Homogeneous polymer blend microparticles with a tunable refractive index

Barnes, Michael D.; Kung, Chung-Yi; Lermer, N.; Fukui, Kazuhiko; Sumpter, Bobby G.; Noid, D. W.; Otaigbe, Joshua U.

doi:10.1364/ol.24.000121

Cited by 39 publications

(28 citation statements)

References 12 publications

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“…Birefringence is known for nanohybrids and polymeric materials and such materials are often used in sophisticated optical applications, such as flexible waveguides . Although the optical properties of these materials typically can be adjusted during synthesis of the material to meet specific requirements, it is uncommon that these materials display tunable birefringence after manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Nanohybrid Materials with Tunable Birefringence via Cation Exchange in Polymer Films

Oosterlaken

Rijt

et al. 2019

Adv Funct Materials

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In this work, a nanohybrid material based on a freestanding polymeric liquid crystal network capable of postmodification via cation exchange to tune birefringence is proposed. The smectic liquid crystal films can be infiltrated with a variety of cations, thereby changing the refractive indices (n e and n o ) and the effective birefringence (Δn) of the nanohybrid material, with reversible cation infiltration occurring within minutes. Birefringence could be tuned between values of 0.06 and 0.19, depending on the cation infiltrated into the network. Upon infiltration, a decrease in the smectic layer spacing is found with layer contraction independent of the induced change in birefringence. Potential applications are in the field of specialty optical devices, such as flexible, retunable reflective filters.

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Section: Introductionmentioning

confidence: 99%

Nanohybrid Materials with Tunable Birefringence via Cation Exchange in Polymer Films

Oosterlaken

Rijt

et al. 2019

Adv Funct Materials

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“…A 6000-atom particle model (pe6k) is shown in Figure 2.1. The structure of this model closely resembles droplet streams that can be generated experimentally [1,11]. An m-atom particle involves n = 3m degrees of freedom.…”

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confidence: 76%

Large-Scale Normal Coordinate Analysis for Molecular Structures

Yang

Peyton

Noid

et al. 2001

SIAM J. Sci. Comput.

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We apply truncated RQ-iteration (TRQ) and the Jacobi-Davidson (JD) method to perform vibrational (eigenvalue) analysis for large-scale molecular systems. Both algorithms employ a preconditioned iterative solver to construct a low-dimensional subspace that contains desired vibrational modes. We discuss several strategies for speeding up the eigenvalue calculation. In particular, we illustrate how to construct effective preconditioners and analyze the quality of these preconditioners. We show that convergence can be improved by choosing appropriate shifts and deflating the translational and rotational modes. Numerical examples are provided to demonstrate the efficiency of our computation.

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“…The droplets serve as model systems for sub-micron polymer particles recently produced by Barnes and coworkers. [5][6][7][8] For both particles and crystals, the potential energy, taken from Boyd, [115] is a sum of stretch, bend, torsion, and non-bonded terms For the non-bonded forces, a cutoff distance of 14 A is used. The neighbor list is built once at the beginning of the simulations and not changed thereafter in order to make the trajectory average with respect to an unchanging potential energy surface.…”

Section: Trajectory Averaged Normal Coordinate Analysismentioning

confidence: 99%

“…Our own interest in NCA was motivated in part by the work of Barnes and co-workers, [5][6][7][8] who developed a method for producing submicron polymer particles (also called droplets). NCA is one of the first steps in understanding the dynamics of these particles and in determining possible methods for spectroscopic characterization.…”

Section: Introductionmentioning

confidence: 99%

Normal Coordinate Analysis for Polymer Systems: Capabilities and New Opportunities

Tuzun¹,

Noid

Sumpter

et al. 2002

Macromol. Theory Simul.

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Normal coordinate analysis is an important tool in studying the structure, dynamics, and physical properties of polymer systems. In this article the capabilities of normal coordinate analysis (NCA) are explored in some detail. The use of the eigenvalues and eigenvectors from NCA is catalogued for a wide variety of purposes: for assigning or interpreting polymer spectra, for structural determination, for constructing force fields, for computing heat capacity and other thermodynamic properties, and for computing other physical properties. Examples are given for crystals, melts, and amorphous systems. Also described are methods for characterizing the normal mode vectors that are especially useful for larger systems, in which a large amount of data must be analyzed or where visualization or animation fails. Finally, a recently developed method for eliminating negative eigenvalues in systems with tens of thousands of atoms, trajectory averaging, is presented. Also described are several advances in numerical linear algebra for speeding up the diagonalization phase and for computing physical properties without requiring full diagonalization of the Hessian matrix.

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Homogeneous polymer blend microparticles with a tunable refractive index

Cited by 39 publications

References 12 publications

Nanohybrid Materials with Tunable Birefringence via Cation Exchange in Polymer Films

Nanohybrid Materials with Tunable Birefringence via Cation Exchange in Polymer Films

Large-Scale Normal Coordinate Analysis for Molecular Structures

Normal Coordinate Analysis for Polymer Systems: Capabilities and New Opportunities

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