushes with Bimodal Length Distribution of Side Chains

Joanna Burdyńska; William F. M. Daniel; Yuanchao Li; Brittany Robertson; Sergei S. Sheiko; Krzysztof Matyjaszewski


Polymer | 2016

Liquid perfluoropolyether electrolytes with enhanced ionic conductivity for lithium battery applications

Kevin R. Olson; Dominica H. C. Wong; Mahati Chintapalli; Ksenia Timachova; Rima Janusziewicz; William F. M. Daniel; Sue J. Mecham; Sergei S. Sheiko; Nitash P. Balsara; Joseph M. DeSimone


Polymer | 2016

Preparation of titania nanoparticles with tunable anisotropy and branched structures from core–shell molecular bottlebrushes

Guojun Xie; Hangjun Ding; William F. M. Daniel; Zongyu Wang; Joanna Pietrasik; Sergei S. Sheiko; Krzysztof Matyjaszewski

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Sergei S. Sheiko

University of North Carolina at Chapel Hill

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Joanna Burdyńska

Carnegie Mellon University

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Guojun Xie

Carnegie Mellon University

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Michael Rubinstein

University of North Carolina at Chapel Hill

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Mohammad Vatankhah-Varnosfaderani

University of North Carolina at Chapel Hill

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Qiaoxi Li

University of North Carolina at Chapel Hill

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Benjamin J. Morgan

University of North Carolina at Chapel Hill

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Matthew H. Everhart

University of North Carolina at Chapel Hill

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