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AIP Conference Proceedings
Newcomer, Justin T. ; Fitchett, Stephanie
The use of the Transfer Function approach to Model-Assisted Probability of Detection (MAPOD) is explored by inspecting airplane lap joint specimen sets with multiple site fatigue damage. Four specimen sets representing a matrix with structure type and defect types as the two axes were inspected using ultrasonic linear array. Probability of Detection (POD) curves were generated in each quadrant for 4 inspectors. POD curves in the fourth quadrant, which represents actual in-service crack detection in real airplane structures were predicted from other quadrant curves. Predicted POD curves were compared to observed curves. © 2012 American Institute of Physics.
Physical Chemistry Chemical Physics
Savee, John D. ; Welz, Oliver W. ; Taatjes, Craig A. ; Osborn, David L.
The reaction of O(3P) with propene (C3H6) has been examined using tunable vacuum ultraviolet radiation and time-resolved multiplexed photoionization mass spectrometry at 4 Torr and 298 K. The temporal and isomeric resolution of these experiments allow the separation of primary from secondary reaction products and determination of branching ratios of 1.00, 0.91 ± 0.30, and 0.05 ± 0.04 for the primary product channels CH3 + CH2CHO, C2H5 + HCO, and H2 + CH3CHCO, respectively. The H + CH3CHCHO product channel was not observable for technical reasons in these experiments, so literature values for the branching fraction of this channel were used to convert the measured product branching ratios to branching fractions. The results of the present study, in combination with past experimental and theoretical studies of O(3P) + C3H6, identify important pathways leading to products on the C3H6O potential energy surface (PES). The present results suggest that up to 40% of the total product yield may require intersystem crossing from the initial triplet C3H6O PES to the lower-lying singlet PES. © the Owner Societies.
Journal of Physical Chemistry A
Harding, Lawrence B.; Klippenstein, Stephen J.; Jasper, Ahren W.
Recent studies have questioned the separability of the tight and roaming mechanisms to molecular decomposition. We explore this issue for a variety of reactions including MgH2 → Mg + H2, NCN → CNN, H2CO → H2 + CO, CH3CHO → CH 4 + CO, and HNNOH → N2 + H2O. Our analysis focuses on the role of second-order saddle points in defining global dividing surfaces that encompass both tight and roaming first-order saddle points. The second-order saddle points define an energetic criterion for separability of the two mechanisms. Furthermore, plots of the differential contribution to the reactive flux along paths connecting the first- and second-order saddle points provide a dynamic criterion for separability. The minimum in the differential reactive flux in the neighborhood of the second-order saddle point plays the role of a mechanism divider, with the presence of a strong minimum indicating that the roaming and tight mechanisms are dynamically distinct. We show that the mechanism divider is often, but not always, associated with a second-order saddle point. For the formaldehyde and acetaldehyde reactions, we find that the minimum energy geometry on a conical intersection is associated with the mechanism divider for the tight and roaming processes. For HNNOH, we again find that the roaming and tight processes are dynamically separable but we find no intrinsic feature of the potential energy surface associated with the mechanism divider. Overall, our calculations suggest that roaming and tight mechanisms are generally separable over broad ranges of energy covering most kinetically relevant regimes. © 2012 American Chemical Society.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Gibler, Clint; Crussell, Jonathan; Erickson, Jeremy L. ; Chen, Hao
As mobile devices become more widespread and powerful, they store more sensitive data, which includes not only users' personal information but also the data collected via sensors throughout the day. When mobile applications have access to this growing amount of sensitive information, they may leak it carelessly or maliciously. Google's Android operating system provides a permissions-based security model that restricts an application's access to the user's private data. Each application statically declares the sensitive data and functionality that it requires in a manifest, which is presented to the user upon installation. However, it is not clear to the user how sensitive data is used once the application is installed. To combat this problem, we present AndroidLeaks, a static analysis framework for automatically finding potential leaks of sensitive information in Android applications on a massive scale. AndroidLeaks drastically reduces the number of applications and the number of traces that a security auditor has to verify manually. We evaluate the efficacy of AndroidLeaks on 24,350 Android applications from several Android markets. AndroidLeaks found 57,299 potential privacy leaks in 7,414 Android applications, out of which we have manually verified that 2,342 applications leak private data including phone information, GPS location, WiFi data, and audio recorded with the microphone. AndroidLeaks examined these applications in 30 hours, which indicates that it is capable of scaling to the increasingly large set of available applications. © 2012 Springer-Verlag.
