Interfacial stability of organic-based hole transport layers in perovskite photovoltaics for space-like thermal environments [0.03%]
基于有机空穴传输层的钙钛矿光伏组件在空间环境下的界面稳定性研究
Donghwan Yun,Hyunseo Lee,Harin Kim et al.
Donghwan Yun et al.
Perovskite solar cells (PSCs) are highly attractive for space applications due to their high power-to-weight ratio, yet their reliability under extreme thermal environments remains unclear. Here we investigate interfacial stability in devic...
Prism coupling and visualization of surface nanoscale axial photonic structures [0.03%]
棱镜耦合与表面纳米尺度轴向光子结构的可视化技术
Anatoliy Savchenkov,Zijie Wang,Manuel Crespo-Ballesteros et al.
Anatoliy Savchenkov et al.
Surface nanoscale axial photonics (SNAP) has demonstrated the record subangstrom precise fabrication of miniature optical devices enabling applications in classical and quantum signal processing unfeasible to date. However, SNAP devices for...
Talkative battery: super-safe batteries with power-modulation based internal and external sensor data collection [0.03%]
善谈的电池：基于内外传感器数据采集的能量调节超级安全电池
Johannes Diers,Hamzeh Beiranvand
Johannes Diers
Individual cell surveillance in lithium-ion battery systems has not yet been widely adopted in the industry due to the increased cost of the final product. Thereby, the limited number of temperature sensors in a battery pack endangers syste...
High-speed hyperspectral single-pixel microscopy via line-scan detection with data fusion-based enhanced resolution [0.03%]
基于数据融合的线扫描探测高速高分辨单像素超光谱显微镜
Samuel I Zapata-Valencia,Heberley Tobón-Maya,Cosimo D&#x;Andrea et al.
Samuel I Zapata-Valencia et al.
The development of hyperspectral microscopy techniques is recognized as an active field of research. Although commercial alternatives are available, these systems remain slow, expensive, and limited in flexibility, indicating clear opportun...
A deep learning framework for scientific chart data extraction and reconstruction [0.03%]
一种科学图表数据提取和重建的深度学习框架
Yang Yuan,Sihan Liang,Ji Zhang et al.
Yang Yuan et al.
Scientific figures encapsulate key empirical evidence and are critical to data-driven discovery and scientific integrity assessment. Despite substantial advances in scientific natural language processing for scientific document analysis, au...
Mars planetary insights and design framework for future in-situ aerial robotic missions [0.03%]
火星行星洞见和未来原位空中机器人任务的设计框架
Vishal Youhanna,Leonard Felicetti,Dmitry Ignatyev
Vishal Youhanna
This paper presents a comprehensive framework for designing and deploying aerial robots (aerobots) to revolutionise Mars exploration. The Martian environment, characterised by a tenuous atmosphere, extreme thermal variations, and diverse, o...
N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease [0.03%]
基于神经信号的帕金森病步态跟踪跨受试者对抗学习框架(N2G校准器)
Jin Woo Choi,Helen M Bronte-Stewart
Jin Woo Choi
Adaptive deep brain stimulation (aDBS) has enabled machine learning models to track motor states from neural signals with improved accuracy, aiming to provide electrical stimulation accordingly. Such data-driven techniques necessitate exten...
Beyond 350 GHz: Single-channel 112 Gbps photonic wireless transmission at 560 GHz using soliton microcombs [0.03%]
超越350GHz：利用孤子微频梳在560GHz下进行单通道112Gbps光无线传输
Yu Tokizane,Hiroki Kishikawa,Takumi Kikuhara et al.
Yu Tokizane et al.
Sixth-generation (6 G) back-haul links will require terahertz (THz) carriers above 350 GHz to escape the congested 300 GHz band and support >100 Gbps data rates. Photonic THz transmitters have so far remained below 350 GHz because high-freq...
Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks [0.03%]
用于探测分层模块化神经网络中自发功能恢复的微流控平台
Keita Watanabe,Hideaki Yamamoto,Takuma Sumi et al.
Keita Watanabe et al.
The inherent capacity to flexibly reorganize after injury is a hallmark of brain networks, with recent studies suggesting that the functional consequences of damage are strongly influenced by the network's nonrandom connectivity. However, e...
Long-range near-surface wake signatures of offshore wind farm clusters revealed by satellite observations [0.03%]
基于卫星观测的海上风电场尾流低空遥感签名长期演变规律
Rui Li,Jincheng Zhang,Xiaowei Zhao
Rui Li
Wind energy has expanded rapidly in recent years, leading to increasingly dense clusters of offshore wind farms. As a result, wind farm wake effects, manifested as reduced wind speeds downstream of operating turbines, have become an importa...