Results 121 to 130 of about 55,371 (314)

Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching

Advanced Functional Materials, EarlyView.
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey, Uwe Hübner, Albane Benardais, Xiaofei Wu, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Henrik Schneidewind, Markus A Schmidt, Virginie Nazabal, Volker Deckert, Jer‐Shing Huang, Wei Wang   +12 more
wiley   +1 more source

