Expanding Fungal Diversity, One Cell at a Time
A team led by researchers at the U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility, has developed a pipeline to generate genomes from single cells of uncultivated fungi.
Read more about Expanding Fungal Diversity, One Cell at a TimeHP-CONCORD Paves the Way for Scalable Machine Learning in HPC
A team of Berkeley Lab researchers has demonstrated how a new parallel algorithm called HP-CONCORD can help address some of the most challenging problems in data-driven science.
Read more about HP-CONCORD Paves the Way for Scalable Machine Learning in HPCMaking a Movie of Nanocrystals' Structural Evolution
Combined ultrafast snapshots suggest that the crystal symmetry of copper sulfide nanocrystals changes due to interactions between electrons and atoms vibrating in the crystal lattice—an understanding of which could help scientists optimize the functionality of superconductors, magnetic materials, and other strongly correlated systems.
Read more about Making a Movie of Nanocrystals' Structural EvolutionALCF Selects New Data Science Projects
The Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, has selected four new projects to continue its ALCF Data Science Program (ADSP). These projects will utilize machine learning, deep learning, and other artificial intelligence (AI) methods to enable data-driven discoveries across scientific disciplines.
Read more about ALCF Selects New Data Science ProjectsUEC Profile: Postcards from the Clouds
One scientist, inspired early by world travel and the power of tropical storms, uses radar to investigate how large convective systems organize.
Read more about UEC Profile: Postcards from the CloudsPreparing for a Sequence Data Deluge
Accepted 2019 JGI Community Science Program proposals requested terabases of sequence data. Over the summer, the U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility, set an “institutional best” record by sequencing 20.4 trillion bases (Terabases or Tb) in a single month in Walnut Creek, California.
Read more about Preparing for a Sequence Data Deluge"Choosy" Electronic Correlations Dominate Metallic State of Iron Superconductor
Two families of high-temperature superconductors (HTS)—materials that can conduct electricity without energy loss at unusually high (but still quite cold) temperatures—may be more closely related than scientists originally thought.
Read more about "Choosy" Electronic Correlations Dominate Metallic State of Iron SuperconductorQuantum Leap
As part of the DOE Office of Science Quantum Information Science-Enabled Discovery (QuantISED) program, a consortium of three institutions under the leadership of Fermilab scientist Alexander Romanenko has been awarded $3.9 million over two years to further SRF technology for quantum science, potentially boosting the processing speed and storage capacity of quantum devices, including quantum computers and sensors.
Read more about Quantum LeapComing Soon to Exascale Computing: Software for Chemistry of Catalysis
The U.S. Department of Energy’s Ames Laboratory is launching a four-year, $3.2 million project to develop software that will bring the power of exascale computers to the computational study and design of catalytic materials.
Read more about Coming Soon to Exascale Computing: Software for Chemistry of CatalysisThe Promise of Deep Grooves
A manufacturing technique that could help the semiconductor industry make more powerful computer chips began in the humblest of places — at a lunch table at the U.S. Department of Energy’s (DOE) Argonne National Laboratory.
Read more about The Promise of Deep GroovesModern Modulators for Fermilab Accelerators
New, flexible power modulators give Fermilab’s linear accelerator operators more precise control over particle beams.
Read more about Modern Modulators for Fermilab AcceleratorsSuperstars' Secrets
Supercomputing power and algorithms are helping astrophysicists untangle giant stars’ brightness, temperature and chemical variations.
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