21 results on '"David J. Pine"'
Search Results
2. Soft matter roadmap
- Author
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Jean-Louis Barrat, Emanuela Del Gado, Stefan U Egelhaaf, Xiaoming Mao, Marjolein Dijkstra, David J Pine, Sanat K Kumar, Kyle Bishop, Oleg Gang, Allie Obermeyer, Christine M Papadakis, Constantinos Tsitsilianis, Ivan I Smalyukh, Aurelie Hourlier-Fargette, Sebastien Andrieux, Wiebke Drenckhan, Norman Wagner, Ryan P Murphy, Eric R Weeks, Roberto Cerbino, Yilong Han, Luca Cipelletti, Laurence Ramos, Wilson C K Poon, James A Richards, Itai Cohen, Eric M Furst, Alshakim Nelson, Stephen L Craig, Rajesh Ganapathy, Ajay Kumar Sood, Francesco Sciortino, Muhittin Mungan, Srikanth Sastry, Colin Scheibner, Michel Fruchart, Vincenzo Vitelli, S A Ridout, M Stern, I Tah, G Zhang, Andrea J Liu, Chinedum O Osuji, Yuan Xu, Heather M Shewan, Jason R Stokes, Matthias Merkel, Pierre Ronceray, Jean-François Rupprecht, Olga Matsarskaia, Frank Schreiber, Felix Roosen-Runge, Marie-Eve Aubin-Tam, Gijsje H Koenderink, Rosa M Espinosa-Marzal, Joaquin Yus, and Jiheon Kwon
- Subjects
soft ,materials ,matter ,complex ,polymer ,colloid ,Materials of engineering and construction. Mechanics of materials ,TA401-492 ,Physics ,QC1-999 - Abstract
Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g. tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations. This Roadmap intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterisation, instrumental, simulation and theoretical methods as well as general concepts.
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- 2023
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3. Colloidal fibers and rings by cooperative assembly
- Author
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Joon Suk Oh, Sangmin Lee, Sharon C. Glotzer, Gi-Ra Yi, and David J. Pine
- Subjects
Science - Abstract
Janus colloids with an attractive patch on the surface are model systems to explore structure formation but experimental realizations of such particles are rare. Here, the authors report a scalable method to precisely vary the Janus balance over a wide range and observe the formation of various structures including fibers, bilayers, and nonequilibrium rings catalyzed by substrate binding.
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- 2019
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4. Ultrasonic chaining of emulsion droplets
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Mohammed A. Abdelaziz, Jairo A. Díaz A., Jean-Luc Aider, David J. Pine, David G. Grier, and Mauricio Hoyos
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Physics ,QC1-999 - Abstract
Emulsion droplets trapped in an ultrasonic levitator organize themselves in a way that solid spheres do not. Rather than coalescing into planar colloidal crystals, monodisperse emulsion droplets instead form single-file chains. These chains' collective behavior and their influence on nearby droplets suggest that their constituent droplets are spinning rapidly around their common axis. Such acoustically induced spinning also distinguishes fluid droplets from solid spheres and naturally accounts for the droplets' propensity to form chains. In this interpretation, solid spheres do not form chains because they do not spin. We demonstrate the chain-to-crystal transition with a model system in which fluid emulsion droplets can be photopolymerized into solid spheres without significantly changing other material properties. The behavior of this experimental system is quantitatively consistent with an acoustohydrodynamic model for spinning spheres in an acoustic levitator. This study therefore introduces acoustically driven spinning as a mechanism for guiding self-organization of acoustically levitated matter.
