Bobbie-Jo Webb-Robertson is a leader with a PhD in decision sciences & engineering systems from Rensselaer Polytechnic Institute and experience in managing complex scientific programs and line organizations. She assumed the role 3/13/23.

A PNNL-developed computational framework accurately predicts the thermomechanical history and microstructure evolution of materials designed using solid phase processing, allowing scientists to custom design metals with desired properties.

Gosline works to develop computational algorithms that are uniquely targeted for rare disease work by doing foundational research in model system development. This work can be expanded to all model systems in human disease.

Data-driven autonomous technology to rapidly design and deliver antiviral interventions targeting SARS-CoV-2 to reduce drug discovery timeline and advance bio preparedness capabilities.

A paper by PNNL researchers has been chosen as one of 32 NIEHS Papers of the Year—a top 1% honor in the research field.

Findings show method to better prepare human lung tissue for study; it represents the latest mass spectrometry-based omics advances.

New research findings published in Science Advances (November 2022), help explain the progression of Alzheimer-related dementia in each patient. The findings outline a biological classification system that predicts disease severity.

Silicone wristbands could be more convenient option for collecting exposure data.

We are pleased to welcome 20 new joint appointees to PNNL.

A paper from PNNL and Southern California Edison describing new methodologies for assessing electric vehicle impacts to the grid was selected as a best paper by IEEE.

Energy storage expert Ji-Guang (Jason) Zhang was honored by DOE with a Distinguished Achievement Award.

The first-ever simulation of aluminum conductivity offers a recipe for an inexpensive, lightweight alternative to copper.

PNNL will demonstrate how new technologies, innovative approaches and partnering with others can lead to net-zero emissions and decarbonization of operations.

Road tripping? PNNL’s researchers driving science and technology for clean, efficient and convenient transportation.

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

PNNL scientists have developed a new mass spectrometry method for in-depth analysis of proteins in individual cells.

Data from increasingly complex mass spectrometry instruments met with adaptable data analysis solution.

The scientist behind the online cartoon RedPen/BlackPen explains how humor can build bridges between scientists and the public.

Fifteen female materials scientists and engineers have collaborated on a perspective of electrochemistry in battery design.

PNNL scientists are protecting first responders and others by expanding what’s known about fentanyl, the driver of the opioid epidemic.