Results 51 to 60 of about 8,151 (193)

Limit linear series moduli stacks in higher rank

, 2014
In order to prove new existence results in Brill-Noether theory for rank-2 vector bundles with fixed special determinant, we develop foundational definitions and results for limit linear series of higher-rank vector bundles.
Osserman, Brian
core  

Interlayer‐Sliding‐Enabled Multiferroicity and Giant Switchable Anomalous Hall Conductivity in RuO2Zn2F2 Bilayer

Advanced Science, EarlyView.
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga, Imran Khan, Ganie Suhail Ahmad, Jisang Hong   +3 more
wiley   +1 more source

Advanced Dental Composite Technology via Bisilanized Dual‐Action Nanofillers for Biofilm Control

Advanced Science, EarlyView.
A multimodal research strategy has led to the development of an innovative resin‐based composite (RBC) with dual antibacterial action. The S_CM‐RBC formula showed strong antibiofilm activity, excellent mechanical strength, and biosafety. It effectively controlled oral bacteria in prevention of caries recurrence, and maintained pulp health in a rat ...
Chenmin Yao, Line Etiennot, Naiera Zayed, Shengjie Liang, Mehraveh Saghi, Jelle Verdonck, Lingyue Liu, Fei Zhang, Wim Teughels, Cui Huang, Kirsten Van Landuyt, Bart Van Meerbeek   +11 more
wiley   +1 more source

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors

Advanced Science, EarlyView.
 . ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton, Tuan Sang Tran, Duc Khanh Tran, Van Thanh Dau, Dzung Viet Dao   +4 more
wiley   +1 more source

Outstanding TC Enhancement in 5d–3d Y2NiIrO6 by Compression

Advanced Science, EarlyView.
Double perovskite Y2NiIrO6 with half filed 3d eg–5d t2g configuration, exhibits first experimental example of pressure‐enhanced magnetic interaction in iridate and iridate‐related systems. Its Curie temperature increase from 192 to 243 K at 17 GPa. Herein, the orthogonal eg–t2g pathway remains robust even under compression‐induced lattice distortion ...
Zheng Deng, Yao Zhang, Sijia Zhang, Jing Song, Wanli He, Yuanzhe Li, Meilin Jin, Xiang Li, Guanghua Liu, Zhen Dong, Jingkai Bi, Wenmin Li, Jianfa Zhao, Jun Zhang, Yi Peng, Luchuan Shi, Junling Meng, Xiancheng Wang, Changqing Jin   +18 more
wiley   +1 more source

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

Advanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang, Junggeon Park, Aryaman Joshi, Rakid Haque, Gyu Weon Hwang, Hyunjoon Kong   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source