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Data-driven modeling, reduced-order modeling, machine learning
United States

Activities

Employment (1)

Lawrence Berkeley National Laboratory: Berkeley, US, US

Computational researcher (Applied Mathematics and Computational Research)
Employment
Source: Self-asserted source
Zhe Bai

Education and qualifications (2)

University of Washington: Seattle, WA, US

PhD (Mechanical Engineering)
Education
Source: Self-asserted source
Zhe Bai

University of Washington: Seattle, WA, US

MS (Applied Mathematics)
Education
Source: Self-asserted source
Zhe Bai

Works (15)

Sparsified time-dependent Fourier neural operators for fusion simulations

Physics of Plasmas
2024-12-01 | Journal article
Contributors: Mustafa Mutiur Rahman; Zhe Bai; Jacob Robert King; Carl R. Sovinec; Xishuo Wei; Samuel Williams; Yang Liu
Source: check_circle
Crossref

Real-time capable modeling of ICRF heating on NSTX and WEST via machine learning approaches

Nuclear Fusion
2024-09-01 | Journal article
Contributors: Á. Sánchez-Villar; Z. Bai; N. Bertelli; E.W. Bethel; J. Hillairet; T. Perciano; S. Shiraiwa; G.M. Wallace; J.C. Wright
Source: check_circle
Crossref

AutoCT: Automated CT registration, segmentation, and quantification

SoftwareX
2024-05 | Journal article
Part of ISSN: 2352-7110
Contributors: Zhe Bai; Abdelilah Essiari; Talita Perciano; Kristofer E. Bouchard
Source: Self-asserted source
Zhe Bai via Crossref Metadata Search

FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks

2024-05-02 | Preprint
Contributors: Zhe Bai; Xishuo Wei; William Tang; Leonid Oliker; Zhihong Lin; Samuel Williams
Source: check_circle
Crossref

Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation

Advances in Artificial Intelligence and Machine Learning
2022 | Journal article
Part of ISSN: 2582-9793
Source: Self-asserted source
Zhe Bai

Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive

Journal of Plasma Physics
2022-08 | Journal article
Part of ISSN: 0022-3778
Part of ISSN: 1469-7807
Contributors: Zhe Bai
Source: Self-asserted source
Zhe Bai

Fusion RF Modeling Machine Learning (FusionML_RF) v1.0

2022-06 | Report
OTHER-ID: 1989436
Contributors: Bai, Zhe ; ; Sadre, Robbie ; ; Perciano, Talita ; ; Bethel, Edward ; ; Wallace, Greg ; ; Wright, John ; ; Shiraiwa, Syun'ichi ; ; Bertelli, Nicola ; ; USDOE
Source: Self-asserted source
Zhe Bai via DOE OSTI.GOV

Automated CT registration, segmentation, and quantification (AutoCT) v1.0

Source: Self-asserted source
Zhe Bai

Automated CT registration, segmentation, and quantification (AutoCT) v1.1

Source: Self-asserted source
Zhe Bai

Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators

Advanced Modeling and Simulation in Engineering Sciences
2021-12 | Journal article
Contributors: Zhe Bai; Liqian Peng
Source: check_circle
Crossref

Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators

2021-10-01 | Preprint
Contributors: Zhe Bai; Liqian Peng
Source: check_circle
Crossref

Dynamic Mode Decomposition for Compressive System Identification

AIAA Journal
2020-02 | Journal article
Part of ISSN: 0001-1452
Contributors: Zhe Bai; Eurika Kaiser; Joshua L. Proctor; J. Nathan Kutz; Steven L. Brunton
Source: Self-asserted source
Zhe Bai via Crossref Metadata Search

Randomized methods to characterize large-scale vortical flow networks

PLOS ONE
2019-11-18 | Journal article
Contributors: Zhe Bai; Fang-Bao Tian; N. Benjamin Erichson; Muralikrishnan Gopalakrishnan Meena; Kunihiko Taira; Steven L. Brunton
Source: check_circle
Crossref

Data-Driven Methods in Fluid Dynamics: Sparse Classification from Experimental Data

Whither Turbulence and Big Data in the 21st Century?
2016-08 | Other
Contributors: Zhe Bai; Steven L. Brunton; Bingni W. Brunton; J. Nathan Kutz; Eurika Kaiser; Andreas Spohn; Bernd R. Noack
Source: Self-asserted source
Zhe Bai via Crossref Metadata Search

Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing

AIAA Journal
2015-04 | Journal article
Part of ISSN: 0001-1452
Contributors: Zhe Bai; Thakshila Wimalajeewa; Zachary Berger; Guannan Wang; Mark Glauser; Pramod K. Varshney
Source: Self-asserted source
Zhe Bai via Crossref Metadata Search