Publications

Adams, Susan S.; Haass, Michael J.; Matzen, Laura E.; King, Saskia H.

Abstract not provided.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Adams, Susan S.; Haass, Michael J.; Matzen, Laura E.; King, Saskia H.

‘Big data’ is a phrase that has gained much traction recently. It has been defined as ‘a broad term for data sets so large or complex that traditional data processing applications are inadequate and there are challenges with analysis, searching and visualization’ [1]. Many domains struggle with providing experts accurate visualizations of massive data sets so that the experts can understand and make decisions about the data e.g., [2, 3, 4, 5]. Abductive reasoning is the process of forming a conclusion that best explains observed facts and this type of reasoning plays an important role in process and product engineering. Throughout a production lifecycle, engineers will test subsystems for critical functions and use the test results to diagnose and improve production processes. This paper describes a value-driven evaluation study [7] for expert analyst interactions with big data for a complex visual abductive reasoning task. Participants were asked to perform different tasks using a new tool, while eye tracking data of their interactions with the tool was collected. The participants were also asked to give their feedback and assessments regarding the usability of the tool. The results showed that the interactive nature of the new tool allowed the participants to gain new insights into their data sets, and all participants indicated that they would begin using the tool in its current state.

Proceedings of the 2008 International Hydrogen Conference - Effects of Hydrogen on Materials

Kammler, Daniel K.; Wampler, William R.; Van Deusen, Stuart B.; King, Saskia H.; Tissot, Ralph G.; Brewer, Luke N.; Espada Castillo, Loren I.; Goeke, Ronald S.

The mechanisms governing D loss in ErD2 films with and without a Mo diffusion barrier on kovar substrates were studied between 200 and 600 °C via in-situ Ion Beam Analysis (IBA). Significant intermixing between kovar and Er was observed above 450°C and between kovar and ErD2 above 500 °C. The D loss mechanism in ErD2 films was found to change from intermixing between kovar and ErD2 at low temperatures (< 500 °C) to thermal decomposition at higher temperatures (> 500 °C). Diffusion between kovar and ErD2 was measured isothermally at 500 and 550 °C. An activation energy of 2.1 eV and a pre-exponential factor of 0.071 cm2/s were determined. Diffusion between the kovar components and ErD2 film was inhibited by depositing a 200 nm Mo diffusion barrier between the kovar substrate and the ErD2 film. The processing of the Mo diffusion barrier was shown to impact its performance. Intermixing between the kovar / Mo / ErD2 stack becomes significant between 500 and 550 °C with a sputter deposited Mo diffusion barrier and between 550 and 600 °C for an electron-beam evaporated Mo diffusion barrier. Copyright © 2009 ASM International® All rights reserved.

Kammler, Daniel K.; Wampler, William R.; Van Deusen, Stuart B.; King, Saskia H.; Tissot, Ralph G.; Brewer, Luke N.; Espada Castillo, Loren I.; Goeke, Ronald S.

{sm_bullet}Mixing from some thermal process steps thought to drive H,D,T loss - This does not appear to be a problem with the Mo/Er occluder stacks {sm_bullet}Diffusion barriers investigated to prevent mixing

Kammler, Daniel K.; Wampler, William R.; Van Deusen, Stuart B.; King, Saskia H.; Tissot, Ralph G.; Brewer, Luke N.; Espada Castillo, Loren I.; Goeke, Ronald S.

Abstract not provided.

Polymer

King, Saskia H.

Abstract not provided.

Tewell, Craig R.; King, Saskia H.

Abstract not provided.

Lenhart, Joseph L.; King, Saskia H.

Abstract not provided.

King, Saskia H.

Abstract not provided.

King, Saskia H.; Browning, J.F.; Eatough, Michael O.; Ferrizz, Robert F.; Espada Castillo, Loren I.; Pope, Larry E.

Abstract not provided.