Results 71 to 80 of about 55,991 (302)

A Triple‐Nanoparticle System for Controlled Graphene Nanosheet Stacking: Enabling K/Na‐Ion Battery Anodes with Ultra‐Fast Charging Exceeding Petroleum Vehicle Refueling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Large‐ion (K, Na) battery systems mitigate uneven global lithium distribution, while their ability to attain recharge time shorter than refueling would remove the final barrier for secondary batteries to replace petroleum vehicles. However, their large‐ion chemistry makes ultra‐fast charging an even significant challenge.
Shukai Ding   +12 more
wiley   +1 more source

High-Resolution Monitored Data Analysis of EV Public Charging Stations for Modelled Grid Impact Validation

open access: yesApplied Sciences
As electric vehicle adoption grows, understanding the impact of electric vehicle charging on electricity grids becomes increasingly important. Accurate grid impact modelling requires high-quality charging infrastructure data.
Aaron Estrada Poggio   +4 more
doaj   +1 more source

Greenhouse gas emissions embodied in electric vehicle charging infrastructure: a method and case study of Georgia, US 2021–2050

open access: yesEnvironmental Research: Infrastructure and Sustainability, 2023
Electric vehicle (EV) charging infrastructure buildout is a major greenhouse gas (GHG) mitigation strategy among governments and municipalities. In the United States, where petroleum-based transportation is the largest single source of GHG emissions, the
John Mulrow, Emily Grubert
doaj   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni   +10 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

A Stochastic Approach to the Power Requirements of the Electric Vehicle Charging Infrastructure: The Case of Spain

open access: yesEnergies
Battery electric vehicles represent a technological pathway for reducing carbon emissions in personal road transport. However, for the widespread adoption of this type of vehicle, the user experience should be similar to that of combustion engine ...
Oscar Castillo   +2 more
doaj   +1 more source

Modelling the Development of a Regional Charging Infrastructure for Electric Vehicles in Time and Space

open access: yesEuropean Journal of Transport and Infrastructure Research, 2012
This article presents a dynamic spatial model of the development of a charging infrastructure for electric vehicles in the German metropolitan region of Stuttgart.
Johannes Wirges   +2 more
doaj   +1 more source

The Critical Role of Public Charging Infrastructure [PDF]

open access: yes, 2019
Editors: Peter Fox-Penner, PhD, Z. Justin Ren, PhD, David O. JermainA decade after the launch of the contemporary global electric vehicle (EV) market, most cities face a major challenge preparing for rising EV demand.
Fox-Penner, Peter   +8 more
core  

Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors

open access: yesAdvanced Science, EarlyView.
 . ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton   +4 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

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