Relevant bibliographies by topics / Catalyst optimization

Contents

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

Academic literature on the topic 'Catalyst optimization'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Catalyst optimization"

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Xu, Jun Qiang, Fang Guo, Shu Shu Zou, and Xue Jun Quan. "Optimization of the Catalytic Wet Peroxide Oxidation of Phenol over the Fe/NH4Y Catalyst." Materials Science Forum 694 (July 2011): 640–44. http://dx.doi.org/10.4028/www.scientific.net/msf.694.640.

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The heterogeneous NH4Y zeolite-supported iron catalysts were prepared by incipient wetness impregnation. The catalysis oxidation degradation of phenol was carried over the heterogeneous catalyst in the peroxide catalytic oxidation process. Compared with the homogeneous Fenton process, the Fe/ NH4Y-acid catalyst can effectively degrade contaminants with high catalytic activity and easy catalyst separation from the solution. The phenol removal efficiency could reach 96% in the optimum experimental conditions. These process conditions were as follows: iron content is 5%, reaction time was 60 min,
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Stratton, Rebecca L., Bishal Pokhrel, Bryce Smith, Adeola Adeyemi, Ananta Dhakal, and Hao Shen. "DNA Catalysis: Design, Function, and Optimization." Molecules 29, no. 21 (2024): 5011. http://dx.doi.org/10.3390/molecules29215011.

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Catalytic DNA has gained significant attention in recent decades as a highly efficient and tunable catalyst, thanks to its flexible structures, exceptional specificity, and ease of optimization. Despite being composed of just four monomers, DNA’s complex conformational intricacies enable a wide range of nuanced functions, including scaffolding, electrocatalysis, enantioselectivity, and mechano-electro spin coupling. DNA catalysts, ranging from traditional DNAzymes to innovative DNAzyme hybrids, highlight the remarkable potential of DNA in catalysis. Recent advancements in spectroscopic techniq
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Wang, Ziyun, and P. Hu. "Towards rational catalyst design: a general optimization framework." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374, no. 2061 (2016): 20150078. http://dx.doi.org/10.1098/rsta.2015.0078.

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Rational catalyst design is one of the most fundamental goals in heterogeneous catalysis. Herein, we briefly review our previous design work, and then introduce a general optimization framework, which converts catalyst design into an optimization problem. Furthermore, an example is given using the gradient ascent method to show how this framework can be used for rational catalyst design. This framework may be applied to other design schemes.
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Reuillard, Bertrand, Matías Blanco, Laura Calvillo, et al. "Noncovalent Integration of a Bioinspired Ni Catalyst to Graphene Acid for Reversible Electrocatalytic Hydrogen Oxidation." ACS Appl. Mater. Interfaces 12, no. 5 (2020): 5805–11. https://doi.org/10.1021/acsami.9b18922.

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Efficient heterogeneous catalysis of hydrogen oxidation reaction (HOR) by platinum group metal (PGM)-free catalysts in proton-exchange membrane (PEM) fuel cells represents a significant challenge toward the development of a sustainable hydrogen economy. Here, we show that graphene acid (GA) can be used as an electrode scaffold for the noncovalent immobilization of a bioinspired nickel bis-diphosphine HOR catalyst. The highly functionalized structure of this material and optimization of the electrode-catalyst assembly sets new benchmark electrocatalytic performances for heterogeneous molecular
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Santos, A. Sofia G. G., João Restivo, Carla A. Orge, M. Fernando R. Pereira, and O. Salomé G. P. Soares. "Nitrate Catalytic Reduction over Bimetallic Catalysts: Catalyst Optimization." C 6, no. 4 (2020): 78. http://dx.doi.org/10.3390/c6040078.

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The catalytic removal of nitrate (NO3−) in water using hydrogen as a reducing agent was studied using palladium-copper bimetallic catalysts in different supports. Commercial carbon nanotubes (CNTs), used as received and with different mechanical (CNT (BM 2h)) and chemical modifications (CNT (BM 4h)-N), titanium dioxide (TiO2) and composite materials (TiO2-CNT) were considered as main supports for the metallic phase. Different metal loadings were studied to synthesize an optimized catalyst with high NO3− conversion rate and considerable selectivity for N2 formation. Among all the studied suppor
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Sakharov, Maxim, Kamila Koledina, and Irek Gubaydullin. "Optimal Control of Hydrocarbons’ Hydrogenation with Catalysts." Mathematics 12, no. 22 (2024): 3570. http://dx.doi.org/10.3390/math12223570.

