Authors: Moretti, Manola, Limongi, Tania, Testi, Claudia, Milanetti, Edoardo, De Angelis, Maria Teresa, Parrotta, Elvira I, Scalise, Stefania, Santamaria, Gianluca, Allione, Marco, Lopatin, Sergei, Torre, Bruno, Zhang, Peng, Marini, Monica, Perozziello, Gerardo, Candeloro, Patrizio, Pirri, Candido Fabrizio, Ruocco, Giancarlo, Cuda, Giovanni, Di Fabrizio, Enzo
Contributors: King Abdullah University of Science and Technology, SMILEs lab, PSE Division, Thuwal, 23955-6900, Kingdom of Saudi Arabia., King Abdullah University of Science and Technology, Imaging and Characterization Core lab, Thuwal, 23955-6900, Kingdom of Saudi Arabia., Biological and Environmental Science and Engineering (BESE) Division, Physical Science and Engineering (PSE) Division, Electron Microscopy, Water Desalination and Reuse Research Center (WDRC), Imaging and Characterization Core Lab
Subject Terms: AFM, Raman spectroscopy, TEM, Superhydrophobic Surfaces, Zernike Polynomial, Voltage Gated Sodium Channels
File Description: application/pdf
Relation: Moretti, M., Limongi, T., Testi, C., Milanetti, E., De Angelis, M. T., Parrotta, E. I., Scalise, S., Santamaria, G., Allione, M., Lopatin, S., Torre, B., Zhang, P., Marini, M., Perozziello, G., Candeloro, P., Pirri, C. F., Ruocco, G., Cuda, G., & Di Fabrizio, E. (2022). Direct Visualization and Identification of Membrane Voltage-Gated Sodium Channels from Human iPSC-Derived Neurons by Multiple Imaging and Light Enhanced Spectroscopy. Small Methods, 2200402. Portico. https://doi.org/10.1002/smtd.202200402; Small methods; http://hdl.handle.net/10754/678098
Authors: Ciardelli, Caio, Bozdaǧ, Ebru, Peter, Daniel, van der Lee, Suzan
Contributors: Earth Science and Engineering Program, Extreme Computing Research Center, Physical Science and Engineering (PSE) Division, Department of Geophysics, Institute of Astronomy, Geophysics and Atmospheric Sciences - University of São Paulo, Brazil, Department of Geophysics, Colorado School of Mines, United States of America, Department of Earth and Planetary Sciences Weinberg College of Arts and Sciences Northwestern University, United States of America
Subject Terms: Adjoint tomography, Spectral elements, B-splines, Fourier series, Associated Legendre polynomials, Spherical harmonics, Gaussian filtering, Interpolation, Visualization
File Description: application/pdf
Relation: https://linkinghub.elsevier.com/retrieve/pii/S0098300421002909; Ciardelli, C., Bozdağ, E., Peter, D., & van der Lee, S. (2021). SphGLLTools: A toolbox for visualization of large seismic model files based on 3D spectral-element meshes. Computers & Geosciences, 105007. doi:10.1016/j.cageo.2021.105007; Computers & Geosciences; 105007; http://hdl.handle.net/10754/674046
Authors: Guo, Lingai, Fahs, Marwan, Hoteit, Hussein, Gao, Rui, Shao, Qian
Contributors: Physical Science and Engineering (PSE) Division, Energy Resources and Petroleum Engineering Program, Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC), School of Civil Engineering, Wuhan University, Wuhan, 430072, China, Institut Terre et Environnement de Strasbourg, Université de Strasbourg, CNRS, ENGEES, UMR 7063, Strasbourg, France
Subject Terms: Fractured, porous media, sensitivity analysis, polynomial chaos expansions, poroelasticity
File Description: application/pdf
Relation: https://www.techscience.com/CMES/v129n1/44196; Guo, L., Fahs, M., Hoteit, H., Gao, R., & Shao, Q. (2021). Uncertainty Analysis of Seepage-Induced Consolidation in a Fractured Porous Medium. Computer Modeling in Engineering & Sciences, 129(1), 279–297. doi:10.32604/cmes.2021.016619; 2-s2.0-85113435128; Computer Modeling in Engineering & Sciences; 279-297; http://hdl.handle.net/10754/670952; 129; WOS:000688417500013
Authors: Schick, M., Heuveline, V., Le Maitre, O. P.
