JANUARY 26, 2026 Article DOE’s Under Secretary for Science Visits PNNL, Highlights Lab’s Role in AI-Driven Discovery Darío Gil, DOE's Undersecretary for Science, makes his inaugural visit to PNNL. ( Read More )
JUNE 2, 2025 Research Highlight Neural Networks for Evaluating Effective Interactions Neural networks techniques enable the efficient capture of electron correlation effects in reduced-dimensionality spaces. ( Read More )
MAY 23, 2025 Research Highlight Unleashing Quantum Computing for Quantum Chemistry from Constrained Optimization Developing a new scheme to more efficiently solve quantum chemistry problems. ( Read More )
DECEMBER 10, 2024 Research Highlight Polaritonic Chemistry with the Density Matrix Renormalization Group Method Pacific Northwest National Laboratory researchers developed a new theoretical method for studying highly correlated systems. ( Read More )
OCTOBER 22, 2024 Article Friction Stir Processing Gets a Boost from New Machine Learning Model PNNL researchers have developed a new, physics-informed machine learning model that accurately predicts how heat accumulates and dissipates during friction stir processing. ( Read More )
JUNE 24, 2024 Article Enabling Nuclear Physics Discoveries with Quantum Computing A new approach validates quantum algorithms for low-energy nuclear physics applications ( Read More )