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- 2021
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5. Effect of Photon Counting Shot Noise on Total Internal Reflection Microscopy
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Fan Cui and David J. Pine
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Physics ,Time delay and integration ,Physics - Instrumentation and Detectors ,Scattering ,business.industry ,Shot noise ,Total internal reflection microscopy ,FOS: Physical sciences ,General Chemistry ,Instrumentation and Detectors (physics.ins-det) ,Condensed Matter - Soft Condensed Matter ,Condensed Matter Physics ,Measure (mathematics) ,Photon counting ,Optics ,Physics - Data Analysis, Statistics and Probability ,Particle ,Soft Condensed Matter (cond-mat.soft) ,business ,Image resolution ,Data Analysis, Statistics and Probability (physics.data-an) - Abstract
Total internal reflection microscopy (TIRM) measures changes in the distance between a colloidal particle and a transparent substrate by measuring the intensity of light scattered by the particle when it is illuminated by the evanescent field that is created from light totally internally reflected at the substrate interface. From these measurements, the height-dependent effective potential $\varphi(z)$ between the colloidal particle and the substrate can be measured. The spatial resolution with which TIRM can resolve the height $z$ and effective potential $\varphi(z)$ is limited by the intrinsic shot noise of the photon counting process used to measure the scattered light intensity. We develop a model to determine the spatial resolution with which TIRM can measure $\varphi(z)$ and verify its validity with simulations and experiments. We further establish the critical role of photon-counting statistics and the intensity integration time $\tau$ in TIRM measurements, which is a trade-off between narrowing the width of the photon counting distribution and capturing the instantaneous position of the probe particle., Comment: 10 pages, 7 figures
- Published
- 2021
6. Introduction to Python for Science and Engineering
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David J. Pine and David J. Pine
- Subjects
- Python (Computer program language), Computer programming, Engineering--Data processing, Science--Data processing
- Abstract
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms.Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments.All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.
- Published
- 2024
7. Introduction to Python for Science and Engineering
- Author
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David J. Pine and David J. Pine
- Subjects
- Computer programming, Python (Computer program language), Science--Data processing, Engineering--Data processing
- Abstract
Series in Computational PhysicsSteven A. Gottlieb and Rubin H. Landau, Series EditorsIntroduction to Python for Science and EngineeringThis guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader.David J. Pine is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.
- Published
- 2019
8. Self-replication of information-bearing nanoscale patterns
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Remi Dreyfus, Mirjam E. Leunissen, Paul Chaikin, Nadrian C. Seeman, David J. Pine, Corinna C. Maass, Ruojie Sha, Tong Wang, Tianjin University (TJU), Laboratoire Colloïdes et Matériaux Divisés (LCMD), Centre National de la Recherche Scientifique (CNRS)-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Center for Soft Matter Research [New-York] (CSMR), New York University [New York] (NYU), and NYU System (NYU)-NYU System (NYU)
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DNA Replication ,Initial Seed ,Process (engineering) ,Molecular Sequence Data ,Nanotechnology ,02 engineering and technology ,Computational biology ,Biology ,010402 general chemistry ,Microscopy, Atomic Force ,01 natural sciences ,Models, Biological ,Seed sequence ,Article ,chemistry.chemical_compound ,Exponential growth ,Biomimetic Materials ,Nucleotide Motifs ,ComputingMilieux_MISCELLANEOUS ,Multidisciplinary ,[PHYS.PHYS]Physics [physics]/Physics [physics] ,Base Sequence ,DNA replication ,Computational Biology ,Hydrogen Bonding ,DNA ,021001 nanoscience & nanotechnology ,First generation ,0104 chemical sciences ,Nanostructures ,Self-replication ,chemistry ,Nucleic Acid Conformation ,[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph] ,Streptavidin ,0210 nano-technology ,Software - Abstract
DNA molecules provide what is probably the most iconic example of self-replication—the ability of a system to replicate, or make copies of, itself. In living cells the process is mediated by enzymes and occurs autonomously, with the number of replicas increasing exponentially over time without the need for external manipulation. Self-replication has also been implemented with synthetic systems, including RNA enzymes designed to undergo self-sustained exponential amplification1-5. An exciting next step would be to use self-replication in materials fabrication, which requires robust and general systems capable of copying and amplifying functional materials or structures. Here we report a first development in this direction, using DNA tile motifs that can recognize and bind complementary tiles in a pre-programmed fashion. We first design tile motifs so they form a seven-tile seed sequence, then use the seeds to instruct the formation of a first generation of complementary seven-tile daughter sequences, and finally use the daughters to instruct the formation of seven-tile granddaughter sequences that are identical to the initial seed sequences. Considering that DNA is a functional material that can organize itself and other molecules into useful structures6-13, our findings raise the tantalizing prospect that we may one day be able to realize self-replicating materials with various patterns or useful functions.
