George Karniadakis receives award highlighting 30 years of work developing computational methods to solve real-world problems.

PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

The MIT-sponsored competition encourages community approaches to developing new solutions for analyzing graphs and sparse data; PNNL has placed a winner in each year.

PNNL mechanical engineer Stephanie Johnson has been recognized by DOE’s Advanced Manufacturing Office for making a significant impact in energy-efficiency research.

PNNL engineer Srinivas Katipamula was recognized by the American Council for an Energy-Efficient Economy with a 2020 Champion of Energy Efficiency Award.

Four researchers from PNNL were recently honored for contributing to two U.S. Department of Energy Office of Energy Efficiency and Renewable Energy initiatives that support the blue economy and building-grid integration.

Ang Li and Antonino Tumeo will present hardware to balance machine learning workloads at a top computer architecture conference.

PNNL data scientist Carlos M. Ortiz Marrero has co-edited a volume that highlights work at the intersection of quantum computation and mathematics.

Sonja Glavaski and Kevin Schneider, both electrical engineers at PNNL, have been named as IEEE fellows. IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

PNNL’s Srinivas Katipamula and Nora Wang have received a Northwest Energy Efficiency Alliance award for contributing to the success of Seattle’s Building Tune-Up Accelerator Program.

A student computing security research project guided by PCSD computer scientists Ang Li and Kevin Barker placed third among dozens of entries in the student research poster session at SC19, a premier annual conference for high-performance c

Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.

PNNL researchers Jianming Lian, Karanjit Kalsi, joint appointee Wei Zhang, and former PNNL intern Sen Li recently received a patent for a market mechanism consisting of novel bidding and clearing strategies.