Relevant bibliographies by topics / Chemical reaction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Chemical reaction'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Chemical reaction"

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DE LACY COSTELLO, B. P. J., I. JAHAN, A. ADAMATZKY, and N. M. RATCLIFFE. "CHEMICAL TESSELLATIONS." International Journal of Bifurcation and Chaos 19, no. 02 (2009): 619–22. http://dx.doi.org/10.1142/s0218127409023238.

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We report a simple set of chemical reactions based on the reaction of a range of metal salts with potassium ferricyanide loaded gels that spontaneously produce complex and colorful tessellations of the plane. These reactions provide a great resource for scientific demonstrations, whilst also constituting an important class of nonlinear pattern forming reaction.
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Sieniutycz, Stanisław. "A Fermat-like Principle for Chemical Reactions in Heterogeneous Systems." Open Systems & Information Dynamics 09, no. 03 (2002): 257–72. http://dx.doi.org/10.1023/a:1019708629128.

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We formulate a variational principle of Fermat type for chemical kinetics in heterogeneous reacting systems. The principle is consistent with the notion of ‘intrinsic reaction coordinate’ (IRC), the idea of ‘chemical resistance’ (CR) and the second law of thermodynamics. The Lagrangian formalism applies a nonlinear functional of entropy production that follows from classical (single-phase) nonequilibrium thermodynamics of chemically reacting systems or its extension for multiphase systems involving interface reactions and transports. For a chemical flux, a “law of bending” is found which impli
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Blurock, Edward S. "Reaction: System for Modeling Chemical Reactions." Journal of Chemical Information and Modeling 35, no. 3 (1995): 607–16. http://dx.doi.org/10.1021/ci00025a032.

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Schwaller, Philippe, Benjamin Hoover, Jean-Louis Reymond, Hendrik Strobelt, and Teodoro Laino. "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions." Science Advances 7, no. 15 (2021): eabe4166. http://dx.doi.org/10.1126/sciadv.abe4166.

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Humans use different domain languages to represent, explore, and communicate scientific concepts. During the last few hundred years, chemists compiled the language of chemical synthesis inferring a series of “reaction rules” from knowing how atoms rearrange during a chemical transformation, a process called atom-mapping. Atom-mapping is a laborious experimental task and, when tackled with computational methods, requires continuous annotation of chemical reactions and the extension of logically consistent directives. Here, we demonstrate that Transformer Neural Networks learn atom-mapping infor
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Krupali, Mali1* Ankita Kulkarni2 Rutuja Kokane3 Ankita Matere4 Tushar Bagul5 Vivek Chaudhari6. "Chem Tech: A Techway Towards Learning." International Journal of Pharmaceutical Sciences 3, no. 1 (2025): 204–10. https://doi.org/10.5281/zenodo.14591965.

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Simulating chemical reactions plays a vital role in research, education, and various industries. Conventional laboratory methods for testing these reactions can be both time-consuming and expensive, necessitating specific conditions, chemicals, and safety measures. Virtual chemical simulators, such as Chem Tech, provide students, researchers, and professionals the opportunity to explore reactions immediately without the need for physical materials. ChemTech is an advanced application designed to facilitate the simulation of chemical reactions efficiently. This application aims to enable users
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Kikuchi, Shin, Hiroyuki Ohshima, and Kenro Hashimoto. "ICONE19-43782 Reaction Path Analysis of Sodium-Water Reaction Phenomena in support of Chemical Reaction Model Development." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_304.

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Marris, Emma. "Chemical reaction." Nature 437, no. 7060 (2005): 807–9. http://dx.doi.org/10.1038/437807a.

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Challen, John. "Chemical Reaction." Electric and Hybrid Vehicle Technology International 2021, no. 3 (2021): 46–50. http://dx.doi.org/10.12968/s1467-5560(22)60257-4.

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Wu, Jun-Lin, Zhi-Hui Li, Ao-Ping Peng, Xing-Cai Pi, and Xin-Yu Jiang. "Utility computable modeling of a Boltzmann model equation for bimolecular chemical reactions and numerical application." Physics of Fluids 34, no. 4 (2022): 046111. http://dx.doi.org/10.1063/5.0088440.

