A PNNL team developed and used a model framework to understand the performance and structural reliability of a state-of-the-art solid oxide electrolysis cell design.

Tailoring hydrogen-based energy storage solutions to specific real-world applications.

HiSVSIM enables large-scale quantum simulations through graph partitioning.

A new testbed facility capable of testing superconducting qubit fidelity in a controlled environment free of stray background radiation will benefit quantum information sciences and the development of quantum computing.

New research shows that compressing quantum circuits decreases noise and increases the accuracy of quantum calculations.

PNNL Senior Scientist Jamie Holladay has been named a Distinguished Inventor of Battelle.

New research from PNNL results in faster and more accurate variational quantum algorithm training.

PNNL researchers studying materials to enable safe, cost-effective hydrogen storage.

Tiffany Kaspar’s work has advanced the discovery and understanding of oxide materials, helping develop electronics, quantum computing, and energy production. She strives to communicate her science to the public.

PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.

PNNL Hydrogen Safety Panel supports a fundamental hydrogen safety credential deployed through the Center for Hydrogen Safety.

Williams will present on quantum technologies at The Economist’s Commercialising Quantum conference and the Quantum Tech Congress.

Fu brings expertise in identifying defects in quantum materials to the PNNL.

Morris Bullock has led PNNL's pursuit of the efficient conversion of electrical energy and chemical bonds through control of electron and proton transfers.

Researchers have discovered a news way to control the quantum behavior of semiconductor materials with laser light. The discovery could lead to a new kind of quantum material.

Dr. Joseph Williams explained the importance of quantum technologies in space at the University of Washington.

Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

Materials scientist Arun Devaraj is committed to improving the quality and performance of metals with a big assist from atom probe tomography.

Quantum simulators help navigate noise on GPU-based HPC systems.

PNNL researchers utilized the Peeters-Devreese-Soldatov formulation to improve the accuracy of calculations for quantum chemistry.