Academic literature on the topic 'Reaction systems'

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Journal articles on the topic "Reaction systems"

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Manzoni, Luca, Antonio E. Porreca, and Grzegorz Rozenberg. "Facilitation in reaction systems." Journal of Membrane Computing 2, no. 3 (August 31, 2020): 149–61. http://dx.doi.org/10.1007/s41965-020-00044-0.

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Abstract Reaction systems is a formal model of computation which originated as a model of interactions between biochemical reactions in the living cell. These interactions are based on two mechanisms, facilitation and inhibition, and this is well reflected in the formulation of reaction systems. In this paper, we investigate the facilitation aspect of reaction systems, where the products of a reaction may facilitate other reactions by providing some of their reactants. This aspect is formalized through positive dependency graphs which depict explicitly such facilitating interactions. The focus of the paper is on demonstrating how structural properties of reaction systems defined through the properties of their positive dependency graphs influence the behavioural properties of (suitable subclasses of) reaction systems, which, as usual, are defined through their transition graphs.
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EHRENFEUCHT, ANDRZEJ, MICHAEL MAIN, and GRZEGORZ ROZENBERG. "FUNCTIONS DEFINED BY REACTION SYSTEMS." International Journal of Foundations of Computer Science 22, no. 01 (January 2011): 167–78. http://dx.doi.org/10.1142/s0129054111007927.

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Reaction systems are a formal model of interactions between biochemical reactions. They consist of sets of reactions, where each reaction is classified by its set of reactants (needed for the reaction to take place), its set of inhibitors (each of which prevents the reaction from taking place), and its set of products (produced when the reaction takes place) – the set of reactants and inhibitors form the resources of the reaction. Each reaction system defines a (transition) function on its set of states. (States here are subsets of an a priori given set of biochemical entities.) In this paper we investigate properties of functions defined by reaction systems. In particular, we investigate how the power of defining functions depends on available resources, and we demonstrate that with small resources one can define functions exhibiting complex behavior.
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BRIJDER, ROBERT, ANDRZEJ EHRENFEUCHT, MICHAEL MAIN, and GRZEGORZ ROZENBERG. "A TOUR OF REACTION SYSTEMS." International Journal of Foundations of Computer Science 22, no. 07 (November 2011): 1499–517. http://dx.doi.org/10.1142/s0129054111008842.

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Reaction systems are a formal framework for investigating processes carried out by biochemical reactions. This paper is an introduction to reaction systems. It provides basic notions together with the underlying intuition and motivation as well as two examples (a binary counter and transition systems) of "programming" with reaction systems. It also provides a tour of some research themes.
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Volpert, V. A., Y. Nec, and A. A. Nepomnyashchy. "Fronts in anomalous diffusion–reaction systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1982 (January 13, 2013): 20120179. http://dx.doi.org/10.1098/rsta.2012.0179.

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A review of recent developments in the field of front dynamics in anomalous diffusion–reaction systems is presented. Both fronts between stable phases and those propagating into an unstable phase are considered. A number of models of anomalous diffusion with reaction are discussed, including models with Lévy flights, truncated Lévy flights, subdiffusion-limited reactions and models with intertwined subdiffusion and reaction operators.
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MANZONI, LUCA, DIOGO POÇAS, and ANTONIO E. PORRECA. "SIMPLE REACTION SYSTEMS AND THEIR CLASSIFICATION." International Journal of Foundations of Computer Science 25, no. 04 (June 2014): 441–57. http://dx.doi.org/10.1142/s012905411440005x.

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Reaction systems are a model of computation inspired by biochemical reactions involving reactants, inhibitors and products from a finite background set. We define a notion of multi-step simulation among reaction systems and derive a classification with respect to the amount of resources (reactants and inhibitors) involved in each reaction. We prove that “simple” reaction systems, having at most one reactant and one inhibitor per reaction, suffice in order to simulate arbitrary systems. Finally, we show that the equivalence relation of mutual simulation induces exactly five linearly ordered classes of reaction systems characterizing well-known subclasses of the functions over Boolean lattices, such as the constant, additive (join-semilattice endomorphisms), monotone, and antitone functions.
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Ehrenfeucht, Andrzej, Jetty Kleijn, Maciej Koutny, and Grzegorz Rozenberg. "Evolving reaction systems." Theoretical Computer Science 682 (June 2017): 79–99. http://dx.doi.org/10.1016/j.tcs.2016.12.031.

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Nicolis, Gregoire, and Anne Wit. "Reaction-diffusion systems." Scholarpedia 2, no. 9 (2007): 1475. http://dx.doi.org/10.4249/scholarpedia.1475.