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In this paper, the optimal control problem of hydrocarbons’ hydrogenation was investigated in the presence of two catalysts—Nickel–Kieselguhr and Raney Nickel. This multistage chemical reaction holds significant practical importance, particularly in the production of high-density fuels. The optimal control problem was reformulated as a nonlinear global optimization problem and addressed using a modified Mind Evolutionary Computation algorithm. The proposed modifications include methods designed to ensure solution feasibility and ease of practical implementation. Using the proposed method, the
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Encinar, José María, Juan Félix González, Gloria Martínez, and Sergio Nogales-Delgado. "Use of NaNO3/SiAl as Heterogeneous Catalyst for Fatty Acid Methyl Ester Production from Rapeseed Oil." Catalysts 11, no. 11 (2021): 1405. http://dx.doi.org/10.3390/catal11111405.

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The use of heterogeneous catalysts to produce fatty acid methyl esters (FAME) through transesterification with methanol might contribute to both green chemistry and a circular economy, as the process can be simplified, not requiring additional stages to recover the catalyst once the reaction takes place. For this purpose, different catalysts are used, including a wide range of possibilities. In this research the use of NaNO3/SiAl as a heterogeneous catalyst for FAME production through transesterification of rapeseed oil with methanol is considered. A thorough characterization of the catalyst (
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Rinehart, N. Ian, Andrew F. Zahrt, and Scott E. Denmark. "Leveraging Machine Learning for Enantioselective Catalysis: From Dream to Reality." CHIMIA International Journal for Chemistry 75, no. 7 (2021): 592–97. http://dx.doi.org/10.2533/chimia.2021.592.

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Catalyst optimization for enantioselective transformations has traditionally relied on empirical evaluation of catalyst properties. Although this approach has been successful in the past it is intrinsically limited and inefficient. To address this problem, our laboratory has developed a fully informatics guided workflow to leverage the power of artificial intelligence (AI) and machine learning (ML) to accelerate the discovery and optimization of any class of catalyst for any transformation. This approach is mechanistically agnostic, but also serves as a discovery platform to identify high perf
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Mustapha, Aliru Olajide, Kamarudeen Akanji, Adebola Akala, et al. "Castor (Ricinus communis) and Sesame (Sesamum indicum) Biodiesel Optimization by Alkaline Na+/K+ Catalytic Conversion." Al-Qadisiyah Journal Of Pure Science 27, no. 1 (2022): 1–16. http://dx.doi.org/10.29350/qjps.2022.27.1.1471.

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For the optimization of refined castor biodiesel (RCB) and refined sesame biodiesel (RSB), the impacts of specified conditions such as catalysts (NaOH and KOH), catalyst concentration (0.3–1.5), speed (500–750 rpm), and time (20–60 min) were investigated. The physicochemical properties of the RCB and RSB were measured using the American Standard for Testing Materials (ASTM) approved protocols for acid, peroxide, iodine, and saponification; density, kinematic viscosity, and refractive index values. Box–Behnken Design's Response Surface Methodology (RSM) was used for optimization. The results fo
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Duana, C. M., H. Primadona, Agustria, et al. "Optimization Of Lifetime LTS Catalyst Ammonia Plant PT. Pupuk Iskandar Muda." IOP Conference Series: Earth and Environmental Science 1414, no. 1 (2024): 012043. https://doi.org/10.1088/1755-1315/1414/1/012043.

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Abstract PT Pupuk Iskandar Muda, a company operating in the fertilizer sector, produces waste in its production process, so a waste reduction program is needed. The Low-Temperature Shift Converter (LTS) catalyst used in the fertilizer production process at the Ammonia Factory produces catalyst waste classified as hazardous and toxic. Each LTS catalyst has a lifespan of four years before requiring replacement with a new catalyst. Regular replacement of LTS catalysts leads to a substantial hazardous waste generation of 22.25 tons per year, necessitating special handling to prevent environmental
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Dissertations / Theses on the topic "Catalyst optimization"

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Nguyen, Joseph Vu. "Design, synthesis, and optimization of recoverable and recyclable silica-immobilized atom transfer radical polymerization catalysts." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6860.

