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Cover Profile: Revisiting Bond Breaking and Making in EuCo2P2
Invited for the cover of Chemistry a European Journal,the groups of Michael Shatruk at Florida State University, Andrei Rogalev at the European Synchrotron Radiation Facility, and colleagues depict their work demonstrating that formal charges become inadequate when one deals with metallic systems with delocalized bonding.
On the rise: Six years of scientific success
Florida State University researchers Biwu Ma, Kenneth Hanson and Hanwei Gao have a few things in common. Several things, actually.
Chemistry in Pictures: All hail halides
C&EN Chemistry in Pictures showcasing emission from CsPbBr3 nanocrystals created by the Nienhaus group.
Lighting the Way to Removing Radioactive Elements
The Hanson research group performs a photochemical separation of ruthenium and iron using blue and red light, respectively.
Top-Down Mass Spectrometry in Clinical Diagnosis? A Potentially Less Invasive Approach for Plasma Cell Disorders Classification
The Marshall group has exploited 21 tesla Fourier transform ion cyclotron resonance mass spectrometry to benchmark top-down MS/MS de novo sequencing of M protein from serum.
Light-activated chirality switch directs enantiomeric excess
FSU researchers use light to transform a racemic ligands into one of its enantiomers by way of excited state proton transfer.
Breaking new ground in study of malignant pediatric brain tumor
The Sang group identified a series of cancer-causing driver gene mutations and discovered that medulloblastoma is perhaps an even more dynamic and variable tumor than expected.
FSU researchers studying why breast cancer avoids detection
FSU researchers analyzed data from more than 1,000 breast cancer patients and found that breast cancer behaves differently than other cancers that are currently treated with immunotherapy.
Chemistry in Pictures: Crystalline Dream
C&EN Chemistry in Pictures is showcasing Pam Knoll’s polarization microscopy image of Sr-based biomorphs.
AI teaches itself to identify materials – and predict new ones too
The Shatruk groups use of neural network training on 50,000 crystal structures shows promise rapidly navigating chemical element combinations.