Results 111 to 120 of about 8,394,012 (247)

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

A comprehensive modeling of dynamic negative-bias temperature instability in PMOS body-tied FinFETs

, 2006
This paper presents a novel approach to estimate the rising and failing behavior of Nth-order ON-state current by dynamic negative-bias temperature instability (DNBTI), with a comparison between experimental data and a modified DNBTI model in PMOS body ...
Lee, CH, Lee, H, Park, D, Choi, Yang-Kyu
core   +1 more source

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
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, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
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, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
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, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Bias Temperature Instability of Low Temperature Polycrystalline Silicon Thin-Film Transistor

, 2007
目前低溫複晶矽薄膜電晶體仍有需多問題需要解決，如漏電流的問題，以及我們對於複晶矽還有許多物理特性並不是十分的了解，而我們的研究方向就是低溫複晶矽薄膜電晶體之偏壓溫度不穩定性，這是屬於元件可靠度分析的範疇。在我們的論文裡，我們使用了不同的閘極偏壓，配合上不同的溫度以及不同的施以偏壓時間，其中包含了長時間與短時間，去做我們的元件偏壓溫度不穩定性實驗。藉由外在條件的不同，我們去觀察元件之後特性的變化。除了我們將試著去了解低溫複晶矽薄膜電晶體之電性之外，我們也閱讀相關的論文或研究報告，從這些已知的研究之中 ...
YE, JIA-HONG, 葉家宏
core  

Negative Bias Temperature Instability on Subthreshold Swing of SiC MOSFET

, 2017
The NBTI characteristics of SiC MOSFET were studied by the subthreshold swing. The subthreshold swing was found to be very sensitive to the starting bias of transfer curve.
Chwan Ying Lee, Yao Feng Huang, Hsiang Ting Hung, Cheng Tyng Yen, Tzong Liang Chen, Fu Jen Hsu, Chien Chung Hung, Lurng Shehng Lee   +7 more
core   +1 more source

Biomimetic Nanoplatform for Dual Target Nano‐Metabolic Therapy in Diabetes‐Associated Biofilm Infections

Advanced Science, EarlyView.
A biomimetic GOx/Arg‐loaded nanoplatform produces nitric oxide through an in situ catalytic cascade reaction, enabling dual‐target metabolic regulation in diabetes‐associated biofilm infections. Bacterial metabolism is disrupted, and macrophage immunometabolism is reprogrammed, resulting in biofilm eradication, immune restoration, and enhanced ...
Mingzhang Li, Yonglong Li, Jiren Yan, Changming Wang, Jinlong Yu, Feng Jiang, Boyong Wang, Yi Yang, Deyi Ding, Jin Tang, Pei Han, Botao Song, Geyong Guo, Hao Shen   +13 more
wiley   +1 more source