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Bagossy, Attila, and György Vaszil. "Simulating reversible computation with reaction systems." Journal of Membrane Computing 2, no. 3 (September 8, 2020): 179–93. http://dx.doi.org/10.1007/s41965-020-00049-9.

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Abstract Reaction systems are a formal model of computation providing a framework for investigating biochemical reactions inside living cells. We look at the functioning of these systems as a process producing a series of different possible sets of entities representing states which can be changed by the application of reactions, and we study reversibility and its simulation in this framework. Our goal is to establish an Undo-Redo-Do-like semantics of reversibility with environmental control over the direction of the computation following a so-called no-memory approach, that is, without introducing modifications to the model of reaction systems itself. We first establish requirements the systems must satisfy in order to produce processes consisting of states with unique predecessors, then define reversible reaction systems in terms of reversible interactive processes. For such reversible systems, we also construct simulator systems that can traverse between the states of reversible interactive processes back and forth based on the input of a special “rollback” symbol from the environment.
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Park, Joon Sik, and Jeong Min Kim. "Interface Reactions and Synthetic Reaction of Composite Systems." Materials 3, no. 1 (January 8, 2010): 264–95. http://dx.doi.org/10.3390/ma3010264.

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Westerlund, Tapio, and Tapio Salmi. "Factorization of reaction systems applied to catalytic reactions." Chemical Engineering Science 45, no. 1 (1990): 237–41. http://dx.doi.org/10.1016/0009-2509(90)87095-a.

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Dissertations / Theses on the topic "Reaction systems"

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Fromell, Karin. "Nanoscale Reaction Systems." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8249.

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Steele, Aaron J. "Collective behavior in chemical systems." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5386.

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Thesis (Ph. D.)--West Virginia University, 2007.
Title from document title page. Document formatted into pages; contains vii, 126 p. : ill. (some col.) + video files. Includes supplementary video files in a zip file. Includes abstract. Includes bibliographical references.
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He, Taiping. "Reaction-Diffusion Systems with Discontinuous Reaction Functions." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-03192005-101102/.

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This dissertation studies coupled reaction diffusion systems with discontinuous reaction functions. It includes three parts: The first part is concerned with the existence of solutions for a coupled system of two parabolic equations and the second part is devoted to the monotone iterative methods for monotone and mixed quasimonotone functions. Various monotone iterative schemes are presented and each of these schemes leads to an existence-comparison theorem and the monotone convergence of the maximal and minimal sequences. In the third part, the monotone iterative schemes are applied to compute numerical solutions of the system. These numerical solutions are based on the finite element method which gives a finite approximation of the coupled system. Numerical results for some scalar parabolic bounday problems and a coupled system of parabolic equations are also given.
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Newton, Elizabeth Lynn. "Sustainable Reaction and Separation Systems." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7463.

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With increasing environmental awareness and natural resource limitations, researchers must begin to incorporate sustainability into their process and product designs. One target for green engineering is in reaction and separation design. This is typically done in a wasteful and often toxic manner with organic solvents and lack of recycle. The following thesis discusses alternatives to these costly separations by means of ionic liquids, benign extraction, separation with carbon dioxide, and near critical water. Ionic liquids are combined with carbon dioxide to induce melting point depressions of up to 124 degrees Celsius. Using this system as a reaction medium will offer control over the reaction phases while utilizing green solvents. Benign extractions are performed on both ferulic acid and on proteins from biomass by replacing alkaline solvents and costly protein separation techniques with simple liquid-liquid extraction. This means simpler systems and less waste than from previous methods. This thesis also discusses an opportunity for more efficient separation and recycle of a pharmaceutical catalyst, Mn-Salen. Using carbon dioxide with the organic aqueous tunable solvent system, the reaction can be run homogeneously and the product and catalyst separated heterogeneously, thus creating an extremely efficient process. Lastly, near critical water is used as an extraction and reaction medium by extracting ferulic acid from Brewers Spent Grain and then catalyzing its transformation to 4-vinylguaiacol. In this manner a simple, benign process is used to turn waste into valuable chemicals. Although somewhat different, each of the studied processes strives to eliminate waste and toxicity of many commonly used reaction and separation techniques, thus creating safe and sustainable processes.
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Hemming, Christopher John. "Resonantly forced inhomogeneous reaction-diffusion systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0022/MQ50344.pdf.

