Academic literature on the topic 'Dynamic SIMS'
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Journal articles on the topic "Dynamic SIMS"
JUNKER, E., K. P. WIRTH, and F. W. RÖLLGEN. "DYNAMIC SIMS OF SUPERSATURATED SOLUTIONS." Le Journal de Physique Colloques 50, no. C2 (February 1989): C2–53—C2–58. http://dx.doi.org/10.1051/jphyscol:1989210.
Full textGarrison, Barbara J., Zachary J. Schiffer, Paul E. Kennedy, and Zbigniew Postawa. "Modeling dynamic cluster SIMS experiments." Surface and Interface Analysis 45, no. 1 (March 1, 2012): 14–17. http://dx.doi.org/10.1002/sia.4905.
Full textLakens, Daniël, and Kirsten I. Ruys. "The dynamic interaction of conceptual and embodied knowledge." Behavioral and Brain Sciences 33, no. 6 (December 2010): 449–50. http://dx.doi.org/10.1017/s0140525x10001329.
Full textDavis, AN, P. Peres, A. Merkulov, F. Desse, S.-Y. Choi, and M. Schuhmacher. "Dynamic SIMS Applications for Photovoltaic Technology Development." Microscopy and Microanalysis 16, S2 (July 2010): 1392–93. http://dx.doi.org/10.1017/s1431927610062975.
Full textPeres, P., A. Merkulov, S. Y. Choi, F. Desse, and M. Schuhmacher. "Characterization of LED materials using dynamic SIMS." Surface and Interface Analysis 45, no. 1 (May 15, 2012): 437–40. http://dx.doi.org/10.1002/sia.4952.
Full textLinton, Richard W. "Direct Imaging of Trace Elements, Isotopes, and Molecules Using Mass Spectrometry." Microscopy and Microanalysis 4, S2 (July 1998): 124–25. http://dx.doi.org/10.1017/s1431927600020742.
Full textLinton, Richard W. "Secondary ion mass spectroscopy in the biological and materials sciences." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 498–99. http://dx.doi.org/10.1017/s0424820100148320.
Full textSalaita, Ghaleb N., and Gar B. Hoflund. "Dynamic SIMS study of Cr3C2, Cr7C3 and Cr23C6." Applied Surface Science 134, no. 1-4 (September 1998): 194–96. http://dx.doi.org/10.1016/s0169-4332(98)00246-3.
Full textPeres, Paula, Seo-Youn Choi, François Desse, Philippe Bienvenu, Ingrid Roure, Yves Pipon, Clotilde Gaillard, Nathalie Moncoffre, Lola Sarrasin, and Denis Mangin. "Dynamic SIMS for materials analysis in nuclear science." Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena 36, no. 3 (May 2018): 03F117. http://dx.doi.org/10.1116/1.5017027.
Full textFichtner, M., J. Goschnick, and H. J. Ache. "Identification of nitrates and sulphates with dynamic SIMS." Fresenius' Journal of Analytical Chemistry 348, no. 3 (1994): 201–4. http://dx.doi.org/10.1007/bf00325360.
Full textDissertations / Theses on the topic "Dynamic SIMS"
Janák, Marcel. "Diagnostika polovodičů a monitorování chemických reakcí metodou SIMS." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443241.
Full textHolkovič, Martin. "SDN řízené pomocí identity uživatelů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-235018.
Full textJana, Arindam. "Collage et adhérence de particules dans le domaine de la sous-monocouche." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0074/document.