IEEE Transactions on Antennas and Propagation
Baczewski, Andrew D. ; Dault, Daniel L.; Shanker, Balasubramaniam
We present an algorithm for the fast and efficient solution of integral equations that arise in the analysis of scattering from periodic arrays of PEC objects, such as multiband frequency selective surfaces (FSS) or metamaterial structures. Our approach relies upon the method of Accelerated Cartesian Expansions (ACE) to rapidly evaluate the requisite potential integrals. ACE is analogous to FMM in that it can be used to accelerate the matrix vector product used in the solution of systems discretized using MoM. Here, ACE provides linear scaling in both CPU time and memory. Details regarding the implementation of this method within the context of periodic systems are provided, as well as results that establish error convergence and scalability. In addition, we also demonstrate the applicability of this algorithm by studying several exemplary electrically dense systems.
Carbon
Spoerke, Eric ; Polsky, Ronen ; Burckel, David B. ; Bunker, B.C.
In recent years pyrolysis of interferometrically-patterned photoresists has produced three-dimensionally nanopatterned, electrically conductive carbon films with applications from energy storage to biological sensing. We investigate here conditions for rapid thermal pyrolysis that drastically reduce film processing time (from hours to minutes) while preserving the films' unique nanoscale morphology, film adhesion, and electrochemical properties. We specifically show that heating rate dramatically affects nanoscale morphology, while reducing atmosphere composition, dwell time, and dwell temperature impact the electrochemical performance of these rapidly pyrolyzed nanostructures. Accelerated processing with rapid thermal pyrolysis may facilitate the expanded applicability and rapid fabrication of these promising nanostructured materials. © 2012 Elsevier Ltd. All rights reserved.
Energy Policy
Barter, Garrett E. ; Reichmuth, David ; Westbrook, Jessica ; Malczynski, Leonard A. ; West, Todd H. ; Manley, Dawn K. ; Guzman, Katherine D. ; Edwards, Donna M.
A parametric analysis is used to examine the supply demand interactions between the US light-duty vehicle (LDV) fleet, its fuels, and the corresponding primary energy sources through 2050. The analysis emphasizes competition between conventional internal combustion engine (ICE) vehicles, including hybrids, and electric vehicles (EVs), represented by both plug-in hybrid and battery electric vehicles. We find that EV market penetration could double relative to our baseline case with policies to extend consumers' effective payback period to 7 years. EVs can also reduce per vehicle petroleum consumption by up to 5% with opportunities to increase that fraction at higher adoption rates. However, EVs have limited ability to reduce LDV greenhouse gas (GHG) emissions with the current energy source mix. Alone, EVs cannot drive compliance with the most aggressive GHG emission reduction targets, even if the electricity grid shifts towards natural gas powered sources. Since ICEs will dominate the LDV fleet for up to 40 years, conventional vehicle efficiency improvements have the greatest potential for reductions in LDV GHG emissions and petroleum consumption over this time. Specifically, achieving fleet average efficiencies of 72. mpg or greater can reduce average GHG emissions by 70% and average petroleum consumption by 81%. © 2012 Elsevier Ltd.
Optics Letters
Shields, Eric A.
Phase diversity algorithms allow a wavefront to be reconstructed from through-focus measurements of a point source or extended scene. These algorithms have traditionally been limited to systems that are Nyquist sampled. Many optical systems for remote sensing applications are designed to be undersampled, however. One approach to phase diversity with undersampled systems is to employ superresolution techniques to first create properly sampled scenes. This is demonstrated experimentally for a point object, but is applicable to extended scenes as well. © 2012 Optical Society of America.
