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N
N. Benjamin Erichson
Lawrence Berkeley National Laboratory
17
H-index
70
Paper Count
1.2K
Citation Count
0
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Published Papers
13
Publication Date
Publication Date
Impact Factor
Citations
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting With a State Space Backbone
Water Resources Research
IF
5
2026-10-07
0
OA
AI
Yihan Wang; Annan Yu; Lujun Zhang; Charuleka Varadharajan; N. Benjamin Erichson
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A multimodal large language model for materials science
Nature Machine Intelligence
IF
23.9
2026-04-24
0
OA
AI
Yingheng Tang; Wenbin Xu; Jie Cao; Weilu Gao; Steven Farrell; Benjamin Erichson; Michael W. Mahoney; Andy Nonaka; Zhi Jackie Yao
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Learning earthquake ground motions via conditional generative modeling
Nature Communications
IF
15.7
2026-03-16
0
OA
AI
Pu Ren; Rie Nakata; Maxime Lacour; Ilan Naiman; Nori Nakata; Jialin Song; Zhengfa Bi; Osman Asif Malik; Dmitriy Morozov; Omri Azencot; N. Benjamin Erichson; Michael W. Mahoney
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A Deep State Space Model for Rainfall-Runoff Simulations
WATER RESOURCES RESEARCH
IF
5
2025-12-06
0
OA
AI
Wang, Yihan; Zhang, Lujun; Yu, Annan; Erichson, N. Benjamin; Yang, Tiantian
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Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning
Nature Communications
IF
15.7
2025-11-23
0
OA
AI
Dongwei Lyu; Rie Nakata; Pu Ren; Michael W. Mahoney; Arben Pitarka; Nori Nakata; N. Benjamin Erichson
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A Mass Conservation Relaxed (MCR) LSTM Model for Streamflow Simulation Across CONUS
Water Resources Research
IF
5
2025-08-16
0
OA
AI
Yihan Wang; Lujun Zhang; N. Benjamin Erichson; Tiantian Yang
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Investigating the streamflow simulation capability of a new mass-conserving long short-term memory (MC-LSTM) model across the contiguous United States
JOURNAL OF HYDROLOGY
IF
6.3
2025-06-16
1
PRE
AI
Wang, Yihan; Zhang, Lujun; Erichson, N. Benjamin
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Forecasting high-dimensional spatio-temporal systems from sparse measurements
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF
4.6
2024-12-18
0
OA
AI
Song, Jialin; Song, Zezheng; Ren, Pu; Erichson, N. Benjamin; Mahoney, Michael W.; Li, Xiaoye S.
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Learning continuous models for continuous physics
COMMUNICATIONS PHYSICS
IF
5.8
2023-11-03
3
OA
AI
Krishnapriyan, Aditi S.; Queiruga, Alejandro F.; Erichson, N. Benjamin; Mahoney, Michael W.
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Randomized CP tensor decomposition
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF
4.6
2020-05-27
24
OA
AI
Erichson, N. Benjamin; Manohar, Krithika; Brunton, Steven L.; Kutz, J. Nathan
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Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0)
GEOSCIENTIFIC MODEL DEVELOPMENT
IF
4.9
2019-04-18
6
OA
AI
Velegar, Meghana; Erichson, N. Benjamin; Keller, Christoph A.; Kutz, J. Nathan
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Randomized Matrix Decompositions Using R
JOURNAL OF STATISTICAL SOFTWARE
IF
8.1
2019-01-01
53
OA
AI
Erichson, N. Benjamin; Voronin, Sergey; Brunton, Steven L.; Kutz, J. Nathan
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Randomized nonnegative matrix factorization
PATTERN RECOGNITION LETTERS
IF
3.3
2018-03-01
33
OA
AI
Erichson, N. Benjamin; Mendible, Ariana; Wihlborn, Sophie; Kutz, J. Nathan
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Research Directions
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Co-authors
Cooperation Journals
J
J. Nathan Kutz
H-index: 73 · Papers: 606
S
Steven L. Brunton
H-index: 69 · Papers: 627
M
Michael W. Mahoney
H-index: 65 · Papers: 535
W
Weilu Gao
H-index: 33 · Papers: 179
C
Christoph A. Keller
H-index: 30 · Papers: 168
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