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Mengsu Hu Selected as ARMA Future Leader 1 min read

by Christina Procopiou on June 28, 2021

Energy Geosciences Division

EESA research scientist Mengsu Hu was selected as a future leader of the American Rock Mechanics Association (ARMA) in 2020. Watch a video of her describing her work that is part of a new series of Youtube videos recently initiated by Hu with the support of the ARMA Board of Directors to enhance the scientific visibility of ARMA Future Leaders. The ARMA Future Leader Program identifies motivated ARMA members of outstanding promise, who are relatively early in their careers and bring ideas for the continued development of ARMA.

Hu’s research focuses on numerical modeling of coupled thermal-hydro-mechanical-chemical (THMC) processes in the energy geosciences.

She develops novel numerical models and computer codes with Jonny Rutqvist and colleagues, including those based on the numerical manifold method (NMM) and the extended finite volume method (XFVM).  The XFVM is a new computational method that breaks past the limitations of the conventional finite volume method in order to analyze continuum and discontinuum mechanics and coupled processes in complex fractured geosystems.  The work on the XFVM represents an ongoing Early Career LDRD project led by Hu.

In the Fundamental Geosciences BES program at Berkeley Lab, Hu is leading a cross-cutting project with Carl Steefel to understand fundamental mechanical-chemical processes associated with carbonate compaction, pressure solution, fracture alteration, and clay swelling.

She is also leading research activities for the nuclear waste program to analyze multi-scale, long-term thermal-hydrological-mechanical (THM) processes in argillite (clay-bearing), crystalline, and salt rocks.

Hu is also interested in making flexible use of machine learning for energy geosciences applications. She has applied machine learning to assist in numerical modeling, including image recognition, mesh generation, and optimization.

News & Events

Chun Chang Places Second in Annual Berkeley Lab Pitch Competition3 min read

January 18, 2023

Commercializing Berkeley Lab inventions is an important part of the Lab’s mission, and one that requires strong communication skills. For example, Lab inventors need to be able to pitch their ideas to external partners and potential funders.  The annual Berkeley Lab Pitch Competition occurred on October 27, 2022 and is a part of an entrepreneurship…

EESA Scientists Collaborate With Universities to bring Environmental Science Research Opportunities and Training to Students Underrepresented in STEM3 min read

January 13, 2023

  EESA researchers are collaborators in three of the 41 projects awarded in December by DOE through its Reaching a New Energy Sciences Workforce (RENEW) initiative.  RENEW aims to build foundations for research at institutions that have been historically underrepresented in the Office of Science (SC) research portfolio. The initiative provides opportunities for undergraduate and…

New Report Explores Revolutionary Environmental Artificial Intelligence Infrastructure5 min read

January 10, 2023

In a collaborative effort between the U.S. Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and DOE’s Advanced Scientific Computing Research (ASCR) program, as well as with community experts, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held from October through December 2021. BER developed the process as the Model-Experiment paradigm, or ModEx, and a report released this fall outlines the key takeaways of last year’s event.

A Q&A With Postdoc Kunxiaoja Yuan3 min read

January 4, 2023

  Kunxiaojia Yuan received her Bachelor’s of Engineering in remote sensing and Ph.D. in geographic information engineering from Wuhan University. She is a postdoctoral researcher in EESA, with a research focus on global carbon, energy, and water cycle analysis and model evaluation using machine learning and causal inference. What motivated you to pursue a postdoc…

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