A PNNL-developed computational framework accurately predicts the thermomechanical history and microstructure evolution of materials designed using solid phase processing, allowing scientists to custom design metals with desired properties.
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.
A paper from PNNL and Southern California Edison describing new methodologies for assessing electric vehicle impacts to the grid was selected as a best paper by IEEE.
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 will demonstrate how new technologies, innovative approaches and partnering with others can lead to net-zero emissions and decarbonization of operations.
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.
