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A new study uncovers technologies that could unveil energy-efficient information processing and sophisticated data security.

Join the U.S. Department of Energy (DOE) Bioenergy Technologies Office’s (BETO) Chemical Catalysis for Bioenergy Consortium (ChemCatBio) on June 12, 2024, 2:00pm – 2:45pm ET, for a webinar on artificial intelligence (AI) for catalysis. AI has the potential to play a crucial role in accelerated catalyst design, discovery, and optimization of chemical processes for reducing emissions. With the help of a range of AI tools—such as machine learning, deep learning, and large language models—researchers can uncover useful guidelines for designing new and improved catalysts, for both low- and high-technology readiness level research activities.

Scientists and engineers have achieved reproducible improvements in superconducting transmon qubit lifetimes with record values of 0.6 milliseconds.

A team led by ORNL researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date.

The prestigious honor recognizes Studier’s development of a widely used protein- and RNA-production platform.

Fifteen student teams from across the country were selected as finalists for the AlgaePrize 2023–2025 competition. As the nation’s premier algal-based student research competition, the AlgaePrize challenges students to pursue innovative ideas for the development, design, and invention of technologies within the commercial algae value chain. The 15 teams are presently conducting their proposed research and will provide research updates over the next few months. As we follow their progress, below are three facts to fuel your algae curiosity.

$31 million funding to improve power systems simulation software tools and demonstrate new business models for operators managing electric grids with large amounts of solar and wind generation, energy storage, and other distributed energy resources.

Twenty-four Semifinalists Selected for DOE Historic Carbon Dioxide Removal Purchase Prize Will Create a Just and Sustainable Framework for Scalable Carbon Management and Help Develop a Carbon Dioxide Purchasing Market to Encourage Technology Innovation

Researchers developed methods that produce intense attosecond pulses & pulse pairs to gain insights into the fastest motions inside atoms & molecules.

Researchers used machine learning to avoid tearing instabilities and used an AI control system to achieve confinement without edge-localized modes.