PNNL’s Center for Cloud Computing is addressing challenges in data management and hybrid cloud solutions with industry and academic partnerships.

In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.

New apps help researchers with statistical analyses of data.

Pacific Northwest National Laboratory launches the Training Outreach and Recruitment for Cybersecurity Hydropower program at the University of Texas at El Paso.

A team of researchers from PNNL provided technical knowledge and support to test a suite of techniques that detect genetically modified bacteria, viruses, and cells.

The report explores how research in planning, data, policy, and technology can address some of the underlying challenges facing water power systems.

Developed with community input, the new Hydropower Vision Roadmap lays out a path to achieve a shared vison for modern hydropower by 2050.

A team of researchers at PNNL has created a publicly available Hydropower eLibrary to improve access to information that could help streamline the FERC environmental review and licensing process.

PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics.

PNNL researchers combined deep operator networks with spectral methods to efficiently and accurately solve complex equations.

HiSVSIM enables large-scale quantum simulations through graph partitioning.

Researchers studied water cycling to assess the achievability of net-zero water usage at military installations in the Pacific Islands.

New research simulates power demand, supply, and cost in a hotter, drier climate.