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Despite the growing interest in heterogeneous polymerization catalysis, the majority of the polymerization catalysts used industrially are single-use entities that are left in the polymer product. Recoverable and recyclable polymerization catalysts have not reached the industrial utility of single-use catalysts because the catalyst and product separation have not become economical. The successful development of recyclable transition metal polymerization catalysts must take a rational design approach, hence academic and industrial researchers need to further expand the fundamental science and
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Bode, Kirstin S. "OPTIMIZATION OF IRIDIUM AND RUTHENIUM CATALYSTS IN THE C-H OXIDATION OF ALKANES." Kent State University Honors College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620909877637546.

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Løvik, Ingvild. "Modelling, estimation and optimization of the methanol synthesis with catalyst deactivation." Doctoral thesis, Norwegian University of Science and Technology, Department of Chemical Engineering, 2001. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1175.

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<p>This thesis studies dynamic modelling, estimation and optimization of the methanol synthesis with catalyst deactivation. Conversion of natural gas is of special interest in Norway for both economic and political reasons. In June 1997 Statoil opened a methanol plant at Tjeldbergodden. It is among the largest in the word with a capacity of 830 000 metric tons per year, which equals 1/4 of Europe's capacity. Methanol is today mainly used as a building block to produce chemical intermediates, and it is also a promising fuel for fuel cells.</p><p>The overall theme for this thesis is to find the
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Batalha, Nuno Miguel Rocha. "Optimization of the balance between activity and selectivity on a hydroisomerization catalyst." Thesis, Poitiers, 2012. http://www.theses.fr/2012POIT2268/document.

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Un des principaux défis lors de l'élaboration des catalyseurs adéquats pour le procédé de déparaffinage catalytique (hydroisomérisation) est de maximiser le rendement en isomères et l'activité du catalyseur, tout en maintenant une faible sélectivité en produits de craquage. En effet, des catalyseurs avec sélectivité de forme à base de zéolithes à taille de pore intermédiaire, par exemple Pt/ZSM-22, sont sélectives en isomères, tandis que les zéolithes à large pore sont plus actifs, mais moins sélectif. L'objectif principal de cette thèse était, alors, d’étudier et de développer un catalyseur à
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Modutwane, Angel Tumelo. "The optimization of the ZSM-5 catalyst activity with respect to crystallinity." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/6697.

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In the synthesis of zeolites optimization of factors such as crystallinity, which encapsulates morphology, and acidity can result in optimal activity. Optimal activity is vital in chemical industries due to the fact that it results in higher yields, better selectivities and lower operational costs. In this project the effect of crystallinity on activity is investigated to get a better understanding of performance in terms of activity of amorphous, partially crystalline and highly crystalline materials using isomerisation of para-xylene as the probe reaction.
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Bloh, Jonathan Zacharias [Verfasser]. "Optimization of Photocatalytic Processes: Catalyst Design, Kinetics and Reaction Engineering / Jonathan Zacharias Bloh." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2021. http://d-nb.info/1238221815/34.

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SAPIO, FRANCESCO. "Diesel After-Treatment Systems Modeling Optimization Techniques." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842513.

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Rico, Pérez Verónica. "Optimization of N2O decomposition RhOx/ceria catalysts and design of a high N2-selective deNOx system for diesel vehicles." Doctoral thesis, Universidad de Alicante, 2013. http://hdl.handle.net/10045/35739.

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Moazami, Nima. "Development of kinetics, mathematical model and optimization of Fischer-Tropsch synthesis on cobalt-based catalyst." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6524/.

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The aim of this thesis is to develop a comprehensive mathematical model with detailed kinetics of Fischer-Tropsch (FT) and water gas shift reactions (WGS) to predict the results obtained from experimental study of cobalt-based FT synthesis conducted in a fixed-bed reactor. The kinetics’ parameters were evaluated for developed kinetics’ models, using an advanced optimization technique. Physical and statistical consistencies of the kinetics’ parameters were evaluated by various statistical methods. The developed model based on combination of alkyl/alkenyl mechanism (for production of n-paraffins
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Fránek, Jan. "Optimalizace výroby vybrané léčivé substance." Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2011. http://www.nusl.cz/ntk/nusl-216771.

