Artykuły udostępnione publicznie: - Zhe BaiWięcej informacji
Dostępne w jakimś miejscu: 8
Dynamic mode decomposition for compressive system identification
Z Bai, E Kaiser, JL Proctor, JN Kutz, SL Brunton
AIAA Journal 58 (2), 561-574, 2020
Upoważnienia: US Department of Energy, US Department of Defense, Gordon and Betty Moore …
Data-driven methods in fluid dynamics: Sparse classification from experimental data
Z Bai, SL Brunton, BW Brunton, JN Kutz, E Kaiser, A Spohn, BR Noack
Whither turbulence and big data in the 21st century?, 323-342, 2017
Upoważnienia: US Department of Energy, US Department of Defense
Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators
Z Bai, L Peng
Adv. Model. and Simul. in Eng. Sci. 8 (1), 28, 2021
Upoważnienia: US Department of Energy
Randomized methods to characterize large-scale vortical flow networks
Z Bai, NB Erichson, M Gopalakrishnan Meena, K Taira, SL Brunton
PloS one 14 (11), e0225265, 2019
Upoważnienia: US Department of Energy, US Department of Defense
Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive
GM Wallace, Z Bai, R Sadre, T Perciano, N Bertelli, S Shiraiwa, EW Bethel, ...
Journal of Plasma Physics 88 (4), 895880401, 2022
Upoważnienia: US Department of Energy
Adaptable deep learning and probabilistic graphical model system for semantic segmentation
M Avaylon, R Sadre, Z Bai, T Perciano
Advances in Artificial Intelligence and Machine Learning 2 (01), 288-302, 2022
Upoważnienia: US Department of Energy
Towards fast, accurate predictions of RF simulations via data-driven modeling: Forward and lateral models
GM Wallace, Z Bai, N Bertelli, EW Bethel, T Perciano, S Shiraiwa, ...
AIP Conference Proceedings 2984 (1), 2023
Upoważnienia: US Department of Energy
ICRF wave propagation and absorption modelling via machine learning
Z Bai, N Bertelli, EW Bethel, T Perciano, S Shiraiwa, G Wallace, JC Wright
Upoważnienia: US Department of Energy
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