Results 171 to 180 of about 49,754 (292)
Loading ion exchange resins with uranium for HTGR fuel kernels
K.J. Notz, C. W. Greene
openalex +2 more sources
In the H‐type electrolytic cell, carbon dioxide is reduced to acetic acid via electro‐microbial catalysis. The simply processed acetic acid is further converted through biological fermentation into high‐value‐added products, including acrylic acid, L‐lactic acid, and β‐alanine.
Kaixing Xiao +8 more
wiley +1 more source
Adsorption Mechanisms of CO2 on Macroporous Ion-Exchange Resin Organic Amine Composite Materials by the Density Functional Theory. [PDF]
Li Y, Liu X, Guo Q.
europepmc +1 more source
Separation and Purification of Biogenic 1,3-Propanediol from Fermented Glycerol through Flocculation and Strong Acidic Ion-Exchange Resin. [PDF]
Mitrea L +3 more
europepmc +1 more source
Thanks to the appropriate structure preorganization of an N3O2‐pentadentate planar ligand, 2,6‐bis(2‐hydroxyphenylmethylaminomethyl)pyridine (H2saldamp) exhibits the strongest coordination affinity to UO22+ (log βU = 33.60) compared to ligands developed for uranium harvesting from seawater to date, as well as good separability of UO22+ from other metal
Ryuto Nabata +2 more
wiley +1 more source
Removal of Cu (II) by ion exchange resin and its re-utilization of the residual solution from the distilled Lycium barbarum wine. [PDF]
Dang Y, Zhang QA, Zhao ZH.
europepmc +1 more source
Bridging Scales in Flexible Perovskite Solar Cells: Mechanisms, Interfaces, and Applications
This perspective focuses on the advancement of flexible perovskite solar cells (f‐PSCs) from the energetic point of view, and summarizes the mechanisms, material characteristics, device performance, and failure mechanisms across the microscopic, mesoscopic, and macroscopic scales through mechanical energy dissipation theory.
Yan Wang +8 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

