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Three Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) researchers share what they’re most excited for in years to come.
Of all the factors affecting future snowpack, the biggest in the study were temperature and the effect of dark particles like pollution and dust.
Scientists have developed simulations of millions of galaxies to help them accurately interpret data from future state-of-the-art telescopes.
DOE has awarded a RENEW grant to the Black Hills State University to recruit students in STEM fields from diverse backgrounds.
Romit Maulik received a grant from the Department of Energy to focus on the use of machine learning to help mitigate nuclear reactor disruptions.
A multi-state team of researchers is working to learn more about how small streams can affect lakes and reservoirs that supply drinking water.
A new study by researchers at DOE's Oak Ridge National Lab looks at the influence of natural climate variability on extreme flooding in Pakistan.
The research reveals the potential for machine learning in understanding the complex behavior of quantum materials.
Fermilab will receive a total of $9 million in funding over three years for its Advanced Quantum Networks for Scientific Discovery (AQNET-SD) project.
An “electrofoil” allows for the contortion, compression, and expansion of streamlines of electric currents in the way airplane wings do air flow.