Results 221 to 230 of about 5,565,025 (258)

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems. [PDF]

J Imaging
Czerkawski M, Upadhyay P, Davison C, Atkinson R, Michie C, Andonovic I, Macdonald M, Cardona J, Tachtatzis C.   +8 more
europepmc   +1 more source

Cavity‐Enhanced Eye‐Readable Detection of 0.1% H2 via Active Modulation of Charge‐Transfer Plasmons

Advanced Science, EarlyView.
A cavity‐structured nanoparticle sensor is developed for highly sensitive, eye‐readable hydrogen detection. Its excellent colorimetric response arises from a hydrogen‐induced charge‐transfer mechanism: reduction of the dielectric oxide shell in H2 triggers a transition from the plasmonic gap mode to the charge‐transfer plasmon mode.
Xuemin Zhang, Shunsheng Ye, Lubing Cai, Chao Li, Zheng Cai, Jin Zhang, Fei Liu, Tieqiang Wang, Boxin Wei, Hongbo Zeng   +9 more
wiley   +1 more source

NF-ULA: Normalizing flow-based unadjusted Langevin algorithm for imaging inverse problems. [PDF]

SIAM J Imaging Sci
Cai Z, Tang J, Mukherjee S, Li J, Schönlieb CB, Zhang X.   +5 more
europepmc   +1 more source

Advances in Se Wide‐Bandgap Photovoltaics and TexSe1‐x SWIR Photodiodes

Advanced Science, EarlyView.
In this review, fundamental properties and current challenges in Se photovoltaics (PVs) for tandem and indoor PVs and TexSe1‐x alloys for short wave infrared photodiodes are discussed. A case is made for the practicality of elemental chalcogenide optoelectronics, and a pathway toward resolving the key challenges in these respective technologies is ...
Adam D. Alfieri, Deep Jariwala
wiley   +1 more source

Atmospheric Water Harvesting Through Polymer Hydrogel Sorbents: Materials Chemistry, Design Strategies, and Applications

Advanced Science, EarlyView.
Polymer‐based hydrogels have emerged as promising materials for atmospheric water harvesting (AWH) due to their high water affinity, tunable network structure, and excellent moisture adsorption‐desorption performance. Functional hydrogel systems enable efficient water capture and controlled release under low‐energy conditions, offering a sustainable ...
Swagata Datta, Sushmit Sen, Nilanjan Dey, Amrita Chatterjee, Ananya Sadhu, Sudipta Sarkar, Pradip K. Maji   +6 more
wiley   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Advanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang, Meng Chen, Guanchen Li, Ruifeng Liu, Yingxin Wang, Ziran Zhao   +5 more
wiley   +1 more source

Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks. [PDF]

PNAS Nexus
Karnakov P, Litvinov S, Koumoutsakos P.
europepmc   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source