Journal of Scientific Computing
Aksoylu, Burak; Bond, Stephen D. ; Cyr, Eric C. ; Holst, Michael
In this article, we develop goal-oriented error indicators to drive adaptive refinement algorithms for the Poisson-Boltzmann equation. Empirical results for the solvation free energy linear functional demonstrate that goal-oriented indicators are not sufficient on their own to lead to a superior refinement algorithm. To remedy this, we propose a problem-specific marking strategy using the solvation free energy computed from the solution of the linear regularized Poisson-Boltzmann equation. The convergence of the solvation free energy using this marking strategy, combined with goal-oriented refinement, compares favorably to adaptive methods using an energy-based error indicator. Due to the use of adaptive mesh refinement, it is critical to use multilevel preconditioning in order to maintain optimal computational complexity. We use variants of the classical multigrid method, which can be viewed as generalizations of the hierarchical basis multigrid and Bramble-Pasciak-Xu (BPX) preconditioners. © 2011 Springer Science+Business Media (outside the USA).
Demmie, Paul N.
Stephens, Daniel T.
Hopkins, Matthew M. ; Boerner, Jeremiah J. ; Barnat, Edward ; Crozier, Paul ; Bettencourt, Matthew T. ; Musson, Lawrence ; Hooper, Russell ; Moore, Christopher H.
Hearne, Sean J.
Gallis, Michael A.
Falcon, Ross E. ; Rochau, Gregory A.
Beyeler, Walter E. ; Kuypers, Marshall ; Antognoli, Matthew ; Glass Jr., Robert J.
Lane, Pamela ; Lane, Todd ; Koh, Chung Y. ; Sommer, Gregory J.
Duggan, Ruth A. ; Scharmer, Carol
Duggan, Ruth A.
Jones, Reese E.
Gallis, Michael A.
Cartwright, Keith L. ; Radtke, Gregg A. ; Hopkins, Polly L. ; Hopkins, Matthew M.
Lopresti, Vincent C.
Lopresti, Vincent C.
Forden, Geoffrey
Forden, Geoffrey
Dempsey, J.F. ; Crane, Nathan K. ; Subia, Samuel R.; Thomas, Jesse D.
Podsednik, Jason W. ; Navarro, Rudolfo J. ; Parks, Shawn M.
Single-mode fibers were cleverly embedded into fixtures holding nitromethane, and used in conjunction with a photonic Doppler velocimeter (PDV) to measure the associated detonation velocity. These measurements have aided us in our understanding of energetic materials and enhanced our diagnostic capabilities.
Barraza, Erika
Proposed for publication in The ECS Interface.
Orendorff, Christopher
Proposed for publication in The ECS Interface.
Harvey-Thompson, Adam J.
Siirola, John D. ; Watson, Jean-Paul
Proposed for publication in Physics of Plasmas.
Ampleford, David ; Jennings, Christopher A. ; Cuneo, Michael E. ; Sinars, Daniel
Reinke, Carl W.
Roach, Dennis P. ; Neidigk, Stephen ; Rice, Thomas M. ; Duvall, Randy L.
Lin, Paul T.
Reiser, Anita S.
Rider, William J.
Ihlefeld, Jon F. ; Kotula, Paul G. ; Gough, Dara ; Lu, Ping ; Spoerke, Eric ; Mckenzie, Bonnie ; Rye, Michael J. ; Brennecka, Geoff
Piekos, Edward S. ; Phinney, Leslie
Clay, Robert L.
Kolda, Tamara G. ; Pinar, Ali P.
Hills, Richard G. ; Pointon, Timothy
Rao, Rekha R. ; Noble, David R. ; Brotherton, Christopher M. ; Roberts, Scott A. ; Roberts, Christine ; Nemer, Martin
Avery, Rosemary
Cortial, Julien
Kogler, Laura K.
Sinars, Daniel
Najm, Habib N. ; Sargsyan, Khachik ; Safta, Cosmin ; Debusschere, Bert J. ; Jakeman, John D. ; Eldred, Michael S.
Kolda, Tamara G.
Timlin, Jerilyn A.
Coriton, Bruno R.L. ; Frank, Jonathan H.
Leung, Kevin
Proposed for publication in Optics Express.
Moore, Sean W. ; Soh, Daniel B.S. ; Bisson, Scott E. ; Patterson, Brian
Proposed for publication in Chemical Physics Letters.
Leung, Kevin
Laird, Daniel L.
Montano, Ines ; Wanke, Michael C.
Hubbard, Josh
Zameroski, Nathan D. ; Wanke, Michael C. ; Bossert, David
Denman, Matthew R. ; Ames, Arlo
Chan, Calvin ; Beechem, Thomas E. ; Ohta, Taisuke ; Wheeler, David R.
