The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database.

PNNL’s data-infused approach to electron microscopes’ use in scientific experimentation will help researchers and industry interpret large data streams and drive down costs.

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 researcher Erol Cromwell uses neural networks to elucidate subsurface permeability.

Research into practical systems for chemical energy storage will be a focus at the Energy Sciences Center.

Researchers developed two solutions for air-conditioning—a novel, energy-efficient dehumidification system and a technology to detect refrigerant leaks. Both help increase energy-efficiency and reduce costs.

The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.

Bojana Ginovska leads a physical biosciences research team headed for PNNL's new Energy Sciences Center. She uses the transformative power of molecular catalysis and enzymes to explore scientific principles.

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

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

PNNL’s new Hydrogen Energy Storage Evaluation Tool allows users to examine multiple energy delivery pathways and grid applications to maximize benefits.

PNNL bioenergy expert Justin Billing has contributed expertise to a newer standard designed to ensure the safety, performance, and sustainability of prefabricated fecal sludge treatment units.

Researchers have increased the lifetime of a promising electric vehicle battery to a record level.

Sagadevan Mundree, director of the Queensland University of Technology Centre for Agriculture and the Bioeconomy, is joining PNNL as a joint appointee.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

Svitlana Volkova uses natural language processing and AI to reveal how misinformation and disinformation spread through social media.

PNNL’s Olga Marina and Shank Kulkarni were recognized for their hydrogen research at the DOE Hydrogen Program’s annual merit review June 7–11.

Researchers to design their own computer accelerators for faster analysis of large datasets.

Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.