Results 101 to 110 of about 125,496 (300)
"Willingness to Pay for Electric Vehicles and their Attributes" [PDF]
This article presents a stated preference study of electric vehicle choice using data from a national survey. We used a choice experiment wherein 3029 respondents were asked to choose between their preferred gasoline vehicle and two electric versions of ...
George R. Parsons +3 more
core
SI‐bioATRP in Mesoporous Silica for Size‐Exclusion Driven Local Polymer Placement
Advanced Functional Materials, EarlyView.An enzyme‐catalyzed surface‐initiated atom transfer radical polymerization (SI‐bioATRP) of an anionic monomer within mesoporous silica particles, using hemoglobin as a catalyst, allows for controlling the location of the formed polymer via size‐exclusion effects between the nanopores and the biomacromolecules, thereby opening routes to functional ...
Oleksandr Wondra +8 more
wiley +1 more source
EnergiesGiven the widespread adoption of electric vehicles, their charging load is influenced not only by vehicle numbers but also by driving and parking behaviors.
Hengyu Liu +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.PTFE nanoparticle–anchored rGO (rGO@PTFE) for scalable solvent‐free fabrication of ultra‐thick, high‐density cathodes, achieving high conductivity (9.55 S cm−1), lithium transference (0.73), and improved wettability, is developed. The resulting cathode delivers 15.2 mAh cm−2 areal and 563 mAh cm−3 volumetric capacities, with full cells exhibiting 637 ...
Juhee Yoon +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Diance yu yibiaoThe charging and discharging demand of electric vehicles is closely related to the load balance of the power grid. In order to effectively alleviate the load pressure caused by the disorderly connection of large-scale electric vehicle (EV) to the power ...
MA Li +3 more
doaj +1 more source
Plug-in vs. Wireless Charging: Life Cycle Energy and Greenhouse Gas Emission Analysis of an Electric Bus System [PDF]
, 2015 Vehicle electrification through implementation of electric vehicles (EVs) with rechargeable batteries has the potential to significantly reduce the greenhouse gas emissions compared to a fleet of internal combustion engine vehicles (ICEVs).
Bi, Zicheng (Kevin)
core
Evaluation Electric Vehicle Charging Infrastructure Policies
, 2020 Transport and ...
openaire +4 more sources
Advanced Functional Materials, EarlyView.Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas +13 more
wiley +1 more source