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.

PNNL’s Fatih Evren receives an ASHRAE best paper award for buildings-related research.

With her broad experience and background, Starr Abdelhadi was selected from many applicants to join the Women in IT Networking at SC (WINS) program for Super Computing 2024 (SC24).

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

The Building and Environment journal named Drgoňa’s co-authored work one of 2022’s best papers.

PNNL’s Reid Hart and Bing Liu have earned individual Champions of Energy Efficiency in Buildings awards from the American Council for an Energy-Efficient Economy.

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.

Sam Rosenberg, a data research scientist in the Energy and Environment Directorate at PNNL, has been appointed voting member of the Regional Technical Forum for the Northwest Power Conservation Council.

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.

Electrical engineer Aditya Ashok and cybersecurity researcher Thomas Edgar win best paper award for their work to create a new high-fidelity dataset that will help advance cybersecurity solutions for critical infrastructure protection.

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.

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