PNNL

Richard Jacob

Leah Hare

Electron Microscopy: Working With Us

AI Powers Ability to Represent Microbial Processes in Ecosystem Models

Using an AI approach to combine outputs from microbial models and apply them as inputs to reactive-transport models reduces computational time by several orders of magnitude.

Functional Chemogeography Helps Explain Organic Matter Persistence in Ecosystems

Dynamic organic matter traits tied to reactions can surpass static descriptors in explaining decomposition rates and responses to environmental change.

A Machine Learning Approach to Replace both Manual Methods and “Top Down” Estimates of Riverbed Grain Size Distributions

Artificial intelligence helps analyze images and reduce uncertainty for a key measure of watershed function.

Improved Lead-212 (Pb-212) / Bismuth-212 (Bi-212) Generator Systems

Media Contacts

Accelerating Coastal Research with a High-Performance Data Processing Pipeline

A high-performance, scalable pipeline transforms raw high frequency coastal sensor data into research-ready datasets.

Establishing Open Access to Near Real-Time Environmental Sensor Data in Two Distinct, Coastal Regions

Over 115 million environmental observations are now publicly available to enhance research of coastal forest ecosystems.