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Brendel, Marc Levin. "Incremental identification of complex reaction systems /." Düsseldorf : VDI-Verl, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015009980&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Smith, Mark. "Spatial reaction systems on parallel supercomputers." Thesis, University of Edinburgh, 1994. http://hdl.handle.net/1842/12985.

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A wide variety of physical, chemical and biological systems can be represented as a collection of discrete spatial locations within which some interaction proceeds, and between which reactants diffuse or migrate. Many such real-world spatial reaction systems are known to be both non-linear and stochastic in nature, and thus studies of these systems have generally relied upon analytic approximation and computer simulation. However, this later approach can become impractical for large, complex systems which require massive computational resources. In this work we analyse a general spatial reaction system in both the deterministic and stochastic scenarios. A study of the deterministic parameter space reveals a new categorisation for system development in terms of its criticality. This result is then coupled with a complete analysis of the linearised stochastic system, in order to provide an understanding of the spatial-temporal covariance structures within reactant distributions. In addition to an analysis, and empirical confirmation, of the various criticality behaviours in both deterministic and stochastic cases, we use our theoretical results to enable efficient implementation of spatial reaction system simulations on parallel supercomputers. Such novel computing resources are necessary to enable the study of realistic-scale, long-term stochastic activity, however they are notoriously difficult to exploit. We have therefore developed advanced programming and implementation techniques, concentrating mainly on dynamic load-balancing methodologies, to enable such studies. These techniques make direct use of our analytic results in order to achieve the most efficient exploitation of supercomputing resources, given the particular attributes of the system under study. These new techniques have allowed us to investigate complex individual-based systems on a previously untried scale. In addition, they are of general applicability to a wide range of real-world simulations.
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Vaughan, Asa Dee Byrne Mark E. "Reaction analysis of templated polymer systems." Auburn, Ala., 2008. http://hdl.handle.net/10415/1538.

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Memon, Muhammad Hanif. "Microemulsions as analytical reaction media." Thesis, University of Hull, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235839.

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Nagaiah, Chamakuri. "Adaptive numerical simulation of reaction-diffusion systems." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985277882.

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Books on the topic "Reaction systems"

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Méndez, Vicenç, Sergei Fedotov, and Werner Horsthemke. Reaction–Transport Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11443-4.

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1955-, Caristi Gabriella, and Mitidieri Enzo, eds. Reaction diffusion systems. New York: Marcel Dekker, 1998.

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Cherniha, Roman, and Vasyl' Davydovych. Nonlinear Reaction-Diffusion Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65467-6.

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Warnatz, Jürgen, and Willi Jäger, eds. Complex Chemical Reaction Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83224-6.

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Wolfrum, J., H. R. Volpp, R. Rannacher, and J. Warnatz, eds. Gas Phase Chemical Reaction Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80299-7.

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Ben, De Lacy Costello, and Asai Tetsuya, eds. Reaction-diffusion computers. Boston: Elsevier, 2005.

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Qian, Hong, and Hao Ge. Stochastic Chemical Reaction Systems in Biology. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86252-7.

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Pauer, Werner, ed. Polymer Reaction Engineering of Dispersed Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73479-8.

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Pauer, Werner, ed. Polymer Reaction Engineering of Dispersed Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96436-2.

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Plath, Peter J., ed. Optimal Structures in Heterogeneous Reaction Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83899-6.

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Book chapters on the topic "Reaction systems"

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Męski, Artur, Maciej Koutny, and Wojciech Penczek. "Reaction Mining for Reaction Systems." In Unconventional Computation and Natural Computation, 131–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92435-9_10.

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Méndez, Vicenç, Sergei Fedotov, and Werner Horsthemke. "Reaction Kinetics." In Reaction–Transport Systems, 3–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11443-4_1.

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Manzoni, Luca, Mauro Castelli, and Leonardo Vanneschi. "Evolutionary Reaction Systems." In Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 13–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29066-4_2.

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Scherer, Philipp, and Sighart F. Fischer. "Reaction–Diffusion Systems." In Biological and Medical Physics, Biomedical Engineering, 147–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-85610-8_13.

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Ehrenfeucht, Andrzej, Jetty Kleijn, Maciej Koutny, and Grzegorz Rozenberg. "Minimal Reaction Systems." In Lecture Notes in Computer Science, 102–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35524-0_5.

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Scherer, Philipp O. J., and Sighart F. Fischer. "Reaction–Diffusion Systems." In Biological and Medical Physics, Biomedical Engineering, 173–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55671-9_13.

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Schmal, Martin, and José Carlos Pinto. "Multiphase reacting systems." In Chemical Reaction Engineering, 623–36. 2nd ed. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003046608-21.

