APRIL 2, 2026 Research Highlight Advancing Predictive Theories for Cavity-Modulated Molecular Systems A suite of new modeling methods gives researchers better tools to predict molecular behavior inside cavities. ( Read More )
FEBRUARY 2, 2026 Article Secretary Wright Celebrates Scientific Innovation at Pacific Northwest National Laboratory Secretary Wright visited PNNL's campus in Richland, Washington, late last year to meet with innovators in chemistry, biology, computing, and more. ( Read More )
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 )