- Published
- 2011
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9. Photoactivated Colloidal Dockers for Cargo Transportation
- Author
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Adrian Vatchinsky, David J. Pine, Stefano Sacanna, Jeremie Palacci, and Paul Chaikin
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Chemistry ,FOS: Physical sciences ,Nanotechnology ,General Chemistry ,Hematite ,Condensed Matter - Soft Condensed Matter ,Biochemistry ,Catalysis ,Colloid ,Colloid and Surface Chemistry ,visual_art ,DOCK ,visual_art.visual_art_medium ,Photocatalysis ,Soft Condensed Matter (cond-mat.soft) ,Small particles ,Concentration gradient ,Nanoscopic scale ,Visible spectrum - Abstract
We introduce a self-propelled colloidal hematite docker that can be steered to a small particle cargo many times its size, dock, transport the cargo to a remote location, and then release it. The self-propulsion and docking are reversible and activated by visible light. The docker can be steered either by a weak uniform magnetic field or by nanoscale tracks in a textured substrate. The light-activated motion and docking originate from osmotic/phoretic particle transport in a concentration gradient of fuel, hydrogen peroxide, induced by the photocatalytic activity of the hematite. The docking mechanism is versatile and can be applied to various materials and shapes. The hematite dockers are simple single-component particles and are synthesized in bulk quantities. This system opens up new possibilities for designing complex micrometer-size factories as well as new biomimetic systems., accepted for publication in JACS
- Published
- 2013
10. Transverse Alignment of Fibers in a Periodically Sheared Suspension: An Absorbing Phase Transition with a Slowly Varying Control Parameter
- Author
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Elisabeth Guazzelli, Alexandre Franceschini, Emmanouela Filippidi, David J. Pine, Center for Soft Matter Research [New-York] (CSMR), New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Institut universitaire des systèmes thermiques industriels (IUSTI), and Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
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Shearing (physics) ,0565+b ,Phase transition ,Materials science ,Condensed matter physics ,business.industry ,General Physics and Astronomy ,01 natural sciences ,Directed percolation ,0570Ln ,010305 fluids & plasmas ,8310Pp ,Condensed Matter::Soft Condensed Matter ,Transverse plane ,Optics ,Critical point (thermodynamics) ,numbers: 6470km ,0103 physical sciences ,Perpendicular ,[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] ,010306 general physics ,business ,Critical exponent ,Scaling - Abstract
International audience; Shearing solutions of fibers or polymers tends to align fiber or polymers in the flow direction. Here, non-Brownian rods subjected to oscillatory shear align perpendicular to the flow while the system undergoes a nonequilibrium absorbing phase transition. The slow alignment of the fibers can drive the system through the critical point and thus promote the transition to an absorbing state. This picture is confirmed by a universal scaling relation that collapses the data with critical exponents that are consistent with conserved directed percolation.
