Статті в журналах з теми "Multifidelity models"
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Molléro, Roch, Xavier Pennec, Hervé Delingette, Alan Garny, Nicholas Ayache, and Maxime Sermesant. "Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models." Biomechanics and Modeling in Mechanobiology 17, no. 1 (September 11, 2017): 285–300. http://dx.doi.org/10.1007/s10237-017-0960-0.
Jacobs, Ryan, Philip E. Goins, and Dane Morgan. "Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap." Machine Learning: Science and Technology 4, no. 4 (December 1, 2023): 045060. http://dx.doi.org/10.1088/2632-2153/ad1627.
Narayan, Akil, Claude Gittelson, and Dongbin Xiu. "A Stochastic Collocation Algorithm with Multifidelity Models." SIAM Journal on Scientific Computing 36, no. 2 (January 2014): A495—A521. http://dx.doi.org/10.1137/130929461.
Peng, Yijie, Jie Xu, Loo Hay Lee, Jianqiang Hu, and Chun-Hung Chen. "Efficient Simulation Sampling Allocation Using Multifidelity Models." IEEE Transactions on Automatic Control 64, no. 8 (August 2019): 3156–69. http://dx.doi.org/10.1109/tac.2018.2886165.
Jasa, John, Pietro Bortolotti, Daniel Zalkind, and Garrett Barter. "Effectively using multifidelity optimization for wind turbine design." Wind Energy Science 7, no. 3 (May 11, 2022): 991–1006. http://dx.doi.org/10.5194/wes-7-991-2022.
Rumpfkeil, Markus P., and Philip Beran. "Construction of Dynamic Multifidelity Locally Optimized Surrogate Models." AIAA Journal 55, no. 9 (September 2017): 3169–79. http://dx.doi.org/10.2514/1.j055834.
Zhu, Xueyu, Akil Narayan, and Dongbin Xiu. "Computational Aspects of Stochastic Collocation with Multifidelity Models." SIAM/ASA Journal on Uncertainty Quantification 2, no. 1 (January 2014): 444–63. http://dx.doi.org/10.1137/130949154.
Keshavarzzadeh, Vahid, Robert M. Kirby, and Akil Narayan. "Convergence Acceleration for Time-Dependent Parametric Multifidelity Models." SIAM Journal on Numerical Analysis 57, no. 3 (January 2019): 1344–68. http://dx.doi.org/10.1137/18m1170339.
Howard, Amanda, Yucheng Fu, and Panos Stinis. "A multifidelity approach to continual learning for physical systems." Machine Learning: Science and Technology 5, no. 2 (May 16, 2024): 025042. http://dx.doi.org/10.1088/2632-2153/ad45b2.
Pienaar, Elsje. "Multifidelity Analysis for Predicting Rare Events in Stochastic Computational Models of Complex Biological Systems." Biomedical Engineering and Computational Biology 9 (January 2018): 117959721879025. http://dx.doi.org/10.1177/1179597218790253.
Ahmed, Shady E., Omer San, Kursat Kara, Rami Younis, and Adil Rasheed. "Multifidelity computing for coupling full and reduced order models." PLOS ONE 16, no. 2 (February 11, 2021): e0246092. http://dx.doi.org/10.1371/journal.pone.0246092.
Dhulipala, Somayajulu L. N., Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields, Andrew E. Slaughter, Zachary M. Prince, Vincent M. Labouré, Chandrakanth Bolisetti, and Promit Chakroborty. "Accelerated statistical failure analysis of multifidelity TRISO fuel models." Journal of Nuclear Materials 563 (May 2022): 153604. http://dx.doi.org/10.1016/j.jnucmat.2022.153604.
Srivastava, Shobhit, and Nathan Michael. "Efficient, Multifidelity Perceptual Representations via Hierarchical Gaussian Mixture Models." IEEE Transactions on Robotics 35, no. 1 (February 2019): 248–60. http://dx.doi.org/10.1109/tro.2018.2878363.