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A Boltzmann model equation (kinetic model) involving the chemical reaction of a multicomponent gaseous mixture is derived based on Groppi's work [“A Bhatnagar–Gross–Krook-type approach for chemically reacting gas mixtures,” Phys. Fluids 16, 4273 (2004)], in which the relaxation parameters of elastic collision frequency for rigid elastic spheres are obtained based on the collision term, and the pivotal collision frequency of the chemical reaction is deduced from the chemical reaction rate that is determined by the direct simulation Monte Carlo (DSMC) method. This kinetic model is shown to be co
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Vaishali, Rao*1 &. Viplove Mishra2. "COMPARISON OF THEORETICAL AND EXPERIMENTAL VALUES OF THE KINETICS OF HYDROLYSIS OF ETHYL ACETATE." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [FRTSSDS- June 2018] (June 22, 2018): 374–76. https://doi.org/10.5281/zenodo.1296266.

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The principles of chemical kinetics apply to purely physical processes as well as to chemical reactions. Study of chemical kinetics is concerned with understanding the rates of chemical reactions. It is to be contrasted with thermodynamics, which deals with the direction in which a process occurs but in itself tells nothing about its rate. Present paper reveals the Chemical kinetics, of some chemicals such as ethyl acetate with the help of conductometeric titration. Thermodynamics is time’s arrow, while chemical kinetics is time’s clock. Chemical kinetics relates to many
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Dissertations / Theses on the topic "Chemical reaction"

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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.<br>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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Degrand, Elisabeth. "Evolving Chemical Reaction Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257491.

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One goal of synthetic biology is to implement useful functions with biochemical reactions, either by reprogramming living cells or programming artificial vesicles. In this perspective, we consider Chemical Reaction Networks (CRNs) as a programming language. Recent work has shown that continuous CRNs with their dynamics described by ordinary differential equations are Turing complete. That means that any function over the reals that is computable by a Turing machine in arbitrary precision, can be computed by a CRN over a finite set of molecular species. The proof uses an algorithm which, given
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Knight, Daniel William. "Reactor behavior and its relation to chemical reaction network structure." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1438274630.

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Du, Yimian. "Bifurcation analysis in chemical reaction network." Thesis, Imperial College London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.511282.

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Hayes, Michael Y. "Theoretical studies of chemical reaction dynamics." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3273678.

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Ritchie, Grant A. D. "Laser studies of chemical reaction dynamics." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325785.

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English, Philip J. "Automated discovery of chemical reaction networks." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500929.

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The identification of models of chemical reaction networks is of importance in the safe, economic and environmentally sensitive development of chemical products. Qualitative models of a network of interactions are used in the design of drugs and other therapies. Quantitative models of the behaviour of reaction networks are the foundation of the science of reaction engineering (e.g. see Levenspiel, 1999); allowing the use of simulation software in the rapid development of commercial scale production processes. This work extends the existing methods reported by Burnham et al. (2006); adopting th
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Domijan, Mirela. "Mathematical aspects of chemical reaction networks." Thesis, University of Warwick, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495019.

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Chemical and biological processes present a challenge when it comes to modelling and analysis. The models usually have to take into account many chemicals and complex interactions and in turn, they are often described by large ODE systems with complicated nonlinear terms. If there is a lack of quantitative information about the chemical interactions, there will also be parameter uncertainty in the systems. Such systems present a challenge to analyse. In response, an increasing consensus calls for emphasis on the underlying chemical reaction network structure and the use of network information
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Xu, Jin, and 徐进. "A study of chemical reaction optimization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48199242.

