Maximum Stability Point Tracking Stabilizes Wide‐Bandgap Mixed‐Halide Perovskite Solar Cells
A maximum stability point tracking (MSPT) strategy suppresses charge trapping‐induced halide segregation, enabling wide‐bandgap perovskite solar cells to achieve significantly enhanced operational stability compared to conventional maximum power point tracking (MPPT).
Seongheon Kim +7 more
wiley +1 more source
MXene (Ti<sub>3</sub>C<sub>2</sub>T <sub><i>x</i></sub> ) mediated multiscale electrolyte regulation enables robust interphase for dendrite-free solid-state sodium metal batteries. [PDF]
Zhao L +8 more
europepmc +1 more source
Interfacial chemo‐mechanical instability limits stable operation of sulfide‐based all‐solid‐state batteries under low stack pressure. Here, a chemomechanically adaptive MXene–Si–Ag dual‐seed interlayer integrates immobile and mobile lithiophilic sites within a mechanically compliant MXene framework, regulating Li‐ion flux, stabilizing solid–solid ...
Youngjin Song +7 more
wiley +1 more source
RF-LSTM carbon price prediction based on CEEMDAN decomposition and multiscale entropy reconstruction. [PDF]
Wang H, Li Y.
europepmc +1 more source
Aqueous ammonium‐ion batteries (AAIBs) are emerging as promising alternatives for next‐generation energy storage. To overcome the limited ion diffusion associated with ultrahigh mass‐loading electrodes, this work develops a 3D‐printed porous conductive electrode of metal‐telluride fabricated via selective laser melting technique.
Puja De +5 more
wiley +1 more source
Stock Forecasting Based on Informational Complexity Representation: A Framework of Wavelet Entropy, Multiscale Entropy, and Dual-Branch Network. [PDF]
Tian G, Xu C, Yang Y.
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Short-term photovoltaic power forecasting using DTW-based K-Medoids clustering and a hybrid VMD-CEEMDAN-1DCNN-S-Mamba model. [PDF]
Tianxiang H +5 more
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
A Hybrid SWVMD-iTransformer Framework for Online SOH Estimation of Lithium-Ion Batteries. [PDF]
Wang Y, Fang P, Zhou B, Ming A.
europepmc +1 more source

