Literatura académica sobre el tema "Mechanistic Computational Model"
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Artículos de revistas sobre el tema "Mechanistic Computational Model"
Martina Perez, Simon, Heba Sailem y Ruth E. Baker. "Efficient Bayesian inference for mechanistic modelling with high-throughput data". PLOS Computational Biology 18, n.º 6 (21 de junio de 2022): e1010191. http://dx.doi.org/10.1371/journal.pcbi.1010191.
Texto completoHearle, J. W. S. y A. H. Wilkins. "Mechanistic modelling of pilling. Part II: Individual-fibre computational model". Journal of the Textile Institute 97, n.º 4 (julio de 2006): 369–76. http://dx.doi.org/10.1533/joti.2005.0164.
Texto completoZabihi, Azam, John Tello, Sebastien Incerti, Ziad Francis, Ghasem Forozani, Farid Semsarha, Amir Moslehi y Mario A. Bernal. "Determination of fast neutron RBE using a fully mechanistic computational model". Applied Radiation and Isotopes 156 (febrero de 2020): 108952. http://dx.doi.org/10.1016/j.apradiso.2019.108952.
Texto completoKraikivski, Pavel. "A Dynamic Mechanistic Model of Perceptual Binding". Mathematics 10, n.º 7 (1 de abril de 2022): 1135. http://dx.doi.org/10.3390/math10071135.
Texto completoDas, Shubhajit y Swapan K. Pati. "Unravelling the mechanism of tin-based frustrated Lewis pair catalysed hydrogenation of carbonyl compounds". Catalysis Science & Technology 8, n.º 20 (2018): 5178–89. http://dx.doi.org/10.1039/c8cy01227j.
Texto completoZhao, Chen, Adam C. Mirando, Richard J. Sové, Thalyta X. Medeiros, Brian H. Annex y Aleksander S. Popel. "A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology". PLOS Computational Biology 15, n.º 11 (18 de noviembre de 2019): e1007468. http://dx.doi.org/10.1371/journal.pcbi.1007468.
Texto completoWright, A. Armean, Ghassan N. Fayad, James F. Selgrade y Mette S. Olufsen. "Mechanistic model of hormonal contraception". PLOS Computational Biology 16, n.º 6 (29 de junio de 2020): e1007848. http://dx.doi.org/10.1371/journal.pcbi.1007848.
Texto completoSharifi, Soroosh y Arash Massoudieh. "A novel hybrid mechanistic-data-driven model identification framework using NSGA-II". Journal of Hydroinformatics 14, n.º 3 (6 de marzo de 2012): 697–715. http://dx.doi.org/10.2166/hydro.2012.026.
Texto completoRamatsoma, Mafeni S. y Evans M. N. Chirwa. "Computational simulation of flocculent sedimentation based on experimental results". Water Science and Technology 65, n.º 6 (1 de marzo de 2012): 1007–13. http://dx.doi.org/10.2166/wst.2012.923.
Texto completoPeterson, D. E., R. V. Lalla, R. Srivastava y L. M. Loew. "Mucositis in cancer patients: Prototypic semi-mechanistic kinetic model". Journal of Clinical Oncology 25, n.º 18_suppl (20 de junio de 2007): 19617. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.19617.
Texto completoTesis sobre el tema "Mechanistic Computational Model"
(8098121), Akshay Parag Biniwale. "Mechanistic Analysis of Sodiation in Electrodes". Thesis, 2019.
Buscar texto completoThe single particle model was extended to include electrode and particle volume expansion effects observed in high capacity alloying electrodes. The model was used to predict voltage profiles in sodium ion batteries with tin and tin-phosphide negative electrodes. It was seen that the profiles predicted by the modified model were significantly better than the classical model. A parametric study was done to understand the impact of properties such as particle radius, diffusivity, reaction rate etc on the performance of the electrode. The model was also modified for incorporating particles having a cylindrical morphology. For the same material properties, it was seen that cylindrical particles outperform spherical particles for large L/R values in the cylinder due to the diffusion limitations at low L/R ratios. A lattice spring-based degradation model was used to observe crack formation and creep relaxation within the particle. It was observed that the fraction of broken bonds increases with an increase in strain rate. At low strain rates, it was seen that there was a significant expansion in particle volumes due to creep deformation. This expansion helped release particle stresses subsequently reducing the amount of fracture.
Yeh, Chung-Heng. "Mechanistic Models of Neural Computation in the Fruit Fly Brain". Thesis, 2019. https://doi.org/10.7916/d8-fp7c-a661.
Texto completoLibros sobre el tema "Mechanistic Computational Model"
Yeh, Chung-Heng. Mechanistic Models of Neural Computation in the Fruit Fly Brain. [New York, N.Y.?]: [publisher not identified], 2019.
Buscar texto completoNarancic, Sanja. Mechanistic studies of organometallic complexes: Part I : Development of a new model for ligand binding energy determinations : Computational study of the conversion of rhenium diolates to metallaoxetanes and carbenes. 2007.
Buscar texto completoPiccinini, Gualtiero. Computationalism. Editado por Eric Margolis, Richard Samuels y Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0010.
Texto completoAl-Safran, Eissa M. y James P. Brill. Applied Multiphase Flow in Pipes and Flow Assurance: Oil and Gas Production. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/9781613994924.
