Erik Lentz and Christian Boutan will research quantum information science-enabled discoveries in high energy physics with these awards.

Bylaska and team will aim to make computational design of functional materials more targeted, impactful, and user friendly through this award.

The Department of Energy’s Vehicle Technologies Office recognized Livewire’s outstanding teamwork and technical expertise.

PNNL’s Nell Byler and Elise Bishoff shared their computer vision expertise with high school students at the National Science Bowl Science Day

The papers were featured in the security and quantum sessions at the 2023 International Symposium on Computer Architecture.

Daniel Deng, mechanical engineer and Laboratory Fellow at PNNL, has been named 2022 PNNL Inventor of the Year.

Sue Southard's one thousand dives as a PNNL staff member leave a ripple effect on efforts to keep our ocean healthy, our economy thriving, and our waters safe.

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.

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

Anika Halappanavar’s research into COVID-19 misinformation earned her recognition by the Washington State Academy of Sciences as one of the state’s top high school researchers.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

Williams brings his deep understanding of the technology industry and PNNL’s quantum and national security expertise to this Technical Advisory Committee.

Molly Grear, an ocean engineer in the Coastal Sciences Division at PNNL, recently helped middle school summer science camp students from Blatchley Middle School in Sitka, Alaska, design their own energy wave converters.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

When training for chemical and biological threats, in-person exercises and drills can be very limited due to the hazardous nature of the agent.

PNNL senior electrical engineer, Amy Qiao, tapped to serve IEEE Photonics Society Emerging Technologies Task Force.

PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.