Results 211 to 220 of about 1,170,212 (257)
To the moon: Retail investor attention and sentiment across asset types in online media. [PDF]
Smith ML, Widmar NJO, Kilders V.
europepmc +1 more source
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source
Resisting epistemic loss in AI image generation. [PDF]
Safir AH, Blackwell AF, Debnath R.
europepmc +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods. [PDF]
Wei X.
europepmc +1 more source
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar +7 more
wiley +1 more source
The impact of acrylamide regulations on the competitive structure of the grain market. [PDF]
Nowakowski V.
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism. [PDF]
Li J, Yu Z, Zhang J, Meng W.
europepmc +1 more source

