Bridges-2 Analysis Suggests Why Some Oil Wells Run Dry Early
Newswise — Penn State Team Discovers Hidden Structures, Invisible in Traditional Seismic Scans, that Block Pumping of Oil…
DOE’s Office of Science Is Now Accepting Applications for Graduate Student Research Awards
Washington, D.C. – The U.S. Department of Energy’s (DOE) Office of Science is pleased to announce that the…
Study Unearths Rich Data for Better Bioenergy Crops
BYLINE: Stephanie Seay Newswise — Scientists at the Department of Energy’s Oak Ridge National Laboratory conducted a meticulous…
Risk-aware optimal dispatch strategy for resource aggregators: Balancing renewable energy and building flexibility
A new study published in Engineering presents a risk-aware optimal dispatch strategy for resource aggregators, aiming to address the challenges…
The Unending War in Ukraine
BYLINE: By Taylor McNeil, Tufts Now Newswise — With attention on conflicts in the Middle East and domestic…
Kevin Roccapriore: The quantum leap of startup AtomQ
Newswise — From the world of research papers and cubicles, Kevin Roccapriore has made a leap into the…
Simple Rules Govern Soil Microbiome Responses to Environmental Change
Newswise — Just like any living organism, the soil has its own metabolism. Plants, worms, insects, and most…
Transfer Printing Technology for Lithium Protective Layers to Prevent Battery Explosions
Newswise — A research team in South Korea has developed a breakthrough transfer printing technology that forms protective…
3D-printed steel capsules endure nuclear reactor testing
BYLINE: Liz McCrory The Department of Energy’s Oak Ridge National Laboratory set a new milestone in nuclear component…
New Research Expands Laser Technology
Newswise — In a first for the field, researchers from The Grainger College of Engineering at the University…
Data-model fusion: applications of key technology in smart manufacturing and digital engineering
In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial…
New machine learning project will advance real-time seismic monitoring across energy industries
A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies…