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Dan Lu

Senior Scientist

Oak Ridge National Laboratory

United States

Research Interests

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Professors in United States Professors in Hydrology Hydrology professors in United States

Articles (14)

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2026

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2026

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2026

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2026

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2025

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2023

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2023

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2023

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2023

Collaborators (13)

Zachary Morgan

Assistant Professor

Kettering University

UNITED STATES

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Elizabeth A. Barnes

Professor

Boston University

UNITED STATES

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Prasanna Balaprakash

Director of AI Programs and Distinguished R&D Scientist

Oak Ridge National Laboratory

UNITED STATES

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soroosh sorooshian

Distinguished Professor and Director

University of California, Irvine

UNITED STATES

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Yanfang Liu

Assistant Professor

Middle Tennessee State University

UNITED STATES

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Yiqun Xie

University of Maryland

UNITED STATES

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Maria Molina

Project Scientist II

University of Maryland

UNITED STATES

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Jeffrey Sadler

Assistant Professor

Oklahoma State University

UNITED STATES

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William Collins

Director of ClimateUEA and Professor in AI for Climate Science

University of East Anglia

UNITED KINGDOM

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Abhishek Potnis

Associate R&D Scientist

Oak Ridge National Laboratory

UNITED STATES

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Paul Ullrich

tahoe environmental research center university of california davis california usa

UNITED STATES

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Jiafu Mao

Senior Scientist

University of Tennessee

UNITED STATES

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Xiao Wang

Joint Appointment Assistant Professor

University of Tennessee

UNITED STATES

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Dan Lu

Research Interests

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Articles (14)

From Lumped to Spatially Distributed Hydrologic Modeling: A Data‐Driven Framework Evaluated Across North American Catchments

HydroTFT: a cross-basin attention model for multi-horizon rainfall–runoff prediction

Emerging Flexible Designs for Geospatial Multimodal Foundation Models

Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity

Recommendations for Comprehensive and Independent Evaluation of Machine Learning‐Based Earth System Models

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models

Novel Deep Learning Transformer Model for Short to Sub‐Seasonal Streamflow Forecast

A Diffusion‐Based Uncertainty Quantification Method to Advance E3SM Land Model Calibration

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions

Improving streamflow predictions across CONUS by integrating advanced machine learning models and diverse data

Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling

Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture

Machine-learning-assisted automation of single-crystal neutron diffraction

Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs

Collaborators (13)

Zachary Morgan

Elizabeth A. Barnes

Prasanna Balaprakash

soroosh sorooshian

Yanfang Liu

Yiqun Xie

Maria Molina

Jeffrey Sadler

William Collins

Abhishek Potnis

Paul Ullrich

Jiafu Mao

Xiao Wang

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