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Lohit Vandanapu
Lohit Vandanapu
Verified email at jhu.edu
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Cited by
Year
UQpy: A general purpose Python package and development environment for uncertainty quantification
A Olivier, D Giovanis, BS Aakash, M Chauhan, L Vandanapu, MD Shields
Journal of Computational Science 47, 101204, 2020
652020
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields
Journal of Computational Physics 464, 111313, 2022
272022
3rd-order Spectral Representation Method: Simulation of multi-dimensional random fields and ergodic multi-variate random processes with fast Fourier transform implementation
L Vandanapu, MD Shields
Probabilistic Engineering Mechanics 64, 103128, 2021
92021
Simulation of non-stationary and non-Gaussian random processes by 3rd-order Spectral Representation Method: Theory and POD implementation
L Vandanapu, MD Shields
Mechanical Systems and Signal Processing 178, 109150, 2022
82022
Uqpy v4. 1: Uncertainty quantification with python
D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ...
SoftwareX 24, 101561, 2023
72023
3rd-order Spectral Representation Method: Part I--Multi-dimensional random fields with fast Fourier transform implementation
L Vandanapu, MD Shields
arXiv preprint arXiv:1910.06420, 2019
42019
3rd-order Spectral Representation Method: Part II--Ergodic Multi-variate random processes with fast Fourier transform
L Vandanapu, MD Shields
arXiv preprint arXiv:1911.10251, 2019
22019
UQpy-Uncertainty Quantification with Python
MD Shields, DG Giovanis, A Bangalore-Satish, M Chauhan, A Olivier, ...
12018
Simulation of non-Gaussian wind field as a 3rd-order stochastic wave
L Vandanapu, MD Shields
Reliability Engineering & System Safety 245, 109960, 2024
2024
Efficient simulation of higher-order non-Gaussian/non-stationary stochastic processes: An FFT approach
L Vandanapu
Johns Hopkins University, 2022
2022
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Articles 1–10