Results 71 to 80 of about 1,124,173 (356)
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
Advanced Functional Materials, EarlyView.DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Clouds, photolysis and regional tropospheric ozone budgets. [PDF]
, 2009 We use a three-dimensional chemical transport model to examine the shortwave radiative effects of clouds on the tropospheric ozone budget. In addition to looking at changes in global concentrations as previous studies have done, we examine changes in ...
Carver, G. D. +4 more
core +1 more source
The effect of clouds on the dynamical and chemical evolution of gas-rich dwarf galaxies
, 2009 We study the effects of clouds on the dynamical and chemical evolution of gas-rich dwarf galaxies, in particular focusing on two model galaxies similar to IZw18 and NGC1569.
Cowie +10 more
core +1 more source
A Multi-Cloud Warm-Absorber Model for NGC 4051 [PDF]
, 1999 A multi-cloud model is presented which explains the soft X-ray excess in NGC 4051 and, consistently, the optical line spectrum and the SED of the continuum. The clouds are heated and ionized by the photoionizing flux from the active center and by shocks.
Arnaud K. A. +9 more
core +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The normalized difference snow index (NDSI) is the most popular snow detection index. Due to cloud cover, it is difficult to produce complete and gap-free NDSI datasets.
Siyong Chen +4 more
doaj +1 more source
Physical conditions in CaFe interstellar clouds
, 2007 Interstellar clouds that exhibit strong Ca I and Fe I lines were called CaFe clouds. The ionisation equilibrium equations were used to model the column densities of Ca II, Ca I, K I, Na I, Fe I and Ti II in CaFe clouds.
Badnell +20 more
core +1 more source
How Many Infrared Dark Clouds can form Massive Stars and Clusters? [PDF]
, 2010 We present a new assessment of the ability of Infrared Dark Clouds (IRDCs) to form massive stars and clusters. This is done by comparison with an empirical mass-size threshold for massive star formation (MSF).
Kauffmann, Jens, Pillai, Thushara
core +2 more sources
Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy
Advanced Functional Materials, EarlyView.In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova +21 more
wiley +1 more source
Meteorologische Zeitschrift, 2020 Variability of solar surface irradiances in the 1‑minute range is of interest especially for solar energy applications. Eight variability classes were previously defined for the 1 min resolved direct normal irradiance (DNI) variability inside an hour. In
Marion Schroedter-Homscheidt +2 more
doaj +1 more source