Letteratura scientifica selezionata sul tema "Fusion-By-Diffusion"
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Articoli di riviste sul tema "Fusion-By-Diffusion"
CAP, T., K. SIWEK-WILCZYŃSKA e J. WILCZYŃSKI. "FUSION BY DIFFUSION MODEL REVISITED". International Journal of Modern Physics E 20, n. 02 (febbraio 2011): 308–15. http://dx.doi.org/10.1142/s0218301311017661.
Testo completoTiwari, G. P., e R. S. Mehrotra. "Diffusion and Melting". Defect and Diffusion Forum 279 (agosto 2008): 23–37. http://dx.doi.org/10.4028/www.scientific.net/ddf.279.23.
Testo completoLafon, S., Y. Keller e R. R. Coifman. "Data Fusion and Multicue Data Matching by Diffusion Maps". IEEE Transactions on Pattern Analysis and Machine Intelligence 28, n. 11 (novembre 2006): 1784–97. http://dx.doi.org/10.1109/tpami.2006.223.
Testo completoPrasath, V. B. Surya. "Image denoising by anisotropic diffusion with inter-scale information fusion". Pattern Recognition and Image Analysis 27, n. 4 (ottobre 2017): 748–53. http://dx.doi.org/10.1134/s1054661817040174.
Testo completoKnoll, G., K. N. Burger, R. Bron, G. van Meer e A. J. Verkleij. "Fusion of liposomes with the plasma membrane of epithelial cells: fate of incorporated lipids as followed by freeze fracture and autoradiography of plastic sections." Journal of Cell Biology 107, n. 6 (1 dicembre 1988): 2511–21. http://dx.doi.org/10.1083/jcb.107.6.2511.
Testo completoNie, Baohua, Zihua Zhao, Dongchu Chen, Fangjun Liu, Jishi Zhao e Lianyu Zhao. "Very high cycle fatigue behavior of dissimilar martensitic stainless-steel diffusion-bonded joints". Materials Express 9, n. 9 (1 dicembre 2019): 1120–26. http://dx.doi.org/10.1166/mex.2019.1590.
Testo completoWang, Pan-Pan, Ju-Xiang Shao e Qi-Long Cao. "Melting properties of Pt and its transport coefficients in liquid states under high pressures". International Journal of Modern Physics B 30, n. 01 (10 gennaio 2016): 1550250. http://dx.doi.org/10.1142/s0217979215502501.
Testo completoWoronowicz, Kamil, Nataliya Rozenvayn e Robert Flaumenhaft. "Platelet-Platelet Fusion Results from Fusing of Plasma Membranes and Is Augmented by Stimulation through PAR1 or CCR4." Blood 110, n. 11 (16 novembre 2007): 137. http://dx.doi.org/10.1182/blood.v110.11.137.137.
Testo completoZhou, Peilei, Wensheng Wang e Zhe Yu. "Analysis of Interface Fusion Effect between Old and New Asphalt under Plant Mixing and Cold Recycling Mode Based on Molecular Dynamics Simulation". Materials 14, n. 16 (18 agosto 2021): 4637. http://dx.doi.org/10.3390/ma14164637.
Testo completoJi, Jingyu, Yuhua Zhang, Zhilong Lin, Yongke Li, Changlong Wang, Yongjiang Hu e Jiangyi Yao. "Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient Structure". Journal of Sensors 2022 (11 aprile 2022): 1–10. http://dx.doi.org/10.1155/2022/7144991.
Testo completoTesi sul tema "Fusion-By-Diffusion"
Donglo, Hope. "Study οf reactiοn mechanisms fοr the synthesis οf super-heavy elements". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC243.
Testo completoThis thesis investigates the mechanism of synthesising super-heavy elements (SHE) via fusion evaporation reactions. These are nuclei with atomic numbers \(Z \ge 104\) and do not exist in nature due to their vanishing macroscopic fission barriers. They are stabilised by quantum shell correction. The search for new SHE pushes the boundaries of nuclear physics, furthering our understanding of their formation, stability, and structure. However, synthesising SHE is challenging due to decreasing production cross sections as the atomic charge increases, necessitating theoretical simulations to guide experiments and identify optimal reaction conditions.This work focuses on improving the predictive power of the Kewpie2 model, designed for fusion evaporation simulation. Fusion evaporation is modelled as a three-stage process: capture, formation, and survival. While Kewpie2 independently simulates the capture cross section and survival probability, it has relied on external calculations for formation probability. This thesis implements the formation step in the Kewpie2 code for the first time using both the overdamped and full Langevin formalisms. The injection point distance (describing projectile-target nuclei starting configuration) is optimised for cold and hot fusion reaction datasets in both cases. An improved injection point distance parametrisation, consistent with the Langevin formalism, reproduces measured evaporation residue cross sections for hot fusion reactions, typically with accuracy better than an order of magnitude. For cold fusion reactions, multiple neutron emission channels are explained by introducing an additional structural term, achieving good agreement with experimental data. In this case, the 1n channel data are described as having a factor deviation from the experimental data, while the 2n and 3n channels are within an order of magnitude. The thesis also investigates survival probability modelling using the latest data for SHE. Both the formation and survival steps are extensively tested and compared with the Fusion-by-Diffusion (FbD) model for sets of 27 cold and 24 hot fusion reactions.Analysis of the reduced friction coefficients within the overdamped Langevin approach suggests that the dynamic is not fully damped. Therefore, a full one-dimensional Langevin formalism is investigated and implemented in Kewpie2. The formalism is applied to hot fusion reaction data. The fitting coefficients of the model are optimised using a so-called systematic fitting technique, and the results confirm that the dynamic is not fully damped. In this approach, the model predictions are within an order of magnitude deviations from the experimental data. Predictions for the synthesis of elements with atomic numbers ZCN = 119 et 120 align with results from other codes. Additionally, a method for studying ratios of formation probabilities is proposed and discussed for the synthesis of 258No et 259Db..In conclusion, this work significantly enhances Kewpie2, making it a self-contained tool for studying SHE synthesis and guiding future experimental efforts
Libri sul tema "Fusion-By-Diffusion"
Mason, Peggy. Neurotransmitter Release. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0011.