- Published
- 2011
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11. Aggregation-disaggregation transition of DNA-coated colloids: Experiments and theory
- Author
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Nadrian C. Seeman, Remi Dreyfus, Mirjam E. Leunissen, David J. Pine, Alexei V. Tkachenko, Paul Chaikin, Roujie Sha, Laboratoire Colloïdes et Matériaux Divisés (LCMD), Centre National de la Recherche Scientifique (CNRS)-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Center for Soft Matter Research [New-York] (CSMR), New York University [New York] (NYU), and NYU System (NYU)-NYU System (NYU)
- Subjects
Materials science ,Hot Temperature ,Entropy ,Kinetics ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,Nucleic acid thermodynamics ,Colloid ,Engineering ,Sticky and blunt ends ,Colloids ,Particle Size ,ComputingMilieux_MISCELLANEOUS ,[PHYS]Physics [physics] ,Nucleic Acid Hybridization ,Statistical mechanics ,DNA ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Models, Chemical ,Chemical physics ,Particle size ,Self-assembly ,Adsorption ,0210 nano-technology ,Entropy (order and disorder) - Abstract
Colloids coated with complementary single-stranded DNA "sticky ends" associate and dissociate upon heating. Recently, microscopy experiments have been carried out where this association-dissociation transition has been investigated for different types of DNA and different DNA coverages [R. Dreyfus, M. E. Leunissen, R. Sha, A. V. Tkachenko, N. C. Seeman, D. J. Pine, and P. M. Chaikin, Phys. Rev. Lett. 102, 048301 (2009)]. It has been shown that this transition can be described by a simple quantitative model which takes into account the features of the tethered DNA on the particles and unravels the importance of an entropy cost due to DNA confinement between the surfaces. In this paper, we first present an extensive description of the experiments that were carried out. A step-by-step model is then developed starting from the level of statistical mechanics of tethered DNA to that of colloidal aggregates. This model is shown to describe the experiments with excellent agreement for the temperature and width of the transition, which are both essential properties for complex self-assembly processes.
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- 2010
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12. Simple Quantitative Model for the Reversible Association of DNA Coated Colloids
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David J. Pine, Paul Chaikin, Alexei V. Tkachenko, Nadrian C. Seeman, Remi Dreyfus, Mirjam E. Leunissen, Roujie Sha, Laboratoire Colloïdes et Matériaux Divisés (LCMD), Centre National de la Recherche Scientifique (CNRS)-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Center for Soft Matter Research [New-York] (CSMR), New York University [New York] (NYU), and NYU System (NYU)-NYU System (NYU)
- Subjects
Materials science ,Configuration entropy ,DNA, Single-Stranded ,General Physics and Astronomy ,Nanotechnology ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,Dissociation (chemistry) ,Nucleic acid thermodynamics ,chemistry.chemical_compound ,Colloid ,Sticky and blunt ends ,Colloids ,ComputingMilieux_MISCELLANEOUS ,Quantitative Biology::Biomolecules ,Nucleic Acid Hybridization ,Oxygen–haemoglobin dissociation curve ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Models, Chemical ,chemistry ,Chemical physics ,Polystyrenes ,Thermodynamics ,Self-assembly ,[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph] ,0210 nano-technology ,DNA - Abstract
We investigate the reversible association of micrometer-sized colloids coated with complementary single-stranded DNA "sticky ends" as a function of the temperature and the sticky end coverage. We find that even a qualitative description of the dissociation transition curves requires the inclusion of an entropic cost. We develop a simple general model for this cost in terms of the configurational entropy loss due to binding and confinement of the tethered DNA between neighboring particles. With this easy-to-use model, we demonstrate for different kinds of DNA constructs quantitative control over the dissociation temperature and the sharpness of the dissociation curve, both essential properties for complex self-assembly processes.
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- 2009
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13. Large CoreâShell Poly(methyl methacrylate) Colloidal Clusters: Synthesis, Characterization, and Tracking.
- Author
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Mark T. Elsesser, Andrew D. Hollingsworth, Kazem V. Edmond, and David J. Pine
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- 2011
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14. Functionalization of Polymer Microspheres Using Click Chemistry.
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Dana R. Breed, Raymond Thibault, Fang Xie, Qian Wang, Craig J. Hawker, and David J. Pine
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- 2009
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15. Surfactant-Assisted Synthesis of Uniform Titania Microspheres and Their Clusters.
- Author
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Hyung Kyun Yu, Gi-Ra Yi, Ji-Hwan Kang, Young-Sang Cho, Vinothan N. Manoharan, David J. Pine, and Seung-Man Yang
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- 2008
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16. Creating Surfactant Nanoparticles for Block Copolymer Composites through Surface Chemistry.
- Author
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Bumjoon J. Kim, Joona Bang, Craig J. Hawker, Julia J. Chiu, David J. Pine, Se Gyu Jang, Seung-Man Yang, and Edward J. Kramer
- Published
- 2007
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17. Particles with Coordinated Patches or Windows from Oil-in-Water Emulsions.
