Results 221 to 230 of about 7,540 (299)

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

Coral morphology detection in underwater imagery using YOLOv12 with CNN and transformer encoder fusion. [PDF]

Sci Rep
Nandal P, Siwach M, Upadhyay GM.
europepmc   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

An Evaluation Method for Partial Discharge in Generator Stator Bar Insulation Based on Fiber-Optic Acoustic Detection. [PDF]

Sensors (Basel)
Hu J, Yang J, Qin P, Jiang X, Luo W.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Research on nonlinear vibration of transformer winding based on static analysis of axial pressing process. [PDF]

Sci Rep
Jun L, Yuefeng H, Zijian D, Zhanlong Z, Zhihao G, Jinbo W.   +5 more
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps. [PDF]

Cancer Inform
Ikezogwo W, Liu Y, Hosny K, Henriksen J, Ricciotti R, Rawlani M, Swanson P, Mathias PC, Hoffman NG, Baird G, Gonzalez-Cuyar LF, Shapiro L, Reddi D.   +12 more
europepmc   +1 more source

Theory Guided Fine‐Tune of Strain Effects in Pt Ternary Alloy via Rare Earth Templating: Achieving High Performance PEMFCs Catalysts

Advanced Materials, EarlyView.
Theory‐guided strain engineering and rare‐earth templating are combined to create Pt5(Ce)Co@Pt multilayer nanoparticles with a Pt5Co‐like sublayer that fine‐tunes *OH binding near the ORR volcano optimum. The resulting catalyst delivers exceptional mass activity and remarkable long‐term PEMFC durability, revealing a strategy for designing highly active
Qi Zhang, Hong Zhang, Sungho Jeon, Erika Ortega Ortiz, Brooke E. Vander Pas, Guangqi Zhu, Yi‐Kai Lien, Chenzhao Li, Huayu Guo, Baixu Zhu, Yaroslav Losovyj, Gabriel M. Filippelli, Xingchen Ye, Eric A Stach, Ping Liu, Jian Xie   +15 more
wiley   +1 more source

A transformer-XGBoost based model to fault diagnosis for CPR1000. [PDF]

Sci Rep
Peng Z, Lei J, Ni Z, Wasaye MA, Jiang Y, Cao Y, Yu T.   +6 more
europepmc   +1 more source