Understanding Dissolution Anisotropy in Metal Oxides
Varying environmental conditions enabled researchers to quantitatively control the dissolution of metal oxide nanorods.
Solvent-Treated Zirconium-Based Nanoporous UiO-66 Metal-Organic Frameworks for Enhanced CO2 Capture
Predicting Catalyst Degradation with Machine Learning
Robert Rallo from Pacific Northwest National Laboratory will direct a machine learning thrust for a new Department of Energy-funded project led by SLAC National Accelerator Laboratory.
Tumeo Takes Computational Chemistry to the Extremes
Tumeo will lead the ChemComp project, which was awarded for Exploratory Research in Extreme Scale Science
A Neutral Red-Based System Enables Highly Efficient Direct Air Capture
Researchers designed a new, highly efficient, stable redox-active material from neutral red dye that can efficiently capture CO2 from air.
Heavy Metal Separation through Ion Electrosorption at an Assembled Ionic Liquid-Water Interphase
A novel electrode functionalization strategy enables efficient removal of toxic heavy metals from wastewater.
Elke Arenholz Named IEEE Fellow
Physicist Elke Arenholz’s contributions to x-ray magnetic spectroscopy led to her elevation to Fellow status by the IEEE.
Separating Critical Materials from Dissolved Batteries
A simple gel-based system separates metals ions from a model solution of dissolved battery electrodes without the need for specialty chemicals, membranes, or toxic solvents.
Developing Data Science Approaches for Nanoparticle Synthesis
Machine learning methods and data science can uncover hidden patterns in nanoparticle synthesis conditions and property outcomes.