C&EN1d
Machine learning–enhanced spectroscopy detects toxins
Combining machine learning with surface-enhanced Raman scattering spectroscopy makes the analytical tool more powerful ...
EurekAlert!1d
High-performance NMR spectrometer now in use for marine research
Dissolved Organic Matter is a mysterious and still largely unidentified combination of substances that is thought to be ...
New nanoscale technique unlocks quantum material secrets
Using a novel surface-sensitive spectroscopy method, scientists explored atomic vibrations in crystalline material surfaces near interfaces. The findings illuminate quantum behaviors that play ...
Advanced imaging and AI reveal smoking-related toxins in placenta samples
Rice University scientists and collaborators at Baylor College of Medicine (BCM) have demonstrated a new method for detecting ...
Chemistry World2d
Studying materials in action
Experiments on battery electrodes and fuel cell catalysts while they're being used - operando spectroscopy - can revolutionise our understanding of these crucial materials. Clare Sansom reports ...
Armed robbery in Revesby7d
Baylor, Rice Find Hazardous Chemicals in Placenta
Through the collaborative research efforts as part of the Superfund Research Program (SRP), scientists from Rice University and Baylor College of ...
Hosted on MSN1d
Machine Learning Applications in Predicting Protein Structures
Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...
Why weak-binding M–N–C catalysts defy expectations in oxygen reduction reactions
A new study has challenged conventional wisdom on oxygen reduction reaction (ORR) catalysts by uncovering a novel reaction ...
Baylor College of Medicine8d
Baylor, Rice research detects hazardous chemicals in human placenta with speed and precision
Through the collaborative research efforts as part of the Superfund Research Program (SRP), scientists from Rice University and Baylor College of ...