Vo, Huy D., Zachary Fox, Ania Baetica, and Brian Munsky. "Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models." Journal of Physical Chemistry B 123, no. 10 (February 19, 2019): 2217–34. http://dx.doi.org/10.1021/acs.jpcb.8b10946.
Peherstorfer, Benjamin. "Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models." SIAM/ASA Journal on Uncertainty Quantification 7, no. 2 (January 2019): 579–603. http://dx.doi.org/10.1137/17m1159208.
Du, Xiaosong, Jie Ren, and Leifur Leifsson. "Aerodynamic inverse design using multifidelity models and manifold mapping." Aerospace Science and Technology 85 (February 2019): 371–85. http://dx.doi.org/10.1016/j.ast.2018.12.008.
Zeng, Xiaoshu, Gianluca Geraci, Michael S. Eldred, John D. Jakeman, Alex A. Gorodetsky, and Roger Ghanem. "Multifidelity uncertainty quantification with models based on dissimilar parameters." Computer Methods in Applied Mechanics and Engineering 415 (October 2023): 116205. http://dx.doi.org/10.1016/j.cma.2023.116205.
Mu, Weiyan, Qiuyue Wei, Dongli Cui, and Shifeng Xiong. "Best Linear Unbiased Prediction for Multifidelity Computer Experiments." Mathematical Problems in Engineering 2018 (June 7, 2018): 1–7. http://dx.doi.org/10.1155/2018/8525736.
Rumpfkeil, Markus P., and Philip S. Beran. "Multifidelity Sparse Polynomial Chaos Surrogate Models Applied to Flutter Databases." AIAA Journal 58, no. 3 (March 2020): 1292–303. http://dx.doi.org/10.2514/1.j058452.
Singh, Gulshan, and Ramana V. Grandhi. "Mixed-Variable Optimization Strategy Employing Multifidelity Simulation and Surrogate Models." AIAA Journal 48, no. 1 (January 2010): 215–23. http://dx.doi.org/10.2514/1.43469.
Xing, W., M. Razi, R. M. Kirby, K. Sun, and A. A. Shah. "Greedy nonlinear autoregression for multifidelity computer models at different scales." Energy and AI 1 (August 2020): 100012. http://dx.doi.org/10.1016/j.egyai.2020.100012.
Perry, Daniel J., Robert M. Kirby, Akil Narayan, and Ross T. Whitaker. "Allocation Strategies for High Fidelity Models in the Multifidelity Regime." SIAM/ASA Journal on Uncertainty Quantification 7, no. 1 (January 2019): 203–31. http://dx.doi.org/10.1137/17m1144714.
Yin, Faliang, Xiaoming Xue, Chengze Zhang, Kai Zhang, Jianfa Han, BingXuan Liu, Jian Wang, and Jun Yao. "Multifidelity Genetic Transfer: An Efficient Framework for Production Optimization." SPE Journal 26, no. 04 (January 21, 2021): 1614–35. http://dx.doi.org/10.2118/205013-pa.
Shi, Yan, Zhiqiang Wan, Zhigang Wu, and Chao Yang. "Nonlinear Unsteady Aerodynamics Reduced Order Model of Airfoils Based on Algorithm Fusion and Multifidelity Framework." International Journal of Aerospace Engineering 2021 (September 16, 2021): 1–26. http://dx.doi.org/10.1155/2021/4368104.
Seo, Jongmin, Casey Fleeter, Andrew M. Kahn, Alison L. Marsden, and Daniele E. Schiavazzi. "MULTIFIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY INFORMED DATA UNCERTAINTY." International Journal for Uncertainty Quantification 10, no. 5 (2020): 449–66. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2020033068.
Roderick, Oleg, Mihai Anitescu, and Yulia Peet. "Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models." International Journal of Computer Mathematics 91, no. 4 (January 20, 2014): 748–69. http://dx.doi.org/10.1080/00207160.2013.844431.
