Research Highlights

Chlorination of 2D Silicon Revealed by NMR

Solid-state nuclear magnetic resonance (NMR) spectroscopy methods to detect chlorine atoms were developed and showed that 20% of the silicon atoms in 2D silicon nanosheets are chlorine terminated.

17O NMR Facilitates Structural Studies of Catalytic Sites

A new strategy generalized the high-resolution structural characterization of oxide-supported species.

New synthetic pathway to robust ferromagnets

CATS scientists discovered a new ferromagnetic metal, Cr1+xPt5-xP, with a high Curie temperature of 465 K and exceptionally strong magnetic anisotropy.

Crystal structure and temperature dependent graph

A preliminary feasibility study of potential market applications for non-commercial technology magnets

CMI researchers at Idaho National Laboratory led the activity for this highlight with CMI researchers at Ames National Laboratory

A preliminary feasibility study of potential market applications for non-commercial technology magnets

CMI researchers at Idaho National Laboratory led the activity for this highlight with CMI researchers at Ames National Laboratory

A preliminary feasibility study of potential market applications for non-commercial technology magnets

CMI researchers at Idaho National Laboratory led the activity for this highlight with CMI researchers at Ames National Laboratory

CMI works with industry to provide specialty training for new hire

CMI researchers at Ames National Laboratory conducted the research for this highlight

CMI works with industry to provide specialty training for new hire

CMI researchers at Ames National Laboratory conducted the research for this highlight

PEG-Grafted Silver Nanoparticles: Implications for Plasmonics and Photonics

Lamellar and hexagonal assemblies of silver nanoparticles (AgNPs) were formed by grafting them with thiolated polyethylene glycol (PEG). Novel two- and three-dimensional assemblies were achieved by controlling differences in core AgNP types and grafting densities.

Graphs and Illustrations of PEG40k-AgNPs

ML-guided discovery of ternary compounds involving immiscible elements

Novel low-energy La-Co-Pb ternary compounds involving a pair of immiscible Co-Pb elements are efficiently predicted by integrating machine learning (ML) with ab initio calculations.