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Dive into the research topics where James J. Semler is active.

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Featured researches published by James J. Semler.


Journal of Chemical Physics | 2003

Monte Carlo simulations of copolymer adsorption at planar chemically patterned surfaces: Effect of surface domain sizes

James J. Semler; Jan Genzer

We present results of Monte Carlo simulation studies utilizing the bond fluctuation model in conjunction with single and configurational biased Monte Carlo moves to investigate the adsorption of diblock (A–b–B) and alternating (A–alt–B) copolymers at physically flat surfaces made of an equal number of two chemically different sites, C and D. The adsorption of the copolymer to the surface is driven by the repulsion between the A and B segments along the copolymer and the attraction between the B segments and the D sites on the surface. We address the critical role of the commensurability between the copolymer’s monomer sequence distribution and the size and spatial distribution of the surface adsorbing sites on the copolymer adsorption. We show that both copolymer architectures have the ability to recognize the surface motif and transcribe it into the bulk material. Diblock copolymers can transfer the pattern once the heterogeneous domain sizes match the size of the parallel component to the radius of gyra...


Macromolecular Rapid Communications | 2009

Discriminating Among Co-monomer Sequence Distributions in Random Copolymers Using Interaction Chromatography

Junwon Han; Byung Ho Jeon; Chang Y. Ryu; James J. Semler; Young K. Jhon; Jan Genzer

Interaction chromatography has been employed to validate that adsorption of poly[styrene-co-(4-bromostyrene)] (PBr(x) S) random copolymers, where x denotes the mole fraction of 4-bromostyrene (4-BrS) in PBr(x) S in solution depends on the average number of adsorptive segments, the type of adsorbing substrate, and on the co-monomer sequence distribution in PBr(x) S.


MRS Proceedings | 2001

Monte Carlo Simulations of Copolymer Adsorption from Copolymer / Homopolymer Melts at Planar Chemically Patterned Surfaces

James J. Semler; Jan Genzer

We investigate the adsorption of copolymers from copolymer / homopolymer mixtures at planar chemically patterned surfaces. The Monte Carlo bond fluctuation model is used in conjunction with configurational biased Monte Carlo moves to study the effect of: i) the copolymer microstructure, ii) the size and spatial distribution of chemical heterogeneities on the substrate, and iii) the polymer/substrate interactions on the ability of the copolymer to recognize the substrate chemical pattern. Our results confirm that the surface pattern recognition occurs whenever the characteristic size of the copolymer distribution sequence matches that of the surface heterogeneity domain. Moreover, the copolymer sequence distribution plays a crucial role in determining the extent of the surface pattern transfer into the bulk material. Our results reveal that more pronounced surface pattern transfer into the bulk occurs for small attractions of the adsorbing species to particular surface domains relative to the large attractions. INTRODUCTION Organization of polymers near solid surfaces embodies a vast area of both practical and fundamental interest. These systems are relevant to many large-scale technological applications including fiber-filled polymer composites, antireflection coatings, and adhesives. In addition, much research has been done on small-scale applications including chemical sensors and nanoscale patterning and masking [1-3]. In order to exploit these applications in their entirety, it is necessary to understand the key features and trends associated with polymer adsorption at solid surfaces. Over the past few decades numerous theoretical and experimental reports have appeared that aimed at describing the adsorption of homopolymers and copolymers at chemically homogeneous surfaces [4]. These studies have provided a fundamental understanding of the basic physics and chemistry governing polymer adsorption. However, in many situations the substrates are not completely chemically homogeneous. The substrates may be composed of more than one chemical species or possibly contain impurities, which will directly influence the adsorption properties of polymers. Such “chemically rough” substrates are often encountered in biological situations, examples of which include pathogen-host interactions and biopolymer adhesion for transmembrane signaling and shape transformation of membranes [5-7]. The idea of a chemically rough surface adds a new dimension to the current issues related to polymer adsorption. In such cases one might expect that the polymer adsorption characteristics will not only depend upon the chain length and monomer sequence distribution along the macromolecule, but also on the sizes, shapes, and spatial distributions of the heterogeneous domains on the surface and the strength of the interactions between chain monomers and the various substrate sites. In particular, a distinct relationship between sequence distribution and the spatial distribution of surface heterogeneities must exist that optimizes the adsorption to give rise to substrate pattern recognition. Mat. Res. Soc. Symp. Proc. Vol. 710


Advanced Materials | 2007

Facile Method of Controlling Monomer Sequence Distributions in Random Copolymers

James J. Semler; Young K. Jhon; Alan E. Tonelli; Martin S. Beevers; Ramanan Krishnamoorti; Jan Genzer


Macromolecules | 2009

Effect of Comonomer Sequence Distribution on the Adsorption of Random Copolymers onto Impenetrable Flat Surfaces

Young K. Jhon; James J. Semler; Jan Genzer; Martin S. Beevers; Olga Guskova; Pavel G. Khalatur; Alexei R. Khokhlov


Macromolecular Theory and Simulations | 2004

Monte Carlo Simulations of Copolymer Adsorption at Planar Chemically Patterned Surfaces: Effect of Interfacial Interaction

James J. Semler; Jan Genzer


Macromolecules | 2008

Effect of Solvent Quality and Chain Confinement on the Kinetics of Polystyrene Bromination

Young K. Jhon; James J. Semler; Jan Genzer


Journal of Chemical Physics | 2006

Design of random copolymers with statistically controlled monomer sequence distributions via Monte Carlo simulations

James J. Semler; Jan Genzer


Macromolecular Rapid Communications | 2009

Macromol. Rapid Commun. 18/2009

Junwon Han; Byung Ho Jeon; Chang Y. Ryu; James J. Semler; Young K. Jhon; Jan Genzer


Bulletin of the American Physical Society | 2008

Interaction Chromatography of Random Copolymers with Tunable Monomer Sequence Distributions

Chang Y. Ryu; Junwon Han; Byung Ho Jeon; James J. Semler; Young K. Jhon; Jan Genzer

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Jan Genzer

North Carolina State University

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Young K. Jhon

North Carolina State University

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Chang Y. Ryu

Rensselaer Polytechnic Institute

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Junwon Han

Rensselaer Polytechnic Institute

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Byung Ho Jeon

Rensselaer Polytechnic Institute

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Alan E. Tonelli

North Carolina State University

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