Vegetation type influences particulate organic matter storage along a low Arctic vegetation gradient. [PDF]
Sauerland L +5 more
europepmc +1 more source
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Using colored dissolved organic matter fluorescence to trace Pacific-derived water in the Eastern Canadian Arctic. [PDF]
Dmitrenko IA +7 more
europepmc +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Thermal cracking for upgrading medium-low maturity shale oil: evolution of organic matter occurrence. [PDF]
Jinmei B +4 more
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Influence of mimosa (Acacia mearnsii) tannin encapsulated with sunflower oil on rumen fermentation, methane and in vitro organic matter digestibility. [PDF]
Ibrahim SL, Adejoro FA, Hassen A.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Soil Carbon and Organic Matter Fractions Under Nitrogen Management in a Maize-Soybean-Cover Crop System in the Cerrado. [PDF]
Jesus DR +11 more
europepmc +1 more source
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter +8 more
wiley +1 more source

