Early Career Researchers Receive High Energy Physics Awards
Erik Lentz and Christian Boutan will research quantum information science-enabled discoveries in high energy physics with these awards.
Neural Networks for Evaluating Effective Interactions
Neural networks techniques enable the efficient capture of electron correlation effects in reduced-dimensionality spaces.
PNNL Partnership Produces Purest-Ever Tungsten
In the search for rare physics events, extremely pure materials are essential. A partnership between PNNL and Ultramet has led to tungsten with low contamination from other elements.
Energy on Demand: Learning from Nature’s Catalysts
With quantum chemistry, researchers led by PNNL computational scientist Simone Raugei are discovering how enzymes such as nitrogenase serve as natural catalysts that efficiently break apart molecular bonds to control energy and matter.
A Unified Mathematical Theory for Barren Plateaus
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.
Quantum Computing Bootcamp 2021
PNNL's first Quantum Computing Bootcamp was a series of 10 lectures on fundamental topics in quantum computing. This lecture series has ended, but stay tuned for future Bootcamps.
Energy Sciences Center
Scheduled for completion in 2021, a new Energy Sciences building will serve as a focal point for the synergistic research being conducted among PNNL scientists and academic partners
Enabling the Data-Driven Future of Microscopy
Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.