Full textDuring plasma assisted deposition, properties of the coating substrate interface depend on the first atomic layer of the deposit, or the atoms that first start to cover the surface. Therefore the good knowledge of the sticking coefficient and the reorganization of the surface following particle impact is an essential issue to achieve the description of the behavior of the processed surface and, therefore, its expected properties. Consequently, we investigated the interaction between incoming particles (C, Ti, W) and a silicon surface by using an approach combining molecular dynamic simulations and experiments. Various initial conditions were studied, energy, fluence and incidence angle of the incoming particles. An important part of this work has consisted in adapting the molecular dynamic codes (using reactive force fields) to the investigated systems. Meanwhile, experimental procedure specifically devoted to the use of the Storing Matter facility was also developed. Results show that the sticking coefficient (SC) value is in the range [0.7 – 1] irrespectively of the incoming species; in the case of W, almost all atoms stick on the surface (SC~~1). Besides the determination of sticking coefficient, the surface modification resulting from the particles impingement were determined for various initial conditions (energy, fluence, angle) in terms of implantation and displacement of the incoming species, and surface sputtering as well
Panetier, Clémentine. "Étude des mécanismes de migration du césium dans le dioxyde d'uranium stoechiométrique et sur-stoechiométrique : influence du molybdène." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1248/document.
Full textIn the nuclear fuel UO2, which is widely used in Pressurized Water Reactor (PWR), Cs is a volatile element and is one of the most abundant fission product (FP). Furthermore, 137Cs is known to be highly radiotoxic. During a hypothetical accident, release of Cs would be particularly problematic for the environment. Hence, study of this element is of major concern for nuclear safety. To assess this issue, the French nuclear safety institute (IRSN) develops codes to predict FP release from nuclear fuel in normal and accidental conditions. This code requires fundamental data on FP behavior such as diffusion coefficient of these elements in UO2 as a function of temperature and atmosphere conditions (leading to UO2+x formation in oxidative conditions). The aim of this PhD, supported by the IRSN, is to study Cs migration in stoichiometric and hyper-stoichiometric uranium dioxide with and without the presence of Mo, in normal and accidental conditions of a PWR. This latter element is also an abundant FP, which is important to consider because it acts as an oxygen buffer in the fuel and may interact chemically with Cs. Such interactions may affect Cs behavior, hence its release from the fuel. Therefore, Cs-Mo interactions are considered in our study. The experimental procedure consists in simulating the Cs and/or Mo presence in UO2 and UO2+x pellets by ion implantation of stable isotopes 133Cs and/or 95Mo. Then, high temperature annealing (950 °C - 1600 °C) under controlled atmosphere or electronic excitations induced by irradiation coupled with temperature are performed to induce Cs and Mo migration. Secondary Ion Mass Spectrometry (SIMS) is used to follow the concentration profile evolution of these elements, allowing extracting effective diffusion coefficients of Cs in UO2 and UO2+x as a function of irradiation or thermal treatment. Microstructure characterizations were made by Raman spectroscopy and transmission electron microscopy (TEM). We show that Cs is mobile in UO2 under reducing atmosphere, even though some of the Cs is trapped in Cs-bubbles located near the surface. We evidence that Mo presence prevents Cs to be mobile. The same tendency is observed in UO2+x under oxidizing atmosphere. Nevertheless, Cs immobilization mechanisms in presence of Mo vary upon redox conditions used during annealing. In reducing conditions, TEM experiments showed formation of Cs bubbles associated with Mo metallic precipitates in co-implanted samples. In oxidative conditions, absence of Cs mobility could be explained by Mo oxidation leading to possible Cs-Mo chemical interactions. For the first time, semi-empirical potentials were used to perform molecular dynamic (MD) calculations on Cs and Mo diffusion in UO2 and UO2+x. These simulations also allowed characterizing oxygen diffusion mechanisms in these matrixes in presence of Cs and Mo
Sims, Kirk [Verfasser]. "Dynamics of international mission in the Methodist Church Ghana / Kirk Sims." Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2018. http://d-nb.info/1173660690/34.
Full textKalathingal, Sajith. "Transforming TLP into DLP with the dynamic inter-thread vectorization architecture." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S133/document.
