A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang +8 more
wiley +1 more source
DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]
Sun G, Zhao Y, Li J, Cui J, Qi X.
europepmc +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
Phytochemical Profiling of <i>Sticta caulescens</i> De Not.: Green Extraction and Multiscale Chemotaxonomic Analysis. [PDF]
Cifuentes-Araya N +7 more
europepmc +1 more source
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng +9 more
wiley +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques. [PDF]
El-Balka RM, Rabie AH, Saleh AI, Sakr N.
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
An Interpretable PK-Informed Hybrid Model for Voriconazole Exposure Prediction: Roles of CYP2C19 Genotype and Inflammation. [PDF]
Zhou Y +13 more
europepmc +1 more source
Ag Nanowire‐Integrated MoS2/ZnO Heterojunctions for Highly Efficient Photogenerated Charge Transfer
A versatile strategy is reported for fabricating multi‐dimensional heterojunctions with significantly improved charge transfer capability. By integrating Ag nanowires with a MoS2/ZnO heterojunction, a fourfold increase in surface photovoltage is achieved, reaching 200 mV under visible light illumination.
Anh Thi Nguyen +8 more
wiley +1 more source