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Fages, François, Thierry Martinez, David A. Rosenblueth, and Sylvain Soliman. "Influence Systems vs Reaction Systems." In Computational Methods in Systems Biology, 98–115. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45177-0_7.

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Méndez, Vicenç, Sergei Fedotov, and Werner Horsthemke. "Reaction–Diffusion Fronts." In Reaction–Transport Systems, 123–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11443-4_4.

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Méndez, Vicenç, Sergei Fedotov, and Werner Horsthemke. "Turing Instabilities in Homogeneous Systems." In Reaction–Transport Systems, 287–331. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11443-4_10.

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Conference papers on the topic "Reaction systems"

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Casey, Abigail, and Gregory E. Triplett. "Microfluidic reaction design for real time chemical reactions monitoring." In Frontiers in Biological Detection: From Nanosensors to Systems XIII, edited by Benjamin L. Miller, Sharon M. Weiss, and Amos Danielli. SPIE, 2021. http://dx.doi.org/10.1117/12.2575995.

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Elsaesser, Thomas. "Femtosecond intramolecular proton transfer in hydrogen bonded systems." In Ultrafast reaction dynamics and solvent effects. AIP, 1994. http://dx.doi.org/10.1063/1.45384.

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SHIMIZU, YUGO, MASAHIRO HATTORI, SUSUMU GOTO, and MINORU KANEHISA. "GENERALIZED REACTION PATTERNS FOR PREDICTION OF UNKNOWN ENZYMATIC REACTIONS." In Proceedings of the 8th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2008). IMPERIAL COLLEGE PRESS, 2008. http://dx.doi.org/10.1142/9781848163003_0013.

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Staib, Arnulf, Rossend Rey, and James T. Hynes. "Ultrafast vibrational predissociation and relaxation in hydrogen-bonded systems." In Ultrafast reaction dynamics and solvent effects. AIP, 1994. http://dx.doi.org/10.1063/1.45406.

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Veser, G., G. Friedrich, M. Freygang, and R. Zengerle. "A micro reaction tool for heterogeneous catalytic gas phase reactions." In Technical Digest. IEEE International MEMS 99 Conference. Twelfth IEEE International Conference on Micro Electro Mechanical Systems (Cat. No.99CH36291). IEEE, 1999. http://dx.doi.org/10.1109/memsys.1999.746861.

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Camacho-Solorio, Leobardo, Rafael Vazquez, and Miroslav Krstic. "Boundary observer design for coupled reaction-diffusion systems with spatially-varying reaction." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963433.

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Bastin, G., and J. Levine. "On state reachability of reaction systems." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203292.

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Tracinà, Rita, Mariano Torrisi, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Quasi Self-adjoint Reaction Diffusion Systems." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637880.

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FLAVIN, J. N. "STABILITY CONSIDERATIONS FOR REACTION-DIFFUSION SYSTEMS." In Proceedings of the 14th Conference on WASCOM 2007. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812772350_0040.

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"Session details: Reflection, reaction, and design." In DIS04: Designing Interactive Systems 2004. New York, NY, USA: ACM, 2004. http://dx.doi.org/10.1145/3244250.

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Reports on the topic "Reaction systems"

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Gann, Richard G., Michael A. Riley, Joshua M. Repp, Andrew S. Whittaker, Andrei M. Reinhorn, and Paul A. Hough. Reaction of ceiling tile systems to shocks. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ncstar.1-5d.

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Davis, H. Floyd. Reaction dynamics and photochemistry of divalent systems. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/10181507.

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McLane, V. EXFOR systems manual: Nuclear reaction data exchange format. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/373918.

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Barles, G., L. C. Evans, and P. E. Souganidis. Wavefront Propagation for Reaction-Diffusion Systems of PDE. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada210862.

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Hale, Jack K., and Kunimochi Sakamoto. Shadow Systems and Attractors in Reaction-Diffusion Equations,. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada185804.

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MCLANE, V. EXFOR SYSTEMS MANUAL NUCLEAR REACTION DATA EXCHANGE FORMAT. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/767087.

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MCLANE, V. EXFOR SYSTEMS MANUAL NUCLEAR REACTION DATA EXCHANGE FORMAT. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/767144.

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Graff, M. M. [Reaction dynamics of high-temperature systems]. Final report. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/10171468.

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Mischaikow, Konstantin. Classification of Traveling Wave Solutions of Reaction-Diffusion Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada167101.

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Moles, Joshua. Chemical Reaction Network Control Systems for Agent-Based Foraging Tasks. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2200.

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