CDI Capability: Few-Shot Machine Learning
A new few-shot machine learning (ML) approach to classify and generate statistical insight into materials microstructures using just a few examples.
Boettcher, Idrobo, and Xiao Begin PNNL Joint Appointments
The Physical and Computational Sciences Directorate welcomes three joint appointees whose research focuses on topics related to materials science.
Congratulations to NNSA Excellence Award Winners
Two PNNL teams have been recognized for their work on safe, secure radioactive material shipping.
Sebastien Kerisit
Dr Sebastien Kerisit is a computational scientist in PNNL's Geochemistry group.
Mal Soon Lee
Mal-Soon Lee has been working in the field of computational physics and chemistry where she employs ab initio electronic structure calculations/ab initio molecular dynamics simulations to understand the properties of complex materials.
Machine Learning Techniques Speed Up Aircraft Aerosol Mass Spectrometer Analyses
A new capability facilitates source apportionment of organic aerosols in real time.
Isotope Effects Alter Supercooled Water Properties
Structural changes in heavy water occur at different temperatures than in standard water.
First Responder Showcase Highlights PNNL Opioid Detection Solutions
The Department of Homeland Security Science and Technology Virtual First Responder Capitol Hill Showcase highlighted PNNL work in fentanyl detection standards and database libraries.
Organization is Key! The Role of Project Coordination in Research with Nicole Loosveldt
Triton project coordinator Nicole Loosveldt supports marine energy environmental monitoring technology development projects for marine energy.