Results 201 to 210 of about 51,150 (307)

A Universal Approach to Enhancing Silicon Hot‐Carrier Photodetectors for CMOS‐Compatible SWIR Imaging

Advanced Science, EarlyView.
Silicon hot‐carrier photodetectors offer a CMOS‐compatible pathway for SWIR detection but suffer from intrinsically low quantum efficiency. Here, we introduce a quasi‐generalized antireflection coating (QARC) that universally enhances optical absorption and quantum efficiency, enabling the first CMOS‐compatible SWIR imaging with silicon hot‐carrier ...
Eui‐Hyoun Ryu, Hyun Woo Ko, Sunghyun Hwang, Nayeon Kim, Ji‐Hwan Son, Sunghyun Han, Paul Hongsuck Seo, Jisoo Hong, Sang‐Jun Kim, Seon Kyu Yoon, Min‐Chul Park, In‐Ho Lee   +11 more
wiley   +1 more source

Leakage Detection Using Distributed Acoustic Sensing in Gas Pipelines. [PDF]

Sensors (Basel)
Benabid MK, Baumgartner P, Jin G, Fan Y.
europepmc   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Numerical Investigation of Hydrogen Leakage Quantification and Dispersion Characteristics in Buried Pipelines. [PDF]

Materials (Basel)
Tian Y, Zhang J, Ren G, Deng B.
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Pipeline Leakage Identification Based on Acoustic Sensors and EPSO-1D-CNN-Bi-LSTM Model. [PDF]

Sensors (Basel)
Wang N, Zhang K, Wang X, Peng B, Zhai S.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Microbially Induced Corrosion: A Hidden Risk in Industrial Accidents. [PDF]

ACS Omega
Vítěz T, Kotek L, Černý M, Hanišáková N, Vítězová M, Trávníček P.   +5 more
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Deep Learning and Geometric Modeling for 3D Reconstruction of Subsurface Utilities from GPR Data. [PDF]

Sensors (Basel)
Jafary P, Shojaei D, Ehinger KA.
europepmc   +1 more source