Sinsbeck, Michael, and Daniel M. Tartakovsky. "Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models." SIAM/ASA Journal on Uncertainty Quantification 3, no. 1 (January 2015): 954–68. http://dx.doi.org/10.1137/141001743.
Nagawkar, Jethro, Jie Ren, Xiaosong Du, Leifur Leifsson, and Slawomir Koziel. "Single- and Multipoint Aerodynamic Shape Optimization Using Multifidelity Models and Manifold Mapping." Journal of Aircraft 58, no. 3 (May 2021): 591–608. http://dx.doi.org/10.2514/1.c035297.
Amrit, Anand, Leifur Leifsson, and Slawomir Koziel. "Fast Multi-Objective Aerodynamic Optimization Using Sequential Domain Patching and Multifidelity Models." Journal of Aircraft 57, no. 3 (May 2020): 388–98. http://dx.doi.org/10.2514/1.c035500.
Clare, Mariana C. A., Tim W. B. Leijnse, Robert T. McCall, Ferdinand L. M. Diermanse, Colin J. Cotter, and Matthew D. Piggott. "Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding." Natural Hazards and Earth System Sciences 22, no. 8 (August 3, 2022): 2491–515. http://dx.doi.org/10.5194/nhess-22-2491-2022.
Robinson, T. D., M. S. Eldred, K. E. Willcox, and R. Haimes. "Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping." AIAA Journal 46, no. 11 (November 2008): 2814–22. http://dx.doi.org/10.2514/1.36043.
Chan, F. T. S., A. Chaube, V. Mohan, V. Arora, and M. K. Tiwari. "Operation allocation in automated manufacturing system using GA-based approach with multifidelity models." Robotics and Computer-Integrated Manufacturing 26, no. 5 (October 2010): 526–34. http://dx.doi.org/10.1016/j.rcim.2010.04.002.
Allaire, Douglas, and Karen Willcox. "A MATHEMATICAL AND COMPUTATIONAL FRAMEWORK FOR MULTIFIDELITY DESIGN AND ANALYSIS WITH COMPUTER MODELS." International Journal for Uncertainty Quantification 4, no. 1 (2014): 1–20. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2013004121.
Kontaxoglou, Anastasios, Seiji Tsutsumi, Samir Khan, and Shinichi Nakasuka. "Towards a Digital Twin Enabled Multifidelity Framework for Small Satellites." PHM Society European Conference 6, no. 1 (June 29, 2021): 10. http://dx.doi.org/10.36001/phme.2021.v6i1.2801.
Messina, Luca, Alessio Quaglino, Alexandra Goryaeva, Mihai-Cosmin Marinica, Christophe Domain, Nicolas Castin, Giovanni Bonny, and Rolf Krause. "A DFT-driven multifidelity framework for constructing efficient energy models for atomic-scale simulations." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 483 (November 2020): 15–21. http://dx.doi.org/10.1016/j.nimb.2020.09.011.
Gruber, Anthony, Max Gunzburger, Lili Ju, Rihui Lan, and Zhu Wang. "Multifidelity Monte Carlo estimation for efficient uncertainty quantification in climate-related modeling." Geoscientific Model Development 16, no. 4 (February 21, 2023): 1213–29. http://dx.doi.org/10.5194/gmd-16-1213-2023.
Berci, Marco, and Francesco Torrigiani. "Multifidelity Sensitivity Study of Subsonic Wing Flutter for Hybrid Approaches in Aircraft Multidisciplinary Design and Optimisation." Aerospace 7, no. 11 (November 12, 2020): 161. http://dx.doi.org/10.3390/aerospace7110161.
Hebert, James L., Thomas H. Holzer, Timothy J. Eveleigh, and Shahryar Sarkani. "Use of Multifidelity and Surrogate Models in the Design and Development of Physics-Based Systems." Systems Engineering 19, no. 4 (July 2016): 375–91. http://dx.doi.org/10.1002/sys.21346.
