Dr. Howard Katz, Department Chair and Professor of Materials Science and Engineering at Johns Hopkins University, has presented the findings on organic electronics from The Materials Genome Initiative Grand Challenges Summit on Soft Materials. The webinar is available for viewing and downloading at NIST’s MGI website.
Twenty scientists participated in the organic electronics breakout session, which sought to communicate the grand challenges and opportunities in the research and development of new organic electronics. Dr. Katz served as chair and organizer of the session. The participants represented academic, industrial, and federal laboratories.
A major session goal was to promote development of more effective computational tools, which are not yet capable of providing needed insight into solid state properties, interface physics, and deposition processes of organic electronic materials. Several cultural barriers to this development were also discussed, including competition among organizations inhibiting collaboration, a lack of consensus on workhorse materials, and publications driven by the need to report high but isolated figures of merit.
“The materials are being contributed by hundreds of organizations. Each material plays some small role in a big system and many of these materials are needed. There’s a lot of competition by everyone to get their material into even a small piece of the technology, so there’s not a lot of cooperation being fostered,” Dr. Katz said during the webinar.
Successful development of computational tools could ultimately lead to advances in a number of areas, including wearable electronic skins, 2D & 3D circuitry, biocompatible electronic systems, and energy systems such as solar power and batteries.
The Materials Genome Initiative (MGI) was launched by the White House in June 2011, with the goal of increasing US global competiveness by doubling the pace at which new materials are discovered, developed, and transitioned into manufactured products, particularly through the use of computational tools, experimental tools, digital data, and collaborative networks.