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Mgr. Jan Fránek 2011: The optimization the production of selected medicinal substances The diploma thesis dealt with optimization of production of fingolimod by hydrogenation. During the optimization of production, there was reduction of benzylic hydroxygroup and nitrogroup of nitrofingotriol. Reduction of two different groups caused dividing process of hydrogenation into two phases. The original intention was to optimize production only in the autoclave, but the need of using acidic catalytical medium in first phase led to dividing the production into reduction in the reactor and following ca
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Books on the topic "Catalyst optimization"

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1946-, Elshishini S. S., ed. Modelling, simulation, and optimization of industrial fixed bed catalytic reactors. Gordon and Breach Science Publishers, 1993.

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A, Potyrailo Radislav, and Maier Wilhelm F, eds. Combinatorial and high-throughput discovery and optimization of catalysts and materials. CRC Taylor & Francis, 2007.

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Nauman, E. B. Chemical reactor design, optimization, and scaleup. 2nd ed. Wiley, 2008.

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Halhouli, Mohammad. Study and optimization of the morphological characteristics of nanostructures for heterogeneous catalysis applications: Theoretical study. Universität, 2017.

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Potyrailo, Radislav A., and Wilhelm F. Maier. Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials. Taylor & Francis Group, 2019.

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Potyrailo, Radislav A., and Wilhelm F. Maier. Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials. Taylor & Francis Group, 2006.

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Potyrailo, Radislav A., and Wilhelm F. Maier. Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials. Taylor & Francis Group, 2006.

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Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials (Critical Reviews in Combinatorial Chemistry). CRC, 2006.

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Potyrailo, Radislav A., Wilhelm Maier, and Wilhelm F. Maier. Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials. Critical Reviews in Combinational Chemistry. Taylor & Francis Group, 2010.

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Book chapters on the topic "Catalyst optimization"

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Ivanova, Anastasiya, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander Gasnikov, and Vladislav Matyukhin. "Adaptive Catalyst for Smooth Convex Optimization." In Optimization and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91059-4_2.

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van Veen, André C., Yirk Schuurman, and Claude Mirodatos. "Catalyst Development, Screening and Optimization." In Micro Process Engineering. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527631445.ch48.

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Elnashaie, S. S. E. H., and S. S. Elshishini. "The Catalyst Deactivation Problem." In Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors. Routledge, 2022. http://dx.doi.org/10.1201/9780203746769-8.

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Fliess, K., and A. Jain. "Information Technology, a Catalyst for Process Optimization." In IFIP Advances in Information and Communication Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34904-6_2.

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Rieckmann, Christina, and Frerich J. Keil. "Optimization of Three-Dimensional Catalyst Pore Structures." In Scientific Computing in Chemical Engineering. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80149-5_23.

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Pasechnyuk, Dmitry, and Vladislav Matyukhin. "On the Computational Efficiency of Catalyst Accelerated Coordinate Descent." In Mathematical Optimization Theory and Operations Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77876-7_12.

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Ma, ZhanHua, Jun Li, XueNuan Liu, and LanYi Sun. "Optimization of Support Pretreatment for Rh/AC Catalyst." In Advances in Computer Science, Intelligent System and Environment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23753-9_35.

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Chetia, Bidisha, and Sumita Debbarma. "Optimisation of Biodiesel Production Using Heterogeneous Catalyst from Palm Oil by Taguchi Method." In Modeling, Simulation and Optimization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6866-4_7.

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Buisson, A., F. Morel, and J. P. Peries. "Petroleum Residue Hydrotreatment: Suspended Catalyst Separation and Recycling Processes Using Membranes." In Optimization of the Production and Utilization of Hydrocarbons. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2256-6_42.

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Wang, Shuyi, Weize Zhang, Ziqi Zhong, Yongtao Li, and Zhongyuan Peng. "Establishment and Application of Catalyst Optimization Model Based on Genetic Algorithm." In Intelligent Systems and Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2891-6_11.

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Conference papers on the topic "Catalyst optimization"

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Shafiee, Parisa, Mitra Jafari, Julia Schowarte, Bogdan Dorneanu, and Harvey Arellano-Garcia. "Streamlining Catalyst Development through Machine Learning: Insights from Heterogeneous Catalysis and Photocatalysis." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.135551.

