Decoding Protein Interactions with Domain-Aware Machine Learning
Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.
A New Look at One of the Most Abundant Particles in the Universe
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
Enhanced Detection of Nuclear Events, Thanks to Deep Learning
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams
PNNL Joins Science Leaders on National Stage in Seattle
PNNL researchers and professional staff led discussions ranging from biothreats and climate change to science careers at the 2020 annual meeting of the American Association for the Advancement of Science, held this year in Seattle.
PNNL Scientists Defend Against New Threats like Coronavirus
Combining its strength in biological sciences and data analytics, researchers at the Department of Energy's PNNL are working to enable a quick response to a biological incident — whether intentional, accidental or natural.
PNNL, Verizon bring 5G to National Laboratory
Verizon recently announced a partnership that will make Pacific Northwest National Laboratory the U.S. Department of Energy’s first national laboratory with Verizon 5G ultra wideband wireless technology.
New Method for Automated Control Leverages Advances in AI
Embedding the known physics of the system to be controlled in the AI model of the system is data efficient and provides safety guarantees.