- Author
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Young-Sang Cho, Gi-Ra Yi, Shin-Hyun Kim, Seog-Jin Jeon, Mark T. Elsesser, Hyung Kyun Yu, Seung-Man Yang, and David J. Pine
- Published
- 2007
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18. Distribution of Nanoparticles in Lamellar Domains of Block Copolymers.
- Author
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Julia J. Chiu, Bumjoon J. Kim, Gi-Ra Yi, Joona Bang, Edward J. Kramer, and David J. Pine
- Published
- 2007
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19. Preparation of monodisperse PMMA microspheres in nonpolar solvents by dispersion polymerization with a macromonomeric stabilizer.
- Author
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Sascha M. Klein, Vinothan N. Manoharan, David J. Pine, and Fred F. Lange
- Subjects
POLYMERIZATION ,POLYMETHYLMETHACRYLATE ,HEXANE ,MONOMERS - Abstract
We discuss a dispersion polymerization procedure for preparing monodisperse and micron-sized poly(methyl methacrylate) (PMMA) particles in hexanes with methacryloxypropyl-terminated polydimethylsiloxane stabilizers. We investigate the effects of the stabilizer molecular weight, stabilizer concentration, and monomer concentration on the particle size and polydispersity. We find that a minimum molecular weight of 10 000 g/mol is necessary to synthesize colloidally stable PMMA dispersions. The particle polydispersity is minimal (=5%) for stabilizer to monomer weight ratios of 0.02 to 0.1, while PMMA particles prepared under conditions outside this range are polydisperse. The particle diameter can be varied from 0.4 to 1.5 µm by appropriate choices of stabilizer and monomer concentrations. Stable PMMA suspensions can be prepared at up to 26.3% solids. The dispersions are stable in most liquid aliphatics, and are monodisperse enough to form ordered domains at high concentration. This single-stage synthesis, requiring only commercially available materials, may be of interest to those seeking a simple way to prepare highly monodisperse non-aqueous dispersions in the micron size range. [ABSTRACT FROM AUTHOR]
- Published
- 2003
20. Hierarchically Structured Colloids of Diblock Copolymers and Au Nanoparticles.
- Author
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Seog-Jin Jeon, Seung-Man Yang, Bumjoon J. Kim, Joshua D. Petrie, Se Gyu Jang, Edward J. Kramer, David J. Pine, and Gi-Ra Yi
- Published
- 2009
- Full Text
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21. Comprehensive view of microscopic interactions between DNA-coated colloids
- Author
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Fan Cui, Sophie Marbach, Jeana Aojie Zheng, Miranda Holmes-Cerfon, and David J. Pine
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Multidisciplinary ,Base Sequence ,Soft Condensed Matter (cond-mat.soft) ,FOS: Physical sciences ,Nanotechnology ,General Physics and Astronomy ,Colloids ,DNA ,General Chemistry ,Condensed Matter - Soft Condensed Matter ,Crystallization ,General Biochemistry, Genetics and Molecular Biology - Abstract
The self-assembly of DNA-coated colloids into highly-ordered structures offers great promise for advanced optical materials. However, control of disorder, defects, melting, and crystal growth is hindered by the lack of a microscopic understanding of DNA-mediated colloidal interactions. Here we use total internal reflection microscopy to measure in situ the interaction potential between DNA-coated colloids with nanometer resolution and the macroscopic melting behavior. The range and strength of the interaction are measured and linked to key material design parameters, including DNA sequence, polymer length, grafting density, and complementary fraction. We present a first-principles model that screens and combines existing theories into one coherent framework and quantitatively reproduces our experimental data without fitting parameters over a wide range of DNA ligand designs. Our theory identifies a subtle competition between DNA binding and steric repulsion and accurately predicts adhesion and melting at a molecular level. Combining experimental and theoretical results, our work provides a quantitative and predictive approach for guiding material design with DNA-nanotechnology and can be further extended to a diversity of colloidal and biological systems.
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