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Complex optimization problems are prevalent in various fields of science and engineering. However, many of them belong to a category of problems called NP- hard (nondeterministic polynomial-time hard). On the other hand, due to the powerful capability in solving a myriad of complex optimization problems, metaheuristic approaches have attracted great attention in recent decades. Chemical Reaction Optimization (CRO) is a recently developed metaheuristic mimicking the interactions of molecules in a chemical reaction. With the flexible structure and excellent characteristics, CRO can explo
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Galagali, Nikhil. "Bayesian inference of chemical reaction networks." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104253.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 189-198).<br>The development of chemical reaction models aids system design and optimization, along with fundamental understanding, in areas including combustion, catalysis, electrochemistry, and biology. A systematic approach to building reaction network models uses available data not only to estimate unknown parameters, but to also learn the model structure. Bayesian inference provides a natural approach for
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Books on the topic "Chemical reaction"

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A, Mashelkar R., Kumar R, and Indian Academy of Sciences, eds. Reactions and reaction engineering. Indian Academy of Sciences, 1987.

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Baxter, Roberta. Chemical reaction. Kidhaven Press, 2005.

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Caroline, Anderson. Chemical Reaction. Harlequin, 2003.

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1931-, Tominaga Hiroo, and Tamaki Masakazu, eds. Chemical reaction and reactor design. J. Wiley, 1997.

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J, Carberry James, and Varma Arvind, eds. Chemical reaction and reactor engineering. M. Dekker, 1987.

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Tapio, Salmi, Mikkola Jyri-Pekka, and Wärnå Johan. Chemical Reaction Engineering and Reactor Technology. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315200118.

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Jyri-Pekka, Mikkola, and Warna P, eds. Chemical reaction engineering and reactor technology. Taylor & Francis, 2009.

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Ancheyta, Jorge. Chemical Reaction Kinetics. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119226666.

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John, Barton, Rogers Richard, and Institution of Chemical Engineers (Great Britain), eds. Chemical reaction hazards: A guide. Institution of Chemical Engineers, 1993.

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

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Book chapters on the topic "Chemical reaction"

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Liu, Zhen. "Chemico: Chemical Reaction." In Multiphysics in Porous Materials. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93028-2_16.

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Tapio, Salmi, Mikkola Jyri-Pekka, and Wärnå Johan. "Chemical Reaction Engineering." In Chemical Reaction Engineering and Reactor Technology. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315200118-11.

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Nilsson, Lars-Olof, Miguel-Ángel Climent, and Oliver Weichold. "Chemical Reaction." In Methods of Measuring Moisture in Building Materials and Structures. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74231-1_6.

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Diersch, Hans-Jörg G. "Chemical Reaction." In FEFLOW. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38739-5_5.

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Herges, Rainer. "Reaction Planning (Computer Aided Reaction Design)." In Chemical Structures. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73975-0_40.

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Himadri, Roy Giratali. "Chemical Kinetics." In Reaction Engineering Principles. CRC Press, 2018. http://dx.doi.org/10.1201/9781315367781-3.

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Schmal, Martin, and José Carlos Pinto. "Chemical equilibrium." In Chemical Reaction Engineering, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9781003046608-2.

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Ramaswamy, Ramakrishna. "Chaos in Chemical Dynamics." In Reaction Dynamics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-09683-3_4.

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Wincek, John C. "Chemical Reaction Safety." In Handbook of Loss Prevention Engineering. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527650644.ch24.

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Carreón-Calderón, Bernardo, Verónica Uribe-Vargas, and Juan Pablo Aguayo. "Chemical Reaction Equilibrium." In Thermophysical Properties of Heavy Petroleum Fluids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58831-1_7.

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Conference papers on the topic "Chemical reaction"

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Sugai, T., S. Ueno, P. N. Thanh, and W. Jiang. "Experimental Study of Chemical Reaction in Water Spray Plasma Reactor." In 2024 IEEE International Conference on Plasma Science (ICOPS). IEEE, 2024. http://dx.doi.org/10.1109/icops58192.2024.10627365.

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Kao, W., J. P. Singh, F. Y. Yueh та R. L. Cook. "Study of the High Temperature Multiplex HCℓ CARS Spectrum". У Laser Applications to Chemical Analysis. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/laca.1992.wc5.

