Članki z zahtevami za javni dostop - Daniele VenturiVeč o tem
Na voljo nekje: 29
Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields
P Perdikaris, D Venturi, JO Royset, GE Karniadakis
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Zahteve: US Department of Energy
Multi-fidelity Gaussian process regression for prediction of random fields
L Parussini, D Venturi, P Perdikaris, GE Karniadakis
Journal of Computational Physics 336, 36-50, 2017
Zahteve: US Department of Defense
Multifidelity information fusion algorithms for high-dimensional systems and massive data sets
P Perdikaris, D Venturi, GE Karniadakis
SIAM Journal on Scientific Computing 38 (4), B521-B538, 2016
Zahteve: US Department of Energy
Numerical methods for high-dimensional probability density function equations
H Cho, D Venturi, GE Karniadakis
Journal of Computational Physics 305, 817-837, 2016
Zahteve: US National Science Foundation
Rank-adaptive tensor methods for high-dimensional nonlinear PDEs
A Dektor, A Rodgers, D Venturi
Journal of Scientific Computing 88 (2), 36, 2021
Zahteve: US Department of Defense
The numerical approximation of nonlinear functionals and functional differential equations
D Venturi
Physics Reports 732, 1-102, 2018
Zahteve: US Department of Defense
Data-driven closures for stochastic dynamical systems
C Brennan, D Venturi
Journal of Computational Physics 372, 281-298, 2018
Zahteve: US National Science Foundation, US Department of Defense
On the estimation of the Mori-Zwanzig memory integral
Y Zhu, JM Dominy, D Venturi
Journal of Mathematical Physics 59 (10), 2018
Zahteve: US Department of Defense
Parallel tensor methods for high-dimensional linear PDEs
AMP Boelens, D Venturi, DM Tartakovsky
Journal of Computational Physics 375, 519-539, 2018
Zahteve: US National Science Foundation, US Department of Defense
Faber approximation of the Mori–Zwanzig equation
Y Zhu, D Venturi
Journal of Computational Physics 372, 694-718, 2018
Zahteve: US Department of Defense
Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs
A Dektor, D Venturi
Journal of Computational Physics 404, 109125, 2020
Zahteve: US Department of Defense
Tensor methods for the Boltzmann-BGK equation
AMP Boelens, D Venturi, DM Tartakovsky
Journal of Computational Physics 421, 109744, 2020
Zahteve: US Department of Defense
Statistical analysis and simulation of random shocks in stochastic Burgers equation
H Cho, D Venturi, GE Karniadakis
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014
Zahteve: US Department of Energy
Adaptive integration of nonlinear evolution equations on tensor manifolds
A Rodgers, A Dektor, D Venturi
Journal of Scientific Computing 92 (2), 39, 2022
Zahteve: US Department of Defense
Generalized Langevin equations for systems with local interactions
Y Zhu, D Venturi
Journal of Statistical Physics 178 (5), 1217-1247, 2020
Zahteve: US Department of Defense
A new scalable algorithm for computational optimal control under uncertainty
P Lambrianides, Q Gong, D Venturi
Journal of Computational Physics 420, 109710, 2020
Zahteve: US Department of Defense
Spectral methods for nonlinear functionals and functional differential equations
D Venturi, A Dektor
Research in the Mathematical Sciences 8 (2), 27, 2021
Zahteve: US National Science Foundation, US Department of Defense
Dynamic tensor approximation of high-dimensional nonlinear PDEs
A Dektor, D Venturi
Journal of Computational Physics 437, 110295, 2021
Zahteve: US Department of Defense
Duality and conditional expectations in the Nakajima-Mori-Zwanzig formulation
JM Dominy, D Venturi
Journal of Mathematical Physics 58 (8), 2017
Zahteve: US Department of Defense
Stability analysis of hierarchical tensor methods for time-dependent PDEs
A Rodgers, D Venturi
Journal of Computational Physics 409, 109341, 2020
Zahteve: US Department of Defense
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