PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.

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

The multi-year project funded by DOE’s High Energy Physics program will focus on using machine learning to prevent power outages.

New computational modeling research provides insights into biological processes and metabolic regulation.

PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.

Erol Cromwell and Yan Shi, researchers at PNNL, used their backgrounds in software engineering to provide a platform for atmospheric data analysis.

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.

By combining state-of-the-art computational and experimental approaches, researchers have begun to resolve the effects of solvent molecules on electron transfer.

PNNL cybersecurity expert was invited to join panel of accomplished cybersecurity leaders to mark International Women's Day.

Niri Govind and Amity Andersen co-hosted a workshop to explain how to use theory and modeling in the interpretation of X-ray absorption spectroscopy data.

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

Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.

(ISC)², the world’s largest nonprofit association of cybersecurity professionals, elected PNNL cybersecurity expert Lori Ross O’Neil as vice chairperson of the board of directors.

Sriram Krishnamoorthy, a computer scientist at PNNL, collaborated with a University of Utah team on a student computing research project that won Best Student Paper at SC20.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

Joseph Williams, PNNL Seattle Research Center director, was elected chair of the Institute of Electrical and Electronic Engineer’s Seattle section.

The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.

Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.