Contributors: Heidelberg Institute for Theoretical Studies, Heidelberg, 69118, Germany, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, 69115, Germany, LIMSI-CNRS, Orsay Cedex, 91403, France, Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, United States
Subject Terms: uncertainty quantification, stochastic limit-cycle, stochastic Navier-Stokes equations, stochastic period, polynomial chaos, long term integration
Relation: Schick, M., Heuveline, V., & Le Ma, O. P. (2016). A Newton--Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics. SIAM Review, 58(1), 119–140. doi:10.1137/15m104311x; 2-s2.0-84958683746; SIAM REVIEW; 119-140; http://hdl.handle.net/10754/597348; 58; WOS:000369712500008
Contributors: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, The Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA, Department of Mathematics, North Carolina State University, Raleigh, NC, USA, Department of Mathematical and Industrial Engineering, École Polytechnique de Montréal, Montréal, Canada, Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
Subject Terms: Carbon sequestration, Multiphase flow, Risk assessment, Parametric Uncertainty, Polynomial Chaos, Sensitivity analysis
Relation: http://www.sciencedirect.com/science/article/pii/S0307904X1730567X; Saad BM, Alexanderian A, Prudhomme S, Knio OM (2017) Probabilistic modeling and global sensitivity analysis for CO 2 storage in geological formations: a spectral approach. Applied Mathematical Modelling. Available: http://dx.doi.org/10.1016/j.apm.2017.09.016.; http://hdl.handle.net/10754/625502; Applied Mathematical Modelling; 1602.02736
Authors: Atminas, Aistis, Lozin, Vadim, Moshkov, Mikhail
Contributors: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Department of Mathematics, London School of Economics, Houghton Street, London WC2A 2AE, UK, Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
Subject Terms: Well-quasi-ordering, Factorial language, Polynomial-time algorithm, Induced subgraph, Permutation
Relation: http://www.sciencedirect.com/science/article/pii/S0890540117301396; Atminas A, Lozin V, Moshkov M (2017) WQO is Decidable for Factorial Languages. Information and Computation. Available: http://dx.doi.org/10.1016/j.ic.2017.08.001.; http://hdl.handle.net/10754/625350; Information and Computation
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Applied Mathematics and Computational Science Program, Duke University, Durham, NC, United States, LIMSI-CNRS, Orsay, France
Subject Terms: Bayesian inference, Elasticity imaging, Model selection, Polynomial chaos, Soft tissue, Uncertainty quantification
Relation: http://www.sciencedirect.com/science/article/pii/S0266892016300261; http://manuscript.elsevier.com/S0266892016300261/pdf/S0266892016300261.pdf; Contreras AA, Le Maître OP, Aquino W, Knio OM (2016) Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems. Probabilistic Engineering Mechanics 46: 107–119. Available: http://dx.doi.org/10.1016/j.probengmech.2016.08.004.; http://hdl.handle.net/10754/622314; Probabilistic Engineering Mechanics
Authors: Mueller, Axel, Kammoun, Abla, Björnson, Emil, Debbah, Mérouane
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Mathematical and Algorithmic Sciences Lab, France Research Center, Huawei Technologies Co. Ltd., Arcs de Seine Bâtiment A, 20 Quai du Point du Jour, 92100 Boulogne-Billancourt, France, Alcatel-Lucent on Flexible Radio, SUPELEC, Plateau de Moulon, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France, Linköping University, Department of Electrical Engineering, SE-581 83 Linköping, Sweden, King Abdullah University of Science and Technology (KAUST)
Subject Terms: Massive MIMO, Linear precoding, Multiuser systems, Polynomial expansion, Random matrix theory
Relation: http://jwcn.eurasipjournals.com/content/2016/1/63; Linear precoding based on polynomial expansion: reducing complexity in massive MIMO 2016, 2016 (1) EURASIP Journal on Wireless Communications and Networking; http://hdl.handle.net/10754/601296; EURASIP Journal on Wireless Communications and Networking
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Life Sciences, CWI, Science Park 123, Amsterdam 1098XG, The Netherlands, Mathematical Institute, University of Leiden, Niels Bohrweg 1, Leiden 2333CA, The Netherlands, King Abdullah University of Science and Technology (KAUST)
