
department of energy
Senate Confirms Texas A&M Engineer For Key Nuclear Safety Post
April 7, 2022 • 3 min. readMarvin Adams will leave the university after 30 years of teaching, research and national security service.
Bioenergy Sorghum’s Roots Can Replenish Carbon In Soil
Jan. 5, 2022 • 5 min. readA new Texas A&M AgriLife study shows the annual crop can sequester atmospheric carbon dioxide.
Biden Nominates Texas A&M Engineer For Vital Nuclear Security Post
Dec. 17, 2021 • 4 min. readMarvin Adams, top academic expert on the science of the nuclear stockpile, will leave the university after almost 30 years.
Texas A&M Leads $2 Million Traineeship Effort For DOE National Isotope Program
Dec. 10, 2021 • 5 min. readThe two-year grant will fund a first-of-its-kind workforce development collaboration for isotope R&D, production and processing.
DOE-Funded Research Project To Efficiently Reduce Massive Scientific Data
Oct. 5, 2021 • 4 min. readA Texas A&M team led by Byung-Jun Yoon has been awarded $2.4 million to develop new computational techniques to reduce the size of data sets generated in scientific user facilities.
Physics-Based Instruction Leads To Huge Success For Geothermal Drilling
June 11, 2021 • 6 min. readDepartment of Energy funding is helping Texas A&M researchers refine drilling methods and create cost-saving models for future geothermal energy companies.
TEES will lead a research and development consortium for the U.S. government.
Framework Could Support More Reliable Electric Power Distribution Systems
April 6, 2021 • 5 min. readTexas A&M researchers are developing a reliability framework to help utility companies better prepare for uncertainties that may arise.
Underground Noise Reveals Fracture Pathways Needed For Energy Production
March 30, 2021 • 5 min. readA Texas A&M graduate student interprets passive sounds from fractured rock to catalog and map the subsurface channels needed for geothermal energy.
Positive Reinforcements Help Algorithm Forecast Underground Natural Reserves
Feb. 23, 2021 • 5 min. readTexas A&M researchers designed a new reinforcement-based system that automates the prediction of subsurface environments.