Assistant Secretary Katie Jereza toured PNNL capabilities that translate laboratory innovation into operational and industry impact.

Researchers developed a new technique that combined mass spectrometry and label-free optical imaging to map molecular and structural changes in healthy and diseased lung tissue, providing new insight into bronchopulmonary dysplasia.

Separating quantum circuit wiring from molecular data allows researchers to more efficiently perform quantum simulations

PNNL and its partners are advancing battery energy storage projects nationwide through the Energy Storage for Resiliency Hubs initiative.

PNNL partners with businesses to test new HVAC technologies at commercial buildings to evaluate the performance of next-generation RTUs.

New partnership agreement to focus on AI, robotics, and advanced energy systems.

Novel Applications for Synchronized Power Instrumentation seeks to improve electric grid resilience, reliability, security, and affordability.

Study shows the advantages of top-town proteomics for characterizing histones.

A suite of new modeling methods gives researchers better tools to predict molecular behavior inside cavities.

PNNL addresses vulnerabilities interconnected to operational technologies by improving cybersecurity with targeted tools and trainings.

A recent article highlighted a PNNL report focused on post-quantum cryptography and electric vehicle charging infrastructure.

Connecting energy generation, electricity storage, and using sensors and control software to track load, including precommercial market marine energy generation technologies.

Structural proteomics reveal how cyanobacteria adapt to changing light.

Darío Gil, DOE's Undersecretary for Science, makes his inaugural visit to PNNL.

Researchers use multiomics to confirm role of lipid synthesis during infection, leading to model of how to restrict virus replication.

A new patent-pending technology can quickly identify refrigerant leakage in heating, cooling, and refrigeration systems.

An approach combining multiple theories increases the accuracy of quantum-based simulations without increasing computational demands.

Capturing protein structural changes in host cells exposes vulnerabilities exploited by viruses to hijack cellular machinery.

Continued studies will deepen scientists’ understanding of virus-host interactions at the molecular level and also pave the way for developing better drugs to fight emerging viruses.

Neural networks techniques enable the efficient capture of electron correlation effects in reduced-dimensionality spaces.