Jay R. Akhave
General Electric
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Publication
Featured researches published by Jay R. Akhave.
Progress in Organic Coatings | 2002
Bret J. Chisholm; Radislav A. Potyrailo; James Norman Cawse; Ronald Eugene Shaffer; Michael J. Brennan; Chris Molaison; Donald Wayne Whisenhunt; Bill Flanagan; Dan Olson; Jay R. Akhave; Dennis Saunders; Ali R. Mehrabi; Mark A. Licon
Abstract Combinatorial chemistry has proven to be a valuable tool for the development of new compounds. The combinatorial methodology is well suited to the development of complex, multicomponent materials that, typically, require extensive experimentation for their development. As a result, coating development appeared to be a good candidate for the application of the combinatorial methodology. A “combinatorial factory” capable of preparing and testing over 100 coatings per day has been developed. The components of the factory consist of: (1) an automated system to prepare liquid coating formulations; (2) a novel coating application process capable of making high density arrays of coatings of controlled thickness; (3) curing of the coating arrays either thermally or with UV light; (4) testing of the coatings using newly developed high throughput screening methods; and (5) a data handling process to quickly identify the most promising coatings produced. Various aspects of the application of the combinatorial methodology to coating development are described.
Archive | 2003
Jaime C. Grunlan; Dennis Saunders; Jay R. Akhave; Mark A. Licon; Marcel Murga; Aaron Chavira; Ali R. Mehrabi
The combinatorial study of materials has already proven its value in the areas of biotechnology [1] and the discovery of medicinal compounds [2, 3]. More recently, this methodology has moved into applications such as discovery of organometallic catalysts with special activity [4], optimization of polymer processing [5], and composite design [6]. The primary advantage of the combinatorial technique is the speed at which different materials can be synthesized, formulated, and tested for particular application [sometimes referred to as high-throughput screening (HTS)]. In addition to speed, the amount of material needed for a combinatorial study is far less than that required for conventional methods, which makes combinatorial material discovery more affordable when the materials are expensive. The need for speed in the combinatorial science magnifies the necessity for automation of different steps in the material discovery process. Consequently, a tremendous effort is focused on automating the formulation, synthesis, and screening steps in discovering new materials. Many of these methods are applicable to the screening of any type of functional material, while others are targeted for specific functionality in a particular area of application.
MRS Proceedings | 2003
Jaime C. Grunlan; Aaron Chavira; Timothy J. Wolfe; Jay R. Akhave; Charles Hamilton; Ali R. Mehrabi
High throughput screening methods for evaluating oxygen and moisture barriers are described. The screening methods are based on the change in a certain optical property, such as absorbance or fluorescence, due to a chemical reaction with oxygen gas or water vapor. The results of these measurements for several cases are presented and their advantages and disadvantages are discussed.
Archive | 2001
Radislav A. Potyrailo; Daniel Robert Olson; Michael Jarvath Brennan; Jay R. Akhave; Mark A. Licon; Ali R. Mehrabi; Dennis Saunders; Bret J. Chisholm
Archive | 2003
Carol A. Koch; Jay R. Akhave; Rishikesh K. Bharadwaj
Progress in Organic Coatings | 2003
James Norman Cawse; Daniel Robert Olson; Bret Ja Chisholm; Michael J. Brennan; Ted X. Sun; William Flanagan; Jay R. Akhave; Ali R. Mehrabi; Dennis Saunders
Archive | 2004
Jay R. Akhave; Jan E. Carr; Jaime C. Grunlan; Albert Lin
Archive | 2001
Radislav Alexandrovich Potyralio; Daniel Robert Olson; Michael J. Brennan; Jay R. Akhave; Mark A. Licon; Ali R. Mehrabi; Dennis Saunders; Bret Ja Chisholm
Archive | 2004
Xiao-Ming He; Ramin Heydarpour; Ali R. Mehrabi; Jay R. Akhave
Archive | 2008
Haochuan Wang; Ali R. Mehrabi; Kouroche Kian; Dave N. Edwards; Akiko Tanabe; Mark A. Licon; Jay R. Akhave