Zeli Tan, PhD
Zeli Tan conducts studies to investigate the impacts of land-river/lake-ocean interactions on global biogeochemical cycles using models, remote sensing, and machine learning.
Amanda Lines
IDREAM Research
Characterizing a Key, Elusive Copper Hydride Intermediate
Research provided definitive spectroscopic characterization, reactivity, and deactivation of a reactive monomeric diphosphine-copper hydride intermediate.
New Life for Used Nuclear Fuel
PNNL researchers are advancing AI-assisted nuclear fuel recycling to tap more than 90% of the energy potential left in used fuel, reduce waste and support secure, cost-effective next-generation reactors.
Improving the Prediction Ability of Spiking Neural Networks
Researchers showed that spiking neural networks can be accurate for regression problems, opening opportunities for efficient neuromorphic computing.
How Enzymes Choose Left- or Right-Handed Products
By selectively stabilizing either a right- or left-handed helical pose of its substrate, an enzyme tunes the final product.