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Research Highlights
Atomic-Resolution Imaging of Bulk Samples by Scanning Electron Microscopy
Researchers demonstrated atomic-resolution secondary electron imaging in bulk crystalline samples as thick as 18 µm, using an aberration-corrected scanning transmission electron microscope.
Transforming Polymer Membranes for Better Hydrogen and CO2 Separation
This work demonstrates a scalable strategy to nanoengineer polymeric membranes for improved gas separation performance, crucial for clean H2 production and carbon capture.
Nanosheets Increase Perovskite Solar Cell Efficiency and Stability
CFN scientists and users from Stony Brook University collaborated to discover that adding 2D hexagonal boron nitride nanosheets to perovskite solar cells expedites crystallization and grain growth, improving the cells' efficiency and stability in air.
Patterning the Future of Biomineralization with Block Copolymers
Users from the University of Washington collaborated with CFN staff to use block copolymer patterns to facilitate template formation of peptide-based nanostructures, which influence the growth of enamel-like calcium phosphate.
Solar-Powered Chlorine Production: A Sea Change in Water Splitting
CFN researchers demonstrated a method to generate chlorine and hydrogen from seawater by solar water splitting.
Building a Trustworthy Nanoscience ChatBot
The Center for Functional Nanomaterials has developed a nanoscience chatbot that grounds its answers in a set of trusted documents, eliminating the tendency to fabricate facts, a behavior that renders existing chatbots unusable for science.
AI Imaging of Molecules in Complex Mixtures
CFN staff and collaborators implemented AI methods to automatically collect high-resolution atomic force microscopy (HR-AFM) images of complex petroleum-based mixtures.
Machine-Learning Accelerates Interpretation of Carbon X-Ray Spectra
A team of scientists from Lawrence Livermore and Brookhaven Labs demonstrated a robust machine learning model that predicts and interprets the X-ray absorption spectra of amorphous carbon.
Watching Metals Oxidize at the Atomic Scale
CFN users and staff discovered unexpected reaction dynamics, where oxidation and reduction occur at the same time, due to the countering effect of the gaseous carbon monoxide (CO) oxidation product.
AI Deduces Material Structure From Complex X-Ray Spectra
CFN researchers developed and demonstrated a new, semi-supervised machine learning model for discovering structure-spectrum relationships in x-ray absorption near-edge structure (XANES) spectra.
Warming up Valley Polarization
CFN staff led a collaborative team that realized room-temperature, selective population of a specific energy valley (valley polarization) in a 2D quantum material (MoS2), by coupling it to a chiral perovskite material for spin-selective charge transfer.
Rare & Efficient Energy Transfer in 2D Heterostructures
CFN staff and users co-led a study that discovered an efficient and unusual energy transfer process from a lower to higher bandgap semiconductor material in stacked heterostructures of monolayer WSe2 & MoS2.
