Results 221 to 230 of about 156,517 (300)
Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]
Li S +4 more
europepmc +1 more source
A rotational energy harvesting device that successfully reconciles high power density with mechanical durability through a hybrid sliding‐and‐bouncing kinematic mechanism is reported. The success reported in our paper includes addressing a dilemma where enhanced electrical output comes at the cost of increased friction and wear, limiting the practical ...
Yihong Lin +12 more
wiley +1 more source
Cooperation between competitive electric vehicle manufacturers: a strategic analysis of charging pile construction. [PDF]
Zhang L, Xia Y, Guo Y.
europepmc +1 more source
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
Optimization of urban and rural electric bus scheduling considering mobile battery pack deployment. [PDF]
Chen S, Chang A, Cong Y.
europepmc +1 more source
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari +3 more
wiley +1 more source
Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints. [PDF]
P AP, R R.
europepmc +1 more source
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
Lightweight machine learning framework using temporal features for electric vehicle demand response forecasting on edge devices. [PDF]
Durrani AM +8 more
europepmc +1 more source
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu +15 more
wiley +1 more source

