Brandon Wood profile

Brandon Wood

Director, Laboratory for Energy Applications for the Future

Email

Biography

Research Interests

Dr. Wood's primary research interests lie in the application of ab initio and mesoscale simulation techniques and high-performance computing to materials for energy storage and conversion. He has led numerous projects in hydrogen storage and production, solid-state batteries, electrocatalysis, and corrosion science. He is currently the Associate Program Lead for Hydrogen & Computational Energy Materials at LLNL.

His research activities center on "beyond-ideal" materials modeling for enable more realistic simulations of device operating environments. Topics of interest include solid-liquid and solid-solid interfaces, electrochemical processes, cooperative dynamics, disordered and amorphous systems, and nonequilibrium behavior. He is also active in the development of computational approaches for multiscale kinetics of physiochemical and electrochemical processes, and in the formulation of descriptors that use physiochemical principles to rapidly predict materials performance and durability.

Dr. Wood is the Theory Lead for the Hydrogen Storage Materials Advanced Research Consortium (HyMARC), funded by the Fuel Cell Technologies Office within the DOE Office of Energy Efficiency and Renewable Energy. HyMARC focuses on the foundational understanding of kinetic and thermodynamic phenomena underlying solid-state hydrogen storage.

He also serves as Deputy Director of the Laboratory for Energy Applications for the Future (LEAF).

Education

  • Ph.D., Materials Science and Engineering, MIT, 2007
  • B.S., Physics, Stanford University, 2001
  • B.A., Slavic Studies, Stanford University, 2001

Publications

2020 1 publication

2018 5 publications

2017 5 publications

2016 2 publications

2015 3 publications

2014 2 publications

2013 1 publication

2012 1 publication

Awards

  • LLNL Early & Mid Career Recognition Award, 2017

  • National Science Foundation International Research Postdoctoral Fellowship, 2007-2008

  • DOE Computational Science Graduate Fellowship, 2003-2007