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Catalysis design and reaction condition optimization are considered the heart of many chemical and petrochemical processes and industries; however, there are still significant challenges in these fields. Advances in machine learning (ML) have provided researchers with new tools to address some of these obstacles, offering the ability to predict catalyst behaviour, optimal reaction conditions, and product distributions without the need for extensive laboratory experimentation. In this contribution, the potential applications of ML in heterogeneous catalysis and photocatalysis are explored by an
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Peña, Begoña, Manuel Bailera, Jorge Legaz, et al. "DEVELOPMENT, TESTING, PERFORMANCE ANALYSIS AND MODELLING OF A BIOCHAR-BASED CATALYST FOR METHANATION REACTION." In 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024). ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0199.

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Manaenkov, Oleg, Olga Kislitsa, Antonina Stepacheva, Linda Nikoshvili, and Valentina Matveeva. "OPTIMIZATION OF PROCESS CONDITIONS FOR THE CATALYTIC CONVERSION OF MICROCRYSTALLINE CELLULOSE INTO SUGAR ALCOHOLS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/4.1/s17.21.

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The scale of annual reproduction of cellulose-containing biomass in nature allows us to draw an unambiguous conclusion that cellulose is the only source of raw materials for the chemical and fuel industries, representing a real alternative to fossil resources and, first of all, oil. Cellulose is the main component of plant biomass. According to some estimates, almost half of the organic carbon in the biosphere is contained in cellulose. Hydrolytic hydrogenation is a special case of carbohydrate hydrogenation. With regard to cellulose, the essence of the process is to combine the processes of i
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Zhang, Aihua. "EXPERIMENTAL STUDY ON THE APPLICATION OF MACHINE LEARNING METHOD IN CATALYTIC MATERIALS." In Topics In Chemical & Material Engineering (TCME). Volkson Press, 2023. http://dx.doi.org/10.26480/smmp.01.2023.24.27.

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Machine learning has emerged as a powerful tool for analyzing complex data sets and making predictions in a wide range of applications, including catalysis. Bycombining statistical methods, algorithms, and computational power, machine learning can help identify patterns and relationships in catalytic systems that are difficult or impossible to discern using traditional approaches. This can lead to more efficient and effective catalyst design, optimization, and prediction of catalytic activity. Machine learning has already been successfully applied to various aspects of catalysis, including cat
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Hellman, Anders. "Catalyst Optimization for Glycerol Dehydrogenation." In Materials for Sustainable Development Conference (MATSUS Fall 24). FUNDACIO DE LA COMUNITAT VALENCIANA SCITO, 2024. https://doi.org/10.29363/nanoge.matsusfall.2024.135.

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Chen, Ming, and Karen Schirmer. "A Modelling Approach to the Design Optimization of Catalytic Converters of I.C. Engines." In ASME 2003 Internal Combustion Engine and Rail Transportation Divisions Fall Technical Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/icef2003-0729.

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In this paper, a modelling approach to the design optimization of catalytic converters is presented. The first step of the optimization is the model-assisted sizing of catalysts. For a given inlet exhaust condition, a semi-empirical, experimentally calibrated, 0-D steady state catalyst model is employed to sort through a data base of catalysts under given restraints, yielding few successful candidates. Following this screening process, a 1-D transient plug-flow catalyst model is used to analyze the species concentrations and the temperature variation across the catalyst. The second step deals
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Marr, Curtis, and Xianguo Li. "Composition and Performance Optimization of Catalyst Layer in a Proton Exchange Membrane Fuel Cell." In ASME 1997 Turbo Asia Conference. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-aa-075.

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The composition and performance optimisation of cathode catalyst platinum and catalyst layer structure in a proton exchange membrane fuel cell has been investigated by including both electrochemical reaction and mass transport process. It is found that electrochemical reactions occur in a thin layer within a few micrometers thick, indicating ineffective catalyst utilization for the present catalyst layer design. The effective use of platinum catalyst decreases with increasing current density, hence lower loadings of platinum are feasible for higher current densities of practical interest witho
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Kulić Mandić, Aleksandra, Milena Bečelić-Tomin, Đurđa Kerkez, Gordana Pucar Milidrag, Vesna Pešić, and Miljana Prica. "A mini review: Optimal dye removal by fenton process catalysed with waste materials." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p21.

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Large quantities of solid waste from different industries are commonly disposed in landfills, where can generate wide range of environmental problems. Therefore, the aim of this paper is to give insight on the usage of various waste materials as oxidation catalysts in different Fenton processes for dye removal. In that manner the circular value chain of these materials will be reinforced, obtaining disposal cost reduction and further value addition. Some of industrial wastes (fly ash, electric arc furnace dust, red mud, coal bottom ash, activated carbon from biomass, etc.) that have been used
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Raoufi, Arman, Sagar Kapadia, and James C. Newman. "Sensitivity Analysis and Computational Optimization of Fuel Reformer." In ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2016 Power Conference and the ASME 2016 10th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fuelcell2016-59110.