Full textMany modern microprocessors implement Simultaneous Multi-Threading (SMT) to improve the overall efficiency of superscalar CPU. SMT hides long latency operations by executing instructions from multiple threads simultaneously. SMT may execute threads of different processes, threads of the same processes or any combination of them. When the threads are from the same process, they often execute the same instructions with different data most of the time, especially in the case of Single-Program Multiple Data (SPMD) applications.Traditional SMT architecture exploit thread-level parallelism and with the use of SIMD execution units, they also support explicit data-level parallelism. SIMD execution is power efficient as the total number of instructions required to execute a complete program is significantly reduced. This instruction reduction is a factor of the width of SIMD execution units and the vectorization efficiency. Static vectorization efficiency depends on the programmer skill and the compiler. Often, the programs are not optimized for vectorization and hence it results in inefficient static vectorization by the compiler.In this thesis, we propose the Dynamic Inter-Thread vectorization Architecture (DITVA) to leverage the implicit data-level parallelism in SPMD applications by assembling dynamic vector instructions at runtime. DITVA optimizes an SIMD-enabled in-order SMT processor with inter-thread vectorization execution mode. When the threads are running in lockstep, similar instructions across threads are dynamically vectorized to form a SIMD instruction. The threads in the convergent paths share an instruction stream. When all the threads are in the convergent path, there is only a single stream of instructions. To optimize the performance in such cases, DITVA statically groups threads into fixed-size independently scheduled warps. DITVA leverages existing SIMD units and maintains binary compatibility with existing CPU architectures
Fung, Wilson Wai Lun. "Dynamic warp formation : exploiting thread scheduling for efficient MIMD control flow on SIMD graphics hardware." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2268.
Full textZhuang, Lili. "Bayesian Dynamical Modeling of Count Data." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315949027.
Full textKerr, Andrew. "A model of dynamic compilation for heterogeneous compute platforms." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47719.
Full textHolewinski, Justin A. "Automatic Code Generation for Stencil Computations on GPU Architectures." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354545992.
Full textBooks on the topic "Dynamic SIMS"
Bishop, H. E., P. R. Chalker, and D. W. Smart. Dynamic SIMS Analysis of Nickel Sequentially Oxidised in [16]O[2] and [18]O[2] Atmospheres. AEA Technology Plc, 1987.
Find full textRubenzer, Steven J. Assessing Negative Response Bias in Competency to Stand Trial Evaluations. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190653163.001.0001.
Full textSeborg. Process Dynamics & Control with Using Process Simu Lators in Chemical Engineering V2.0 Set. John Wiley & Sons Inc, 2003.
Find full textAronson, Pamela. The Dynamics and Causes of Gender and Feminist Consciousness and Feminist Identities. Edited by Holly J. McCammon, Verta Taylor, Jo Reger, and Rachel L. Einwohner. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190204204.013.5.
Full textBittner, Edward A., and Shawn P. Fagan. The host response to trauma and burns in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0304.
Full textBook chapters on the topic "Dynamic SIMS"
Hutter, Herbert. "Dynamic Secondary Ion Mass Spectrometry (SIMS)." In Surface and Thin Film Analysis, 141–59. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527636921.ch8.
Full textDowsett, M. G., E. H. C. Parker, and D. S. McPhail. "High Dynamic Range SIMS Depth Profiles for Aluminium in Silicon-on-Sapphire." In Springer Series in Chemical Physics, 340–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82724-2_90.
Full textMisevic, Gradimir N., Bernard Rasser, Vic Norris, Cédric Dérue, David Gibouin, Fabrice Lefebvre, Marie-Claire Verdus, Anthony Delaune, Guillaume Legent, and Camille Ripoll. "Chemical Microscopy of Biological Samples by Dynamic Mode Secondary Ion Mass Spectrometry (SIMS)." In Methods in Molecular Biology, 163–73. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-413-1_10.
Full textJackson, David. "Change: Seven Sins, Seven Virtues." In Dynamic Organisations, 158–68. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-14169-2_8.
Full textKrzikalla, Olaf, Florian Wende, and Markus Höhnerbach. "Dynamic SIMD Vector Lane Scheduling." In Lecture Notes in Computer Science, 354–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46079-6_25.
Full textRajaji, R. "Dynamics of Stochastic SIRS Model." In Trends in Mathematics, 415–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01120-8_46.