Texto completoCapítulos de libros sobre el tema "Mechanistic Computational Model"
Brito, Adriana, Nelson MacQuhae, Francisco García, Nelson Fernández y José Colmenares. "Mechanistic Model for Eccentric Annular Gas-Liquid Flow in Horizontal Pipelines". En Computational and Experimental Fluid Mechanics with Applications to Physics, Engineering and the Environment, 431–41. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00191-3_29.
Texto completoAntonietti, Alberto, Claudia Casellato, Egidio D’Angelo y Alessandra Pedrocchi. "Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout". En Lecture Notes in Computer Science, 35–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_3.
Texto completoGoldsmith, Michael R., Shane D. Peterson, Daniel T. Chang, Thomas R. Transue, Rogelio Tornero-Velez, Yu-Mei Tan y Curtis C. Dary. "Informing Mechanistic Toxicology with Computational Molecular Models". En Methods in Molecular Biology, 139–65. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-050-2_7.
Texto completoSbalzarini, Ivo F. y Urs F. Greber. "How Computational Models Enable Mechanistic Insights into Virus Infection". En Methods in Molecular Biology, 609–31. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8678-1_30.
Texto completoLecca, Paola y Michela Lecca. "Mechanistic Models of Astrocytic Glucose Metabolism Calibrated on PET Images". En Lecture Notes in Computational Vision and Biomechanics, 131–55. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5890-2_6.
Texto completoAxenie, Cristian y Daria Kurz. "CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer". En Mathematical and Computational Oncology, 13–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64511-3_2.
Texto completoLewis, Joanna y Joseph F. Standing. "Mechanistic Models of CD4 T Cell Homeostasis and Reconstitution in Health and Disease". En Mathematical, Computational and Experimental T Cell Immunology, 65–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57204-4_4.
Texto completoAzhar, Nabil, Qi Mi, Cordelia Ziraldo, Marius Buliga, Gregory M. Constantine y Yoram Vodovotz. "Integrating Data-Driven and Mechanistic Models of the Inflammatory Response in Sepsis and Trauma". En Complex Systems and Computational Biology Approaches to Acute Inflammation, 143–57. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8008-2_8.
Texto completoVodovotz, Yoram. "Integrating Data-Driven and Mechanistic Models of the Inflammatory Response in Sepsis and Trauma". En Complex Systems and Computational Biology Approaches to Acute Inflammation, 53–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56510-7_4.
Texto completoMahanama, Thilini V., Arpan Biswas y Dong Wang. "Optimize and Strengthen Machine Learning Models Based on in Vitro Assays with Mechanistic Knowledge and Real-World Data". En Machine Learning and Deep Learning in Computational Toxicology, 183–98. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20730-3_7.
Texto completoActas de conferencias sobre el tema "Mechanistic Computational Model"
Kim, Yong-Soo y Chan-Bok Lee. "Mechanistic Two Stage Fission Gas Release Model". En 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22635.
Texto completoMbuguiro, Wangui y Feilim Mac Gabhann. "Mechanistic model demonstrates importance of autocrine IL-8 secretion by neutrophils". En BCB '21: 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3459930.3469500.
Texto completoNeto, E. T. "A Mechanistic Computational Fluid Dynamic CFD Model to Predict Hydrate Formation in Offshore Pipelines". En SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/184491-stu.
Texto completoAlmajid, Muhammad Majid, Zuhair A. AlYousef y Othman S. Swaie. "Local Equilibrium Mechanistic Simulation of CO2-Foam Flooding". En SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203922-ms.
Texto completoGallaway, Tara, Steven P. Antal y Michael Z. Podowski. "Multidimensional Model of Fluid Flow and Heat Transfer in Generation-IV Supercritical Water Reactors". En 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89897.
Texto completoLorenzo, Guillermo, Thomas J. Hughes, Alessandro Reali, Hector Gomez y Thomas E. Yankeelov. "Abstract 5483: An image-based mechanistic computational model for early prediction of organ-confined untreated prostate cancer growth". En Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-5483.
Texto completoMa, Chenhui, Alexandru Almasan y Evren Gurkan-Cavusoglu. "Abstract 225: Computational analysis of 5-fluorouracil antitumor activity in colon cancer using a mechanistic pharmacokinetic/pharmacodynamic model". En Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-225.
Texto completoKamhawi, Khalid, Yabin Zhao y Liam Finch. "A Multiscale Mechanistic Model for Slow Transient Two-Phase Gas Condensate Flows in Pipelines". En ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42040.
Texto completoGuillen, Donna Post, Jonathan K. Shelley, Steven P. Antal, Elena A. Tselishcheva, Michael Z. Podowski, Dirk Lucas y Matthias Beyer. "Optimization of a Two-Fluid Hydrodynamic Model of Churn-Turbulent Flows". En 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75113.
Texto completoBerg, Lawrence D., Soroor Karimi y Siamack A. Shirazi. "Application of a Mechanistic Erosion and Abrasion Model to Pulverized Coal (PC) Injections". En ASME 2021 Power Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/power2021-63620.
Texto completoInformes sobre el tema "Mechanistic Computational Model"
COLD FORMED STEEL SHEAR WALL RACKING ANALYSIS THROUGH A MECHANISTIC APPROACH: CFS-RAMA. The Hong Kong Institute of Steel Construction, septiembre de 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.2.
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