Subject Terms: Morphogenesis, Vascular network development, Computational modeling, Cellular Potts model, Global sensitivity analysis, Sobol’ indices, Polynomial chaos expansion
Relation: http://www.biomedcentral.com/1752-0509/9/85; A global sensitivity analysis approach for morphogenesis models 2015, 9 (1) BMC Systems Biology; http://hdl.handle.net/10754/583063; BMC Systems Biology; 1507.08504
Authors: Kim, Daesang, Rizzi, Francesco, Cheng, Kwok Wah, Han, Jie, Bisetti, Fabrizio, Knio, Omar Mohamad
Contributors: Clean Combustion Research Center, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Reactive Flow Modeling Laboratory (RFML), Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, United States, School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, Singapore
Subject Terms: Chemi-ionization, Electrons, Ion chemistry, Polynomial chaos, Sparse-adaptive sampling, Uncertainty quantification
Relation: https://dr.ntu.edu.sg/bitstream/10356/106367/1/paper_r824_highlight.pdf; Kim, D., Rizzi, F., Cheng, K. W., Han, J., Bisetti, F., & Knio, O. M. (2015). Uncertainty quantification of ion chemistry in lean and stoichiometric homogenous mixtures of methane, oxygen, and argon. Combustion and Flame, 162(7), 2904–2915. doi:10.1016/j.combustflame.2015.03.013; http://hdl.handle.net/10754/564192; Combustion and Flame
Authors: Jarda, Seifallah, Ahmed, Sajid, Alouini, Mohamed-Slim
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electrical Engineering Program, Electrical Engineering Department, Information Technology University (ITU), Lahore, , Pakistan
Subject Terms: Collocated antennas, Finite alphabet, Hermite polynomials, Multiple-input multiple-output (MIMO) radar, Waveform design
Relation: https://ieeexplore.ieee.org/document/8646690; Jarda S, Ahmed S, Alouini M-S (2018) GENERATION OF CORRELATED PSK WAVEFORMS USING COMPLEX GAUSSIAN RANDOM VARIABLES. 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2018.8646690.; http://hdl.handle.net/10754/652990; 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Authors: Alzahrani, Hasnaa H.
Contributors: Knio, Omar, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Keyes, David E., Hoteit, Ibrahim, Alexanderian, Alen
Subject Terms: Space-Fractional Diffusion, Polynomial Chaos Expansion, Uncertainty Quantification, Bayesian Inference, Numerical Discretization
Relation: Alzahrani, H. H. (2023). Simulation and Calibration of Uncertain Space Fractional Diffusion Equations [KAUST Research Repository]. https://doi.org/10.25781/KAUST-93GMA; http://hdl.handle.net/10754/687442; orcid:0000-0003-1786-7121
Authors: Navarro, María, Le Maître, Olivier P., Hoteit, Ibrahim, George, David L., Mandli, Kyle T., Knio, Omar
Contributors: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Earth Fluid Modeling and Prediction Group, Earth Science and Engineering Program, Physical Science and Engineering (PSE) Division, LIMSI-CNRS, Orsay Cedex, Paris, F-91403, , France, U.S. Geological Survey, Vancouver, WA, 98683, , United States, Department of Applied Physics and Applied Mathematics, Columbia University in the City of New York, New York, NY, 10027, , United States
Subject Terms: Bayesian inference, Debris flow, Polynomial chaos expansion, Uncertainty quantification
Relation: https://link.springer.com/article/10.1007%2Fs10596-018-9765-1; Navarro M, Le Maître OP, Hoteit I, George DL, Mandli KT, et al. (2018) Surrogate-based parameter inference in debris flow model. Computational Geosciences 22: 1447–1463. Available: http://dx.doi.org/10.1007/s10596-018-9765-1.; http://hdl.handle.net/10754/630563; Computational Geosciences
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Applied Mathematics and Computational Science Program, Rosenstiel School for Marine and Atmospheric Sciences, University of Miami, Miami, FL, USA, Duke University, Durham, NC, USA, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA, Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, USA
Subject Terms: Uncertainty quantification, Polynomial chaos, Relative entropy, Ocean modeling, Data depth
Relation: http://www.sciencedirect.com/science/article/pii/S1463500318303111; Wang S, Li G, Iskandarani M, Le Hénaff M, Knio OM (2018) Verifying and assessing the performance of the perturbation strategy in polynomial chaos ensemble forecasts of the circulation in the Gulf of Mexico. Ocean Modelling 131: 59–70. Available: http://dx.doi.org/10.1016/j.ocemod.2018.09.002.; http://hdl.handle.net/10754/630538; Ocean Modelling
