2018 | U.S. DOE Office of Science (SC)

Cellular Energy Crisis

An Arizona State University scientist mines supercomputer simulations of protein dynamics for biological energy-conversion principles.

Uncovering a Missing Link from Methane to Methanol

Scientists at Northwestern University and Argonne Lab have demonstrated a new way to activate methane with MOFs, potentially transforming it into something more valuable.

ORNL Researchers Use AI to Improve Mammogram Interpretation

In an effort to reduce errors in the analyses of diagnostic images by health professionals, a team of researchers from the Department of Energy’s Oak Ridge National Laboratory has improved understanding of the cognitive processes involved in image interpretation.

Steady as She Flows

Aiming to boost aircraft safety, speed and fuel efficiency, engineers turn to Argonne’s Mira supercomputer to study supersonic turbulence.

Scientists Create Continuously Emitting Microlasers With Nanoparticle-Coated Beads

An international team of scientists at the U.S. Department of Energy’s Lawrence Berkeley Laboratory (Berkeley Lab) has found a way to convert nanoparticle-coated microscopic beads into lasers smaller than red blood cells.

Department of Energy Selects 84 Scientists to Receive Early Career Research Program Funding

The Department of Energy (DOE) has selected 84 scientists from across the nation – including 30 from DOE’s national laboratories and 54 from U.S. universities – to receive significant funding for research as part of the DOE Office of Science’s Early Career Research Program.

Scientists Use Neutrons to Take a Deeper Look at Record Boost in Thermoelectric Efficiency

Neutron facilities at Oak Ridge National Laboratory are aiding scientists in research to boost the power and efficiency of thermoelectric materials. These performance increases could enable more cost-effective and practical uses for thermoelectrics, with wider industry adoption, to improve fuel economy in vehicles, make power plants more efficient, and advance body heat–powered technologies for watches and smartphones.

Berkeley Lab Researchers Use Machine Learning to Search Science Data

A team of researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via a web-based search engine for scientific data, called Science Search, that the Berkeley team is building.

Scientists Isolate Protein Data from the Tiniest of Caches – Single Human Cells

Scientists from the Department of Energy's Pacific Northwest National Laboratory, working with counterparts at the University of Rochester Medical Center, have obtained a slew of key information about proteins, the molecular workhorses of all cells, from single human cells for the first time.

Fermilab Develops Forefront Accelerator Components for the High-Luminosity LHC

A groundbreaking ceremony was held on June 15th to celebrate the start of civil engineering work for a major upgrade to the Large Hadron Collider at CERN in Geneva, Switzerland. When complete, the High-Luminosity LHC (HL-LHC) will produce five to seven times more proton-proton collisions than the currently operating LHC, powering new discoveries about our universe.

Faster, Cheaper, Better: A New Way to Synthesize DNA

In what could address a critical bottleneck in biology research, researchers at the Department of Energy’s Joint BioEnergy Institute (JBEI), based at Lawrence Berkeley National Laboratory (Berkeley Lab), announced they have pioneered a new way to synthesize DNA sequences through a creative use of enzymes that promises to be faster, cheaper, and more accurate.

Department of Energy Announces $15 Million for Ecosystem and Climate Modeling Research

Today, the U.S. Department of Energy (DOE) announced $15 million in funding for 27 projects in atmospheric and ecological sciences in an effort to improve the power of Earth system models to predict weather and climate.