Xu, C., Z. Liu, B. T. Cao, G. Meschke, and X. Liu. "Multifidelity operator learning for predicting displacement fields of tunnel linings under external loads." IOP Conference Series: Earth and Environmental Science 1333, no. 1 (May 1, 2024): 012045. http://dx.doi.org/10.1088/1755-1315/1333/1/012045.
Abraham, Troy, David Lazzara, and Douglas Hunsaker. "Multifidelity Comparison of Supersonic Wave Drag Prediction Methods Using Axisymmetric Bodies." Aerospace 11, no. 5 (April 30, 2024): 359. http://dx.doi.org/10.3390/aerospace11050359.
Jiang, Zhenxiang, Jongeun Choi, and Seungik Baek. "Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications." Computers in Biology and Medicine 133 (June 2021): 104394. http://dx.doi.org/10.1016/j.compbiomed.2021.104394.
Berends, K. D., F. Scheel, J. J. Warmink, W. P. de Boer, R. Ranasinghe, and S. J. M. H. Hulscher. "Towards efficient uncertainty quantification with high-resolution morphodynamic models: A multifidelity approach applied to channel sedimentation." Coastal Engineering 152 (October 2019): 103520. http://dx.doi.org/10.1016/j.coastaleng.2019.103520.
Berci, M., P. H. Gaskell, R. W. Hewson, and V. V. Toropov. "Multifidelity metamodel building as a route to aeroelastic optimization of flexible wings." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 9 (July 5, 2011): 2115–37. http://dx.doi.org/10.1177/0954406211403549.
Reed, John A., and Abdollah A. Afjeh. "Computational Simulation of Gas Turbines: Part 1—Foundations of Component-Based Models." Journal of Engineering for Gas Turbines and Power 122, no. 3 (May 15, 2000): 366–76. http://dx.doi.org/10.1115/1.1287490.
Nguyen, Vinh-Tan, Jason Yu Chuan Leong, Satoshi Watanabe, Toshimitsu Morooka, and Takayuki Shimizu. "A Multi-Fidelity Model for Simulations and Sensitivity Analysis of Piezoelectric Inkjet Printheads." Micromachines 12, no. 9 (August 29, 2021): 1038. http://dx.doi.org/10.3390/mi12091038.
Marques, Simão, Lucas Kob, Trevor T. Robinson, and Weigang Yao. "Nonintrusive Aerodynamic Shape Optimisation with a POD-DEIM Based Trust Region Method." Aerospace 10, no. 5 (May 17, 2023): 470. http://dx.doi.org/10.3390/aerospace10050470.
Carpenter, Chris. "Digital-Twin Approach Predicts Fatigue Damage of Marine Risers." Journal of Petroleum Technology 73, no. 10 (October 1, 2021): 65–66. http://dx.doi.org/10.2118/1021-0065-jpt.
Rehme, Michael, Stephen Roberts, and Dirk Pflüger. "Uncertainty quantification for the Hokkaido Nansei-Oki tsunami using B-splines on adaptive sparse grids." ANZIAM Journal 62 (June 29, 2021): C30—C44. http://dx.doi.org/10.21914/anziamj.v62.16121.
Adjei, Richard Amankwa, Xinqian Zheng, Fangyuan Lou, and Chuang Ding. "Multifidelity Optimization Under Uncertainty for Robust Design of a Micro-Turbofan Turbine Stage." Journal of Engineering for Gas Turbines and Power, August 16, 2022. http://dx.doi.org/10.1115/1.4055231.
Kontaxoglou, Anastasios, Seiji Tsutsumi, Samir Khan, and Shinichi Nakasuka. "Multifidelity Framework for Small Satellite Thermal Analysis." Journal of Spacecraft and Rockets, September 13, 2023, 1–11. http://dx.doi.org/10.2514/1.a35666.