Testo completoCapitoli di libri sul tema "Fusion-By-Diffusion"
Esteves, Paulo, e Stephan Klingebiel. "Diffusion, Fusion, and Confusion: Development Cooperation in a Multiplex World Order". In The Palgrave Handbook of Development Cooperation for Achieving the 2030 Agenda, 185–215. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57938-8_9.
Testo completoFunk, Kellen R. "The Nature of Things". In Law's Machinery, 241–67. Oxford University PressNew York, NY, 2024. http://dx.doi.org/10.1093/9780197543962.003.0012.
Testo completoMittal, Ruchi, e M. P. S. Bhatia. "Classifying the Influential Individuals in Multi-Layer Social Networks". In Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture, 528–40. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6307-9.ch027.
Testo completoEdidin, Michael. "Lateral mobility of membrane proteins-a journey from heterokaryons to laser tweezers". In The Legacy of Cell Fusion, 101–14. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780199636273.003.0007.
Testo completoBrennwald, Patrick, e Joan Adamo. "Polarized exocytosis: targeting vesicles to specific dotnains on the plastna membrane". In Cell Polarity, 269–84. Oxford University PressOxford, 2000. http://dx.doi.org/10.1093/oso/9780199638031.003.0009.
Testo completoDavid, Paul A. "The Reaper and the Robot: The Adoption of Labour-Saving Machinery in the Past and Future". In Landowners, Capitalists, and Entrepreneurs, 275–305. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198283010.003.00012.
Testo completoJiang, Ting, Min Guo, Liu Yang, Zheng Ma e Heng Liu. "Traffic Flow Prediction Based on Decomposed Spatio-Temporal Fusion Graph Convolutional Network". In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240384.
Testo completoKang, Lei, Fei Yang, Kai Wang, Mohamed Ali Souibgui, Lluis Gomez, Alicia Fornés, Ernest Valveny e Dimosthenis Karatzas. "GRIF-DM: Generation of Rich Impression Fonts Using Diffusion Models". In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240492.
Testo completoVisca, E., G. Ceccotti, B. Riccardi e G. Mercurio. "Technologies of joining between ITER reference grade beryllium and copper alloys by diffusion bonding process". In Fusion Technology 1996, 423–26. Elsevier, 1997. http://dx.doi.org/10.1016/b978-0-444-82762-3.50076-8.
Testo completoAtti di convegni sul tema "Fusion-By-Diffusion"
Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou e Zhuowen Tu. "Unsupervised metric fusion by cross diffusion". In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6248029.
Testo completoSeki, Kazuhiko, Tomoaki Yago e Ryuzi Katoh. "Diffusion-limited Geminate Delayed Fluorescence by Singlet Fission and Triplet Fusion". In nanoGe Fall Meeting 2019. València: Fundació Scito, 2019. http://dx.doi.org/10.29363/nanoge.ngfm.2019.020.
Testo completoYang, Fan, Bogdan Matei e Larry S. Davis. "Re-ranking by Multi-feature Fusion with Diffusion for Image Retrieval". In 2015 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2015. http://dx.doi.org/10.1109/wacv.2015.82.
Testo completoSeki, Kazuhiko, Tomoaki Yago e Ryuzi Katoh. "Diffusion-limited Geminate Delayed Fluorescence by Singlet Fission and Triplet Fusion". In nanoGe Fall Meeting 2019. València: Fundació Scito, 2019. http://dx.doi.org/10.29363/nanoge.nfm.2019.020.
Testo completoLi, Bing, Dongdong Ren, Hao Liu, TingHao Yu, Chenglei Peng e Yang Gao. "Incremental Image Generation with Diffusion Models by Label Embedding Initialization and Fusion". In MM '24: The 32nd ACM International Conference on Multimedia, 5–13. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3688859.3690084.
Testo completoFei, Fan, Li He, Levi Kirby e Xuan Song. "Study of Droplet Diffusion in Hydrothermal-Assisted Transient Jet Fusion of Ceramics". In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8423.
Testo completoWashiyama, Kouhei, Noboru Takigawa e Sakir Ayik. "Quantum diffusion approach to the formation of a heavy compound nucleus by heavy-ion fusion reactions". In TOURS SYMPOSIUM ON NUCLEAR PHYSICS VI. AIP, 2007. http://dx.doi.org/10.1063/1.2713546.
Testo completoZhang, Yigong, Shuo Gu, Jian Yang, M. Jose Alvarez e Hui Kong. "Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection". In 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018. http://dx.doi.org/10.1109/ivs.2018.8500401.
Testo completoZuo, Ran, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu e Hongan Wang. "SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models". In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/202.
Testo completoMustari, Asril Pramutadi Andi, e Minoru Takahashi. "Corrosion Properties of Welded Ferritic-Martensitic Steels in Liquid Lead-Bismuth at 600C". In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29927.
Testo completoRapporti di organizzazioni sul tema "Fusion-By-Diffusion"
Heinola, K. Summary Report of the First Research Coordination Meeting on Hydrogen Permeation in Fusion-relevant Materials. IAEA Nuclear Data Section, gennaio 2022. http://dx.doi.org/10.61092/iaea.4e83-3whw.
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