MAaD Science Seminar: Nanosized Hybrid Additives for Improved Mechanical, Electrical, and Thermal Behavior of Carbon Fiber Reinforced Composites
The Materials Aging and Detection (MAaD) Science Seminar Series presents Dr. Ranji Vaidyanathan from Oklahoma State University.
New Deep Neural Network Could Speed Calculations in Climate Models
Researchers from Pacific Northwest National Laboratory created and embedded a physics-informed deep neural network that can learn as it processes data.
Using the Metaproteome to Uncover the Microbiome of the Complex Soil Environment
Scientists can now generate a protein database directly from proteomics data gathered from a specific soil sample using a digital tool and deep learning computer model called Kaiko.
Increasing Catchment Size Enhances the Variety of Functions Provided by Organic Matter in Rivers
The diversity and function of organic matter in rivers at a large scale are influenced by factors, such as the types of vegetation covering the land, the energy characteristics, and the breakdown potential of the molecules.
Science for Security
PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5.