Results 121 to 130 of about 2,034,219 (300)
A Review of Cooling Technology Methods for Electric Vehicle Battery Thermal Management Systems
The global issues of air pollution and the energy crisis present significant potential for the development of electric vehicles. However, modern power batteries fall short of conventional internal combustion engine vehicles in several categories ...
Mohamed Mohamed +2 more
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li +15 more
wiley +1 more source
Maximum economic market potential of PHEV and BEV vehicles in Germany in 2015 to 2030 under different policy conditions [PDF]
The paper investigates an economic market potential for Plug-in Hybrid- and Battery Electric vehicles considering different categories of customers in Germany from 2015 to 2030.
Kihm, Alexander +3 more
core
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
New business models for electric cars: A holistic approach [PDF]
Climate change and global resource shortages lead to a rethinking of classic individual mobility basing on combustion engines. As a result of technological improvements first electric vehicles are introduced and further market penetrations can be ...
Lerch, Christian +2 more
core
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Rapid virtual prototyping of electric vehicles using DQ behavioral model of a brushless DC motor
This paper presents a system level for the effective and rapid design and evaluation of a complete electric vehicle system. Several critical components are examined including the mechanical model of the vehicle, the electric motor (with its associated ...
Brown, Andrew D. +2 more
core +1 more source
Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets? [PDF]
Lal A, You F.
europepmc +1 more source

