PNNL Nabs #1 Particle Pushers
PNNL global model treatments reveal much larger climate impact from burning vegetation and biofuel emissions
New research led by Pacific Northwest National Laboratory shows, for the first time, that burning vegetation and bio-based fuel are the largest source of particle-making vapors in the atmosphere. The discovery translates to an order-of-magnitude change in the impact of secondary organic aerosols on the Earth's energy balance.
New NMR Tool Helps Scientists Study Elusive Battery Reaction
PNNL scientists developed a
powerful nuclear magnetic resonance (NMR) technique to "see" and understand the
electrochemical reactions taking place inside a high-storage-capacity, lithium-germanide
battery produced with colleagues from the National University of Singapore.
Seeing inside a battery with a unique NMR "camera"
The Reality of Problem Solving
Algorithm accounts for uncertainty to enable more accurate modeling
Today, numerical models routinely simulate physical system behaviors in scientific domains—many within DOE’s critical mission areas. However, because of incomplete knowledge about the systems being simulated, parametric uncertainty often arises, resulting in models that deviate from reality. To remedy this, PNNL’s Weixuan Li and Guang Lin from Purdue University have proposed an adaptive importance sampling algorithm that alleviates the burden caused by computationally demanding models. Using test cases, they demonstrated that the algorithm can effectively infer model parameters from any direct/indirect measurement data through uncertainty quantification, improving model accuracy and enhancing computational efficiency.