Full textSeifert, Michael, Mohammed Saleem, Daniel Breitenstein, Hans-Joachim Galla, and Michaela C. Meyer. "ToF-SIMS Imaging of Lipid/Protein Model Systems." In Structure and Dynamics of Membranous Interfaces, 19–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9780470388495.ch2.
Full textKarrenberg, Ralf. "Dynamic Code Variants." In Automatic SIMD Vectorization of SSA-based Control Flow Graphs, 127–39. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10113-8_7.
Full textKhurpia, Naman, Arunim Roy, Saransh Goyal, and J. Saira Banu. "Simulation of MD Using OpenMP and OpenMP–SIMD." In Advances in Fluid Dynamics, 519–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4308-1_40.
Full textZhang, Zhao-Fei, Jian-Jun Luo, and Bai-Chun Gong. "Studies on Optimized Algorithm for SINS Under High Dynamic." In Advances in Intelligent Systems and Computing, 67–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38789-5_16.
Full textConference papers on the topic "Dynamic SIMS"
Juuso, Esko K. "Intelligent dynamic simulation of fed-batch fermentation processes." In The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden. Linköping University Electronic Press, 2020. http://dx.doi.org/10.3384/ecp20170132.
Full textVytvytskyi, Liubomyr, and Bernt Lie. "Structural analysis in Julia for dynamic systems in OpenModelica." In The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden. Linköping University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp2017017.
Full textPagh Nielsen, Mads, and Kim Sørensen. "Dynamic modeling of heat pumps for ancillary services in local district heating concepts." In SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland. Linköping University Electronic Press, 2021. http://dx.doi.org/10.3384/ecp2017639.
Full textOppegård, Emil, Asanthi Jinasena, Anders Hammer Strømman, Jon Are Suul, and Odne Stokke Burheim. "Study of an Industrial Electrode Dryer of a Lithium-Ion Battery Manufacturing Plant: Dynamic Modeling." In SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland. Linköping University Electronic Press, 2021. http://dx.doi.org/10.3384/ecp2017677.
Full textThapa, Rajan K., Saroj Thapa, Rajan Jaiswal, Nora C. I. S. Furuvik, and Britt M. E. Moldestad. "Experimental and computational study on the effect of ash deposition on fluid dynamic behavior in a bubbling fluidized bed gasifier." In The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden. Linköping University Electronic Press, 2020. http://dx.doi.org/10.3384/ecp20170170.
Full textGui, D., Y. n. Hua, X. z. Xing, and S. p. Zhao. "Study on Potassium Contamination in SOI Wafer Fabrication Using Dynamic SIMS." In 13th International Symposium on the Physical and Failure Analysis of Integrated Circuits. IEEE, 2006. http://dx.doi.org/10.1109/ipfa.2006.251014.
Full textCunningham, Heather, Mindy Zimmer, Paula Peres, Natalie Sievers, James Bowen, Kellen Springer, and April Carman. "36Cl/35Cl by LG-Sims: Quantifying the Dynamic Range on NaCl." In Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.501.
Full textHuang, Yanhua, Lei Zhu, Kenny Ong, Hanwei Teo, and Younan Hua. "An Effective SIMS Methodology for GOI Contamination Analysis." In ISTFA 2013. ASM International, 2013. http://dx.doi.org/10.31399/asm.cp.istfa2013p0427.
Full textGromova, Ekaterina, Dmitry Gromov, Nikolay Timonin, Anna Kirpichnikova, and Stewart Blakeway. "A Dynamic Game of Mobile Agent Placement in a MANET." In 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS). IEEE, 2016. http://dx.doi.org/10.1109/sims.2016.25.
Full textAntonova, Galina M., and Vadim V. Makarov. "Simulation of Data Communication System taking into Account Dynamic Properties." In Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press, 2018. http://dx.doi.org/10.3384/ecp17142375.
Full textReports on the topic "Dynamic SIMS"
Winter, L. SIM Grid Star Observations: Astrometry With a New High Dynamic Range Imaging Device. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada435793.
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