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In this study, the catalytic combustion of methane is numerically investigated using an unstructured, implicit, fully coupled finite volume approach. Nonlinear system of equations is solved by Newton’s method. The catalytic partial oxidation of methane over both platinum and rhodium catalysts are studied three-dimensionally. Eight gas-phase species (CH4, CO2, H2O, N2, O2, CO, OH and H2) are considered for the simulation. Surface chemistry is modeled by detailed reaction mechanisms including 24 heterogeneous reactions with 11 surface-adsorbed species for Pt catalyst and 38 heterogeneous reactio
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Koltsakis, G. C., C. K. Dardiotis, Z. C. Samaras, T. Maunula, T. Kinnunen, and P. Lundorf. "Optimization Methodologies for DPF Substrate-catalyst Combinations." In SAE World Congress & Exhibition. SAE International, 2009. http://dx.doi.org/10.4271/2009-01-0291.

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Reports on the topic "Catalyst optimization"

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Senum, G. I., E. A. Cote, T. W. D'Ottavio, and R. N. Dietz. Hydrocarbon precombusting catalyst survey and optimization for perfluorocarbon tracer analysis in subsurface tracer applications. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6086672.

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Resasco, Daniel E., and Miguel Bagajewicz. Novel catalyst development and process optimization for CO{sub 2} reforming of CH{sub 4}. Progress report for the period March 1, 1999 - December 31, 1999. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/804531.

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Rahai, Hamid, Rylan Moffit, Komal Gada, and Jeremy Bonifacio. An Ambient NOx Reduction Reactor System with and without Forced Air. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2442.

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Ambient nitrogen oxide (NOX) is one of the main ingredients involved in the formation of ground-level ozone (smog), which contributes to global warming and the formation of particulates in the atmosphere and causes respiratory illnesses, especially in children, older adults, and people with lung diseases. Investigations on adding titanium dioxide (TiO2) nanoparticles to the paint used on concrete surfaces such as buildings and its potential in reducing ambient NOX concentration have provided opportunities for the research and development of methods for passive control and filtration of the amb
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Gomez-Bombarelli, Rafael. Global optimization of multicomponent oxide catalysts for OER/ORR. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2352284.

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Gerber, Mark A., Michel J. Gray, Karl O. Albrecht, and Becky L. Thompson. Optimization of Rhodium-Based Catalysts for Mixed Alcohol Synthesis ? 2012 Progress Report. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1110484.

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Gerber, Mark A., Michel J. Gray, Karl O. Albrecht, and Becky L. Rummel. Optimization of Rhodium-Based Catalysts for Mixed Alcohol Synthesis -- 2011 Progress Report. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1089617.

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Gerber, Mark A., Michel J. Gray, Karl O. Albrecht, J. F. White, Becky L. Rummel, and Don J. Stevens. Optimization of Rhodium-Based Catalysts for Mixed Alcohol Synthesis -- 2010 Progress Report. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1089618.

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Gerber, Mark A., Michel J. Gray, Don J. Stevens, J. F. White, and Becky L. Rummel. Optimization of Rhodium-Based Catalysts for Mixed Alcohol Synthesis -- 2009 Progress Report. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1013309.

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Kolodziejczyk, Bart. Emergence of Quantum Computing Technologies in Automotive Applications: Opportunities and Future Use Cases. SAE International, 2024. http://dx.doi.org/10.4271/epr2024008.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Quantum computing and its applications are emerging rapidly, driving excitement and extensive interest across all industry sectors, from finance to pharmaceuticals. The automotive industry is no different. Quantum computing can bring significant advantages to the way we commute, whether through the development of new materials and catalysts using quantum chemistry or improved route optimization. Quantum computing may be as important as the invention of driverless vehicles.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt
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Harold, Michael. DESIGN AND OPTIMIZATION OF STRUCTURED MULTI-FUNCTIONAL TRAPPING CATALYSTS FOR CONVERSION OF HYDROCARBONS AND NOX FROM DIESEL AND ADVANCED COMBUSTION. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1870162.

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