Grainger, Lora A.
Barone, Matthew F. ; Paquette, Joshua
Johnson, Erick
Atherton, Peter R. ; Moore, Jacqueline K.
Bull, Diana L.
Atherton, Peter R. ; Moore, Jacqueline K.
Helinski, Ryan
Biringer, Kent L.
Naugle, Asmeret ; Lowry, Thomas S. ; Barco Mugg, Janet
Hansen, Clifford
Proposed for publication in Journal of Solar Energy Engineering.
Ho, Clifford K. ; Hall, Aaron ; Lambert, T.N. ; Bencomo, Marlene
Wampler, William R. ; Watkins, Jonathan G. ; Buchenauer, D.A.
Greathouse, Jeffery A. ; Cygan, Randall T. ; Jove-Colon, Carlos
Zeitler, Todd ; Greathouse, Jeffery A. ; Cygan, Randall T.
Nordquist, Christopher D. ; Leonhardt, Darin ; Jordan, Tyler S. ; Rodenbeck, Christopher T.
Hopkins, Matthew M. ; Crozier, Paul ; Hooper, Russell ; Boerner, Jeremiah J. ; Musson, Lawrence ; Bettencourt, Matthew T.
Huber, Dale L.
Nguyen, Khoi T. ; Stevens, Jeffrey ; Grubbs, Robert K. ; Pluym, Tammy ; Dominguez, Jason J. ; Muller, Richard P. ; Carroll, M.S. ; Jacobson, N.T. ; Witzel, Wayne M. ; Bishop, Nathaniel B. ; Tracy, Lisa A. ; Carr, Stephen M. ; Lu, T.M. ; Wendt, Joel R.
Ao, T. ; Harding, Eric ; Bailey, James E. ; Sinars, Daniel ; Hansen, Stephanie B. ; Desjarlais, Michael P. ; Lemke, Raymond W. ; Geissel, Matthias ; Smith, Ian C.
Orell, Malia
Journal of Artificial General Intelligence
Rohrer, Brandon R.
Lin, Paul T. ; Heroux, Michael A. ; Williams, Alan B. ; Barrett, Richard F.
Vizkelethy, Gyorgy
Brennan, J. ; Brubaker, Erik M. ; Gerling, Mark ; Mcmillan, Kyle ; Mrowka, Stanley ; Steele, J.
Pinar, Ali P. ; Kolda, Tamara G. ; Comandur, Seshadhri
Kolda, Tamara G.
Deccio, Casey T.
Carroll, M.S.
Lehoucq, Richard B.
Lehoucq, Richard B.
Proposed for publication in Journal of Elasticity.
Lehoucq, Richard B.
Reu, P.L.
Scovazzi, Guglielmo S.
Westbrook, Jessica ; Malczynski, Leonard A. ; Manley, Dawn K.
White, Jonathan R.
Hirschfeld, Deidre A.
Proposed for publication in The Bridge, National Academy of Engineering.
Kiff, Scott ; Brubaker, Erik M. ; Gerling, Mark ; Marleau, P. ; Streicher, Michael W.
Paquette, Joshua
Crozier, Paul
Ermanoski, Ivan
Mcdaniel, Anthony H.
Burchard, Carrie
Reiser, Anita S.
Duran, Leroy G.
Nature Communication
Itamura, Michael
Scharmer, Carol
Merchant, Bion J. ; Hart, Darren M.
Proposed for publication in Aerosol Science and Technology.
Schrader, Paul
Silling, Stewart
Lentine, Anthony L. ; Ford, Justin R. ; Finn, Jason R. ; Furrer III, Clint T. ; Bryan, Jon R. ; Gonzalez, Sigifredo
Lentine, Anthony L.
Dahms, Rainer N.U. ; Manin, Julien L. ; Pickett, Lyle M.
Slinkard, Megan E. ; Heck, Stephen L. ; Carr, Dorthe B. ; Eckert, Regina E. ; Young, Christopher J.
Draelos, Timothy J. ; Ballard, Sanford ; Young, Christopher J.
Jones, Brent M. ; Vesey, Roger A.
Coverdale, Christine A. ; Jones, Brent M. ; Ampleford, David
Forden, Geoffrey
Stearley, Jon S. ; Ballance, Robert A. ; Bauman, Lara E.
