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Dive into the research topics where Karim Gadelrab is active.

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Featured researches published by Karim Gadelrab.


Journal of the American Chemical Society | 2016

Graft-through Synthesis and Assembly of Janus Bottlebrush Polymers from A-Branch-B Diblock Macromonomers

Ken Kawamoto; Mingjiang Zhong; Karim Gadelrab; Li-Chen Cheng; Caroline A. Ross; Alfredo Alexander-Katz; Jeremiah A. Johnson

We report the synthesis of Janus bottlebrush block copolymers by graft-through polymerization of branched diblock macromonomers. Self-assembly of the bottlebrushes was characterized by small-angle X-ray scattering, atomic force microscopy, and scanning electron microscopy. Phase separation and packing models of the bottlebrushes were computed, and their self-assembly behavior was corroborated experimentally in bulk and in thin films. Lamellar, hexagonal cylinder, and gyroid phases were observed and modeled. The A-branch-B Janus bottlebrush structure provides several unique advantages in the context of bottlebrush polymer assembly, including access to the first examples of gyroid phases.


Nano Letters | 2015

Perpendicular Block Copolymer Microdomains in High Aspect Ratio Templates

Wubin Bai; Karim Gadelrab; Alfredo Alexander-Katz; Caroline A. Ross

Perpendicular orientation of lamellar microdomains in a high interaction parameter block copolymer was obtained within high aspect ratio gratings functionalized with a preferential sidewall brush. The experiments used polystyrene-block-polydimethylsiloxane (PS-b-PDMS) with molecular weight 43 kg/mol within trenches made using interference lithography. The perpendicular alignment was obtained for both thermal and solvent annealing, using three different solvent vapors, for a range of film thicknesses and trench widths. A platinum (Pt) layer at the base of the trenches avoided the formation of a wetting layer, giving perpendicular orientation at the substrate surface. The results are interpreted using self-consistent field theory simulation and a Ginzburg-Landau analytic model to map the energies of lamellae of different orientations as a function of the grating aspect ratio and the surface energies of the sidewalls and top and bottom surfaces. The model results agree with the experiment and provide a set of guidelines for obtaining perpendicular microdomains within topographic features.


Nanoscale | 2016

The Mendeleev–Meyer force project

Sergio Santos; Chia-Yun Lai; Carlo A. Amadei; Karim Gadelrab; Tzu-Chieh Tang; Albert Verdaguer; Victor Barcons; Josep Font; J. Colchero; Matteo Chiesa

Here we present the Mendeleev-Meyer Force Project which aims at tabulating all materials and substances in a fashion similar to the periodic table. The goal is to group and tabulate substances using nanoscale force footprints rather than atomic number or electronic configuration as in the periodic table. The process is divided into: (1) acquiring nanoscale force data from materials, (2) parameterizing the raw data into standardized input features to generate a library, (3) feeding the standardized library into an algorithm to generate, enhance or exploit a model to identify a material or property. We propose producing databases mimicking the Materials Genome Initiative, the Medical Literature Analysis and Retrieval System Online (MEDLARS) or the PRoteomics IDEntifications database (PRIDE) and making these searchable online via search engines mimicking Pubmed or the PRIDE web interface. A prototype exploiting deep learning algorithms, i.e. multilayer neural networks, is presented.


Nano Convergence | 2018

Directed self-assembly of a two-state block copolymer system

Hyung Wan Do; Hong Kyoon Choi; Karim Gadelrab; Jae-Byum Chang; Alfredo Alexander-Katz; C. A. Ross; Karl K. Berggren

In this work, ladder-shaped block copolymer structures consisting of parallel bars, bends, and T-junctions are formed inside square confinement. We define binary states by the two degenerate alignment orientations, and study properties of the two-state system. We control the binary states by creating openings around the confinement, changing the confinement geometry, or placing lithographic guiding patterns inside the confinement. Self-consistent field theory simulations show templating effect from the wall openings and reproduce the experimental results. We demonstrate scaling of a single binary state into a larger binary state array with individual binary state control.