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Coherent Anti-Stokes Raman Spectroscopy (CARS) is a laser based advanced combustion diagnostic technique and is being used to measure the temperature and major species concentration in a turbulent, harsh, high luminescence and reactive combustion environment.1 Recently, it has also been applied to a Coal Fired Flow Facility (CFFF), which is a unique practical combustion environment.2 Only a few CARS applications to chemical reaction have been reported. One of the important chemical reactions is a chlorination reaction. CH4 + Cℓ2 → CH3Cℓ + HCℓ. This is being used to manufacture the halogenated
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Cho, Yong Ju, Naren Ramakrishnan, and Yang Cao. "Reconstructing chemical reaction networks." In the 14th ACM SIGKDD international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401912.

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Cardelli, Luca, Mirco Tribastone, Max Tschaikowski, and Andrea Vandin. "Comparing Chemical Reaction Networks." In LICS '16: 31st Annual ACM/IEEE Symposium on Logic in Computer Science. ACM, 2016. http://dx.doi.org/10.1145/2933575.2935318.

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Zhong, Ming, Siru Ouyang, Minhao Jiang, et al. "ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision." In Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-acl.767.

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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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Kumar, Ashutosh, and Robin Marlar Rajendran. "Expediting Chemical Enhanced Oil Recovery Processes with Prediction of Chemical Reaction Yield Using Machine Learning." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211832-ms.

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Abstract Chemical enhanced oil recovery involves enormous combinations of chemicals, surfactants, etc. The reservoir properties such as temperature, capillary pressure, permeability keeps changing, making the process of identification of suitable chemicals even more challenging. Data driven modelling holds solutions for the complexity involved in identification of most suitable parameters for chemical enhanced oil recovery. Over the last decade, Artificial Intelligence has found its numerous applications in different branches of chemistry. From the selection of chemicals to the operating condi
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Sierra Murillo, Jose Daniel. "Chemical laser based on polyatomic chemical reaction dynamics." In XXIII International Symposium on High Power Laser Systems and Applications, edited by Tomáš Mocek. SPIE, 2022. http://dx.doi.org/10.1117/12.2653041.

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Kamel, John K., and Samuel Paolucci. "Numerical Simulation of a Chemical Vapor Deposition/Infiltration Reactor." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16039.

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A chemical vapor deposition/infiltration reactor used to manufacture carbon aircraft brakes has been simulated numerically. This simulation accounts for a homogeneous gas reaction mechanism as well as a heterogeneous surface reaction mechanism. Non-Boussinesq equations are used to predict fluid flow, heat transfer, and species concentrations inside the reactor and porous brakes. A time-splitting algorithm is used to overcome stiffness associated with the reactions. A commercial code is used to solve for the convection/diffusion step while an implicit time-integration algorithm is used to solve
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Doty, David. "Timing in chemical reaction networks." In Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2013. http://dx.doi.org/10.1137/1.9781611973402.57.

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Reports on the topic "Chemical reaction"

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Aris, R., and R. W. Carr. Continuous chemical reaction chromatography. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7070042.

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Powers, T. B. Chemical reaction in a DCRT. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/663145.

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Evelyn M. Goldfield. Chemical Reaction Dynamics in Nanoscle Environments. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/891931.

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Carr, R. W. Continuous chemical reaction chromatography. Final report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/510307.

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Keshavamurthy, Srihari. Semiclassical methods in chemical reaction dynamics. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/91884.

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Lager, Daniel, Lia Kouchachvili, and Xavier Daguenet. TCM measuring procedures and testing under application conditions. IEA SHC Task 58, 2021. http://dx.doi.org/10.18777/ieashc-task58-2021-0004.

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This Subtask aims to have reliable thermal analysis methods/protocols and procedures for the characterization of aterial and reaction properties for sorption and chemical reactions of thermal energy storage (TES) applications. One goal is an inventory of already standardized measurement procedures for TCM as well as of needed characterization procedures.
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Nelson Butuk. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/902508.

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Nelson Butuk. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/881862.

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Flynn, G. Laser enhanced chemical reaction studies. Technical progress report. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10159752.

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Ziaul Huque. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/947008.

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