Literatura académica sobre el tema "Crystal size prediction"
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Artículos de revistas sobre el tema "Crystal size prediction"
Zhang, Yongchun y Michael F. Doherty. "Simultaneous prediction of crystal shape and size for solution crystallization". AIChE Journal 50, n.º 9 (2004): 2101–12. http://dx.doi.org/10.1002/aic.10182.
Texto completoСоколовский, А. С., М. Н. Лубов, Н. А. Беседина, Ю. В. Трушин y М. В. Дубина. "Кинетическая модель формирования кристаллов белка в капиллярах методом контрдиффузии". Письма в журнал технической физики 44, n.º 11 (2018): 105. http://dx.doi.org/10.21883/pjtf.2018.11.46203.17068.
Texto completoMahmoud, Hanan Ahmed Hosni. "Transfer Learning in Inorganic Compounds’ Crystal Structure Classification". Crystals 13, n.º 1 (2 de enero de 2023): 87. http://dx.doi.org/10.3390/cryst13010087.
Texto completoHashino, Tempei y Gregory J. Tripoli. "The Spectral Ice Habit Prediction System (SHIPS). Part IV: Box Model Simulations of the Habit-Dependent Aggregation Process". Journal of the Atmospheric Sciences 68, n.º 6 (1 de junio de 2011): 1142–61. http://dx.doi.org/10.1175/2011jas3667.1.
Texto completoChen, Dongju, Shupei Li y Jinwei Fan. "Effect of KDP-Crystal Material Properties on Surface Morphology in Ultra-Precision Fly Cutting". Micromachines 11, n.º 9 (25 de agosto de 2020): 802. http://dx.doi.org/10.3390/mi11090802.
Texto completoDixon, Anthony G. y Robert W. Thompson. "Prediction of the zeolite crystal size distribution in batchwise hydrothermal synthesis". Zeolites 6, n.º 3 (mayo de 1986): 154–60. http://dx.doi.org/10.1016/0144-2449(86)90041-2.
Texto completoArsiccio, Andrea, Antonello A. Barresi y Roberto Pisano. "Prediction of Ice Crystal Size Distribution after Freezing of Pharmaceutical Solutions". Crystal Growth & Design 17, n.º 9 (15 de agosto de 2017): 4573–81. http://dx.doi.org/10.1021/acs.cgd.7b00319.
Texto completoMcDonald, Matthew A., Andreas S. Bommarius, Martha A. Grover y Ronald W. Rousseau. "Direct Observation of Growth Rate Dispersion in the Enzymatic Reactive Crystallization of Ampicillin". Processes 7, n.º 6 (22 de junio de 2019): 390. http://dx.doi.org/10.3390/pr7060390.
Texto completoXia, Deyu, Ning Li, Pengju Ren y Xiaodong Wen. "Prediction Of Material Properties By Neural Network Fusing The Atomic Local Environment And Global Description: Applied To Organic Molecules And Crystals". E3S Web of Conferences 267 (2021): 02059. http://dx.doi.org/10.1051/e3sconf/202126702059.
Texto completoTu, Yuhui, Seán B. Leen y Noel M. Harrison. "A high-fidelity crystal-plasticity finite element methodology for low-cycle fatigue using automatic electron backscatter diffraction scan conversion: Application to hot-rolled cobalt–chromium alloy". Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 235, n.º 8 (11 de mayo de 2021): 1901–24. http://dx.doi.org/10.1177/14644207211010836.
Texto completoTesis sobre el tema "Crystal size prediction"
HARGUINDEGUY, MAITE. "Infrared thermography for freeze-drying applications: from ice crystal size prediction to primary drying process monitoring and design space determination". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2959955.
Texto completoConn, Brian E. "Revealing the Magic in Silver Magic Number Clusters: The Development of Size-Evolutionary Patterns for Monolayer Coated Silver-Thiolate Nanoclusters". University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481294367098454.
Texto completoSkyner, Rachael Elaine. "Hydrate crystal structures, radial distribution functions, and computing solubility". Thesis, University of St Andrews, 2017. http://hdl.handle.net/10023/11746.
Texto completoAfsi, Nawel. "Contrôle des procédés représentés par des équations aux dérivées partielles". Thesis, Lyon, 2020. http://www.theses.fr/2020LYSE1033.
Texto completoThis work aims to control the processes represented by partial differential equations. Two processes were considered. The first process is a batch crystallization process. The aim of the control is to generate a crystal size distribution (CSD) with an appropriate mean size. First, we used a high gain cascade observer to estimate this average size using only the crystallizer temperature and solute concentration. Then, different scenarios were tested to compare the performance of the different structures of the control system without a model. The second process treated is a lactide polymerization process. This reaction is very sensitive to impurities. So, two control strategies were proposed to restore the nominal conditions in case of drift, which are the dynamic optimization and predictive control
Capítulos de libros sobre el tema "Crystal size prediction"
Stephens, Graeme. "Cirrus, Climate, and Global Change". En Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0024.
Texto completoActas de conferencias sobre el tema "Crystal size prediction"
Castelluccio, Gustavo M. y David L. McDowell. "Fatigue Life Prediction of Microstructures". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85710.
Texto completoRuilan Liu y Yang Xu. "Soft sensor based on least square support vector machine with limited memory for crystal particle size prediction in PTA purification process". En 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594479.
Texto completoChen, Hongqiang, Jeffrey W. Kysar, Y. Lawrence Yao y Youneng Wang. "Experimental Characterization and Simulation of Three Dimensional Plastic Deformation Induced by Microscale Laser Shock Peening". En ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59661.
Texto completoWang, Jian y Caizhi Zhou. "A Meso-Scale Fretting Fatigue Simulation Method Based on Submodelling Technique". En ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-68754.
Texto completoOwolabi, Gbadebo M. y David L. McDowell. "Microstructure-Sensitive Fatigue Design for Notched Components". En ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10860.
Texto completoZhao, Xinglong, Joa˜o Quinta da Fonseca, Andrew Sherry y David Lidbury. "Grain-Scale Heterogeneity Effect on Mechanistic Modelling of Cleavage Fracture of a Ferritic RPV Steel Forging Material". En ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61569.
Texto completoZhang, T., G. X. Wang, F. Ladeinde y V. Prasad. "Thermo-Solutal Issues in Very Large Diameter Silicon Crystal Growth". En ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1094.
Texto completoMa, Binjian y Debjyoti Banerjee. "Predicting Particle Size Distribution in Nanofluid Synthesis". En ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-5048.
Texto completoBardetsky, Alexander, Helmi Attia y Mohamed Elbestawi. "A Fracture Mechanics Approach to the Prediction of Tool Wear in Dry High Speed Machining of Aluminum Cast Alloys: Part 1 — Model Development". En ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80620.
Texto completoThomas, Sarah A., Robert S. Hixson, M. Cameron Hawkins y Oliver T. Strand. "Wave speeds in single-crystal and polycrystalline copper". En 2019 15th Hypervelocity Impact Symposium. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/hvis2019-007.
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