ACS Nano | 2018

Double-Layer Morphologies from a Silicon-Containing ABA Triblock Copolymer

Sangho Lee; Li-Chen Cheng; Karim Gadelrab; Konstantinos Ntetsikas; Dimitrios Moschovas; Kevin G. Yager; Apostolos Avgeropoulos; Alfredo Alexander-Katz; C. A. Ross

A combined experimental and self-consistent-field theoretical (SCFT) investigation of the phase behavior of poly(stryrene- b-dimethylsiloxane- b-styrene) (PS- b-PDMS- b-PS, or SDS32) thin films during solvent vapor annealing is presented. The morphology of the triblock copolymer is described as a function of the as-cast film thickness and the ratio of two different solvent vapors, toluene and heptane. SDS32 formed terraced bilayer morphologies even when the film thickness was much lower than the commensurate thickness. The morphology transitioned between bilayer cylinders, bilayer perforated lamellae, and bilayer lamellae, including mixed structures such as a perforated lamella on top of a layer of in-plane cylinders, as the heptane fraction during solvent annealing increased. SCFT modeling showed the same morphological trends as a function of the block volume fraction. In comparison with diblock PS- b-PDMS with the same molecular weight, the SDS32 offers a simple route to produce a diversity of well-ordered bilayer structures with smaller feature sizes, including the formation of bilayer perforated lamellae over a large process window.


Molecular Systems Design & Engineering | 2017

Inverting the design path for self-assembled block copolymers

Karim Gadelrab; Adam F. Hannon; C. A. Ross; Alfredo Alexander-Katz

Recent success of inverse design methodologies in the realm of self-assembled materials has allowed us to envision an inverse path of discovery where we go from a desired target function to building blocks. In this review we examine recent advances of such inverse design methods in soft materials containing block copolymers, colloids, or DNA. By combining well-developed theoretical models with advanced inverse search algorithms, the design of such systems has been dramatically enhanced over the past decade. Advantages and disadvantages of the most prominent inverse search algorithms are discussed in the context of block copolymer directed self-assembly inverse design. The success of these methodologies in such systems shows great promise for the future of self-assembling materials, particularly for applications where the desired structure and properties of the system needed for a functional device are known.


Nano Letters | 2018

Limits of Directed Self-Assembly in Block Copolymers

Karim Gadelrab; Yi Ding; Ricardo Pablo-Pedro; Hsieh Chen; Kevin W. Gotrik; David Gabriel Tempel; C. A. Ross; Alfredo Alexander-Katz


Nano Letters | 2018

Templated Self-Assembly of a PS-Branch-PDMS Bottlebrush Copolymer

Li-Chen Cheng; Karim Gadelrab; Ken Kawamoto; Kevin G. Yager; Jeremiah A. Johnson; Alfredo Alexander-Katz; C. A. Ross


Nano Futures | 2018

Rapid shear alignment of sub-10 nm cylinder-forming block copolymer films based on thermal expansion mismatch

Samuel M. Nicaise; Karim Gadelrab; Amir Tavakkoli K. G.; C. A. Ross; Alfredo Alexander-Katz; Karl K. Berggren


Bulletin of the American Physical Society | 2018

Templated Self-assembly of PS- branch -PDMS Janus Bottle Brush Copolymer

Li-Chen Cheng; Ken Kawamoto; Karim Gadelrab; Kevin G. Yager; Alfredo Alexander-Katz; Jeremiah A. Johnson; C. A. Ross

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Alfredo Alexander-Katz

Massachusetts Institute of Technology

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C. A. Ross

Massachusetts Institute of Technology

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Li-Chen Cheng

Massachusetts Institute of Technology

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Jeremiah A. Johnson

Massachusetts Institute of Technology

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Ken Kawamoto

Massachusetts Institute of Technology

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Caroline A. Ross

Massachusetts Institute of Technology

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Karl K. Berggren

Massachusetts Institute of Technology

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Wubin Bai

Massachusetts Institute of Technology

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Adam F. Hannon

Massachusetts Institute of Technology

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Amir Tavakkoli K. G.

Massachusetts Institute of Technology

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