Combinatorial chemistry methods for coating development V: generating a combinatorial array of uniform coatings samples

Cawse, James N.; Olson, Daniel R.; Chisholm, Bret J.; Brennan, Michael J.; Sun, Tianshu; Flanagan, William P.; Akhave, Jay; Mehrabi, Ali Reza; Saunders, Dennis

doi:10.1016/s0300-9440(03)00113-9

Cited by 38 publications

(24 citation statements)

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“…These have included deposition into vials or wells of a multiwell plate, deposition using ink-jet printing, [57][58][59][60] microcontact printing, [61][62][63] deposition into wells formed by a removable template, [64][65][66] and the use of an automated draw-down system. [67][68][69][70] A challenge with all of these methods is to generate a film that is uniform in thickness and composition over the spatial area needed for property determination.…”

Section: Preparation Of Discrete Polymer Materials Librariesmentioning

confidence: 99%

“…In some cases polymers have been formed in place by depositing the reaction precursors and conducting polymerization or crosslinking reactions in situ. [64] …”

Section: Preparation Of Discrete Polymer Materials Librariesmentioning

confidence: 99%

“…[66,134,137,138] Coating libraries were prepared on plastic substrates by depositing the UV-curable formulation into wells created in a removable silicone template. [64] Several screening methods were developed to test the coatings for their key performance properties, which included adhesion to the substrate, [139] abrasion resistance, [140,141] and weathering. [142] Researchers at North Dakota State University have developed a comprehensive system for high-throughput coatings development with an initial focus on coatings for underwater marine applications.…”

Section: Applications Of Combinatorial and High-throughput Experimentmentioning

confidence: 99%

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Combinatorial and High‐Throughput Methods in Macromolecular Materials Research and Development

Webster

2008

Macro Chemistry & Physics

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Combinatorial and high‐throughput experimentation is used to accelerate the rate of experimentation in macromolecular science. Combinatorial and high‐throughput methods are used in macromolecular science to discover and optimize catalysts for polymerization reactions, discover compositions that have specific desired properties, and systematically explore polymer structure–property relationships. The use of high‐throughput methods can enable the discovery of complex catalyst systems or polymer compositions that would not be feasible using conventional experimental methods. In addition, combinatorial data can be used as inputs into computer models to enable the accurate prediction of material properties as a function of composition.magnified image

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Section: Preparation Of Discrete Polymer Materials Librariesmentioning

confidence: 99%

“…In some cases polymers have been formed in place by depositing the reaction precursors and conducting polymerization or crosslinking reactions in situ. [64] …”

Section: Preparation Of Discrete Polymer Materials Librariesmentioning

confidence: 99%

Section: Applications Of Combinatorial and High-throughput Experimentmentioning

confidence: 99%

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Combinatorial and High‐Throughput Methods in Macromolecular Materials Research and Development

Webster

2008

Macro Chemistry & Physics

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“…A custom built apparatus was used to spread the liquid coatings evenly within the reservoir and evaporate solvents. 35 Coatings were cured in situ using heat or ultraviolet radiation to produce arrays of coatings as shown in Fig. 5.…”

Section: Data Miningmentioning

confidence: 99%

“…Since 2000, a few investigators have developed full combinatorial workflows for various coating applications[34][35][36][37][38][39][40][41][42][43][44] while others have focused on increasing the throughput of individual components of a workflow.…”

mentioning

confidence: 99%

The development of coatings using combinatorial/high throughput methods: a review of the current status

Chisholm

2007

J Coat Technol Res

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Combinatorial Materials Science: Measures of Success

Fasolka

Amis

2006

Combinatorial Materials Science

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Throughout its history, materials science has been accomplished with the explicit or implicit backdrop that materials can be improved for human use. To a considerable extent, this milieu has governed the systems considered by the discipline, and the kinds of knowledge materials scientists generate. This technological undercurrent accounts for a thread common to materials science since its earliest days, which is study of complex systems. For example, our understanding of multicomponent phase thermodynamics, would arguably not be as advanced, nor as deep, as it is today without the desire to produce improved metallurgical alloys. Certainly, this technological interplay with complexity could be restated for any number of historical cases and accomplishments across the materials science spectrum -from doped semiconductors to polymer blends. This trend continues for today's materials scientists, as we strive to understand, and to use, increasingly complex materials systems. In this respect, the discovery, development, and optimization of today's new materials are met by three interrelated challenges (Figure 1). First, advanced materials are often highly tailored, meaning that composition, structure and properties are optimized to meet a specific application. For example, materials for fuel cell membranes[1] must transport specific ions, and they must also be structurally sound, chemically resistant, and amenable to processing. Given

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Combinatorial chemistry methods for coating development V: generating a combinatorial array of uniform coatings samples

Cited by 38 publications

References 4 publications

Combinatorial and High‐Throughput Methods in Macromolecular Materials Research and Development

Combinatorial and High‐Throughput Methods in Macromolecular Materials Research and Development

The development of coatings using combinatorial/high throughput methods: a review of the current status

Combinatorial Materials Science: Measures of Success

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