The pathway of oxygen ion movement can be controlled based on the initial structure and substrate of strontium iron oxide thin films.

PNNL researchers demonstrated a simple method to create stable, identical nanoparticles of PdTe2-like composition, which is known to be superconducting, on a WTe2 TMD support.

Researchers created the first open-source database of exotic materials eyed for use in quantum applications.

A combined experimental and theoretical study identified multiple interactions that affect the performance of redox-active metal oxides for potential electrochemical separation and quantum computing applications.

Thin oxide films play an important role in electronics and energy storage. Researchers in PNNL’s film growth laboratory create, explore, and improve new thin oxide films.

The work by the team at PNNL takes a critical step in leveraging ML to accelerate advanced manufacturing R&D, specifically for manufacturing techniques without access to efficient, first-principles simulations.

Direct visualization of metal atoms during shear deformation has broad applications from battery design to vehicle lightweighting.

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.

A new extrusion process eliminates pre-heating to provide significant energy savings during production of extruded aluminum alloys.

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

PNNL researchers created a model that helps materials scientists not only predict what is, but what could be.

The first-ever simulation of aluminum conductivity offers a recipe for an inexpensive, lightweight alternative to copper.

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.

A team of researchers developed a simulation approach to identify how atomic structures can affect the phonon transport of energy and information in quantum systems near absolute zero temperatures.

Artificial intelligence-based decision tool enables grid operators to respond more quickly and effectively to grid emergencies.

Molecular self-assembly expert Chun-Long Chen describes the challenges and opportunities in bio-inspired nanomaterials in a special issue of Chemical Reviews.

High-performance imaging provides a cornerstone for innovation at the Energy Sciences Center opening at PNNL.

Developed at PNNL, Shear Assisted Processing and Extrusion, or ShAPE™, uses significantly less energy and can deliver components like wire, tubes and bars 10 times faster than conventional extrusion, with no sacrifice in quality.