Results 211 to 220 of about 525,837 (233)

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Multi‐regional Organoid Biobank Reveals FAK‐ACSL1‐Driven Doxorubicin‐Resistance and Predictive Biomarkers in Breast Cancer

Advanced Science, EarlyView.
This study established a high‐quality organoid biobank derived from 68 tumor sites across 50 Chinese patients, elucidated the drug sensitivity‐based molecular subtyping in breast cancer, and revealed a novel mechanism of drug resistance mediated by the FAK‐ACSL1 pathway.
Hao Xu, Zhijun Qin, Jiapeng Yang, Baoyuan Zhang, Manqing Cao, Peng Wang, Zaiqi Wang, Jinghui Cheng, Lei Wang, Hong Liu, Hui Yang   +10 more
wiley   +1 more source

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