Authors: Hantouche, Mireille, Sarathy, Mani, Knio, Omar
Contributors: Applied Mathematics and Computational Science Program, Chemical Engineering Program, Clean Combustion Research Center, Combustion and Pyrolysis Chemistry (CPC) Group, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Mechanical Engineering Program, Physical Science and Engineering (PSE) Division
Subject Terms: Rate rules, Polynomial chaos surrogate, Adaptive pseudo-spectral projection, Global sensitivity analysis, n-butanol mechanism
Relation: http://www.sciencedirect.com/science/article/pii/S0010218018303006; Hantouche M, Sarathy SM, Knio OM (2018) Global sensitivity analysis of n-butanol reaction kinetics using rate rules. Combustion and Flame 196: 452–465. Available: http://dx.doi.org/10.1016/j.combustflame.2018.06.035.; http://hdl.handle.net/10754/630539; Combustion and Flame
Authors: Li, Yuxiao, Sun, Ying
Contributors: Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Subject Terms: Climate model runs, conditional simulation, large datasets, local likelihood estimation, nonstationary Matérn covariance function, polynomial approximation
Relation: http://www3.stat.sinica.edu.tw/statistica/J29N3/J29N36/J29N36.html; Li, Y., & Sun, Y. (2019). Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation. Statistica Sinica. doi:10.5705/ss.202017.0536; http://hdl.handle.net/10754/656333; Statistica Sinica
Authors: Contreras, Andres A., Mycek, Paul, Le Maître, Olivier P., Rizzi, Francesco, Debusschere, Bert, Knio, Omar
Contributors: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Duke University, Durham, NC, 27708, , United States, CERFACS, Toulouse, 31057, , France, CNRS, LIMSI, Université Paris Saclay, Orsay, , , , France, Sandia National Laboratories, Livermore, CA, 94550, , United States
Subject Terms: Domain decomposition, Monte Carlo method, Polynomial chaos expansion, Stochastic elliptic equations
Relation: Contreras AA, Mycek P, Le Maître OP, Rizzi F, Debusschere B, et al. (2018) Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions. SIAM Journal on Scientific Computing 40: C547–C580. Available: http://dx.doi.org/10.1137/17M1132197.; http://hdl.handle.net/10754/631514; SIAM Journal on Scientific Computing
Authors: Ait-Haddou, Rachid
Contributors: Visual Computing Center (VCC), King Abdullah University of Science and Technology (KAUST)
Subject Terms: Degree reduction, Discrete least squares, Bézier curves, hh-Bézier curves, Jacobi orthogonal polynomials, Hahn orthogonal polynomials
Relation: http://linkinghub.elsevier.com/retrieve/pii/S0021904516000411; Continuous and discrete best polynomial degree reduction with Jacobi and Hahn weights 2016 Journal of Approximation Theory; http://hdl.handle.net/10754/600525; Journal of Approximation Theory
Contributors: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electrical Engineering Program, Dipartimento di Ingegneria dell'Informazione, University of Pisa, Italy, Large Networks and System Group (LANEAS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France, Mathematical and Algorithmic Sciences Lab, Huawei France RandD, Paris, France
Subject Terms: linear transceivers, low complexity, Massive MIMO systems, random matrix theory, truncated polynomial expansion
Relation: http://ieeexplore.ieee.org/document/7536729/; https://hal-centralesupelec.archives-ouvertes.fr/hal-01789306/file/nadeem.pdf; Sifaou H, Kammoun A, Sanguinetti L, Debbah M, Alouini M-S (2016) Max-min SINR low complexity transceiver design for single cell massive MIMO. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2016.7536729.; http://hdl.handle.net/10754/622656; 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Authors: Navarro, María, Le Maître, O. P., Knio, Omar
Contributors: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, LIMSI-CNRS, UPR-3251, Orsay, France, Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
Subject Terms: variance decomposition, stochastic differential equation, polynomial chaos
Relation: Jimenez MN, Le Maître OP, Knio OM (2017) Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations. SIAM/ASA Journal on Uncertainty Quantification 5: 378–402. Available: http://dx.doi.org/10.1137/16m1061989.; http://hdl.handle.net/10754/626240; SIAM/ASA Journal on Uncertainty Quantification