Tandon, Rajan
Proposed for publication in Journal of Sound and Vibration.
Brake, M.R.W.
Hipp, James R. ; Young, Christopher J. ; Encarnacao, Andre V. ; Kraus, Brian J.
Thompson, Kyle R.
Proposed for publication in New Journal of Physics.
Blume-Kohout, Robin
Proposed for publication in Physical Review B.
Zhou, Xiaowang ; Wong, Bryan M. ; Doty, F.P. ; Zimmerman, Jonathan A.
Hooper, Russell ; Schmidt, Rodney C. ; Belcourt, Kenneth
Hooper, Russell ; Schmidt, Rodney C. ; Belcourt, Kenneth
Weatherford, Brandon R. ; Barnat, Edward
Kiff, Scott
Rochau, Gregory A.
Chandler, Gordon A.
Schwarz, Jens ; Savage, Mark E. ; Lucero, Diego
Pinar, Ali P. ; Comandur, Seshadhri ; Kolda, Tamara G.
Stygar, William A.
Doak, Justin E. ; Wilson, Andrew T. ; Suppona, Roger A.
Wrons, Ralph J.
Reiser, Anita S.
Reiser, Anita S.
Matzen, Maurice K.
Mcdaniel, Michael ; Horak, Karl E. ; Bleakly, Denise
Miller, James E. ; Allendorf, Mark D. ; Ambrosini, Andrea ; Coker, Eric N. ; Ermanoski, Ivan ; Hogan Jr., Roy E. ; Mcdaniel, Anthony H.
Smartt, Heidi A.
Leeper, Ramon J.
Duran, Felicia A. ; Wyss, Gregory D.
Carroll, M.S.
Groth, Katrina M. ; Swiler, Laura P.
Proposed for publication in the Journal of Energy Policy.
Manley, Dawn K. ; Hines, Valerie A.
Proposed for publication in Microfluidics and Nanofluidics.
Debusschere, Bert J.
Reyna, David R.
Duggan, Ruth A.
Proposed for publication in Physics of Plasmas.
Jones, Brent M.
Serna, Lysle M.
Encarnacao, Andre V. ; Young, Christopher J. ; Ballard, Sanford
Proposed for publication in Serials Review.
Pollock, Danielle E.
Varennes, Julien V.
Baldwin, George T. ; Haddal, Risa
Kernan, Deborah A.
Allendorf, Mark D.
Gurule, Kaitlyn
Key, Rebecca ; Duran, Felicia A. ; Cipiti, Benjamin B.
Russell, John
Quintana, Enrico C.
Biedermann, Grant
Ferreira, Kurt ; Pedretti, Kevin T.T. ; Brightwell, Ronald B.
Ferreira, Kurt
Leach, Janice
Marleau, P.
Chen, Qiushi ; Ostien, Jakob T.
Kolski, Alyssa J.C.
Brennan, J. ; Brubaker, Erik M. ; Gerling, Mark ; Marleau, P. ; Mcmillan, Kyle ; Schuster, Patricia F. ; Steele, J.
White, Jonathan R.
Rogers, David M. ; Rempe, Susan B.
Timlin, Jerilyn A.
Kirsch, Greg C.
John, Charles J. ; Yoshimura, Ann S. ; Mahrous, Karim M. ; Yang, Lynn I. ; Mier, Steven A. ; Heath, Zach ; Guzman, Katherine D. ; Mueller, Stephen ; Rothfuss, Andrew J. ; Teclemariam, Nerayo P.
Swift, Peter
Mizner, Jack H. ; Meincke, Carol L. ; Vetter, Douglas W.
Ang, James A.
Proposed for publication in Water Resources Research.
Proposed for publication in Innovation Magazine.
Beresh, Steven J.
Tidwell, Vincent C. ; Roberts, Barry L.
Ferreira, Kurt ; Fiala, David F.
Zage, David J.
Duran, Leroy G.
Duran, Leroy G.
Proposed for publication in Experimental Techniques.
Reu, P.L.
Borneo, Daniel R.
Harding, Eric ; Martin, Matthew R.
Kotulski, Joseph D.
Choe, Yung R.
Michalski, John T.
Proposed for publication in Langmuir.
Pierce, Flint ; Lechman, Jeremy B. ; Hewson, John C.
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