Results 211 to 220 of about 31,417,045 (293)

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
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, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Finite-Time Thermodynamics of Battery Discharging: Power-Efficiency Trade-Off and Optimization. [PDF]

Entropy (Basel)
Liu RH, Lin YQ, Ma YH.
europepmc   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Leveraging Machine Learning for Accelerated Electrode-Electrolyte Interface Design in Rechargeable Li-Based Batteries. [PDF]

Small
Liu X, Li Q, Liang J, Li Z, Wang H, Deng Y.   +5 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Graphdiyne Oxide-Enabled Solid-State Proton Battery Exhibiting Superior Rate Capability. [PDF]

Angew Chem Int Ed Engl
Huang Y, Xiong Z, Liu H, Sun H, Su W, Chen Z, Zhoumei W, Liu H.   +7 more
europepmc   +1 more source

Tailored Stereo‐Configuration of Crosslinkable Polyester‐Based Solid Polymer Electrolytes for All‐Solid‐State and Binder‐Free Li Metal Batteries

Advanced Science, EarlyView.
Variations in polymer conformations of unsaturated poly(n‐alkyl esters) driven by monomer‐level stereochemistry directly govern Li+ solvation structures in polymer host matrices. The synergistic strategies of polymer conformation control, UV‐induced interchain crosslinking, and end‐group fluorination are implemented for engineering advanced solid ...
Hyun Jun Song, Jeong Yoon Kim, Sungpyo Hong, Yong Hui Kim, Myeong Gyun Nam, Jeong‐Won Ho, Min Gi Kang, Hye Seon Kim, Chaeyeon Ha, Sang Uck Lee, Pil J. Yoo, Patrice Rannou   +11 more
wiley   +1 more source

Unlocking Low-Melting-Point and High-Conductivity Molten Salts via High-Entropy Strategy with Demonstration in Thermal Batteries. [PDF]

Adv Sci (Weinh)
Shi B, Sun T, Yu F, Zhang Y, Wang G, Quan T, Zhu YL.   +6 more
europepmc   +1 more source

Polysiloxane‐Based Single‐Ion Conducting Polymer Electrolyte for Sodium Batteries

Advanced Science, EarlyView.
We report a polysiloxane‐based single‐ion conducting polymer electrolyte for sodium batteries. This polymer electrolyte exhibits high Na+ ion mobility and a wide electrochemical stability window, enabling the long‐term stable cycling of various cathode chemistries – also at room temperature, elevated dis‐/charge rates and active material mass loadings,
Yixuan Guo, Hyokyeong Kang, Maider Zarrabeitia, Ludovica Roselli, Hyerim Kim, Vittorio Marangon, Jang‐Yeon Hwang, Dominic Bresser   +7 more
wiley   +1 more source

Phase Change Materials for Battery Thermal Management: From Material Synthesis to Hybrid Systems. [PDF]

Nanomaterials (Basel)
Yang S, Qin L, Zhou F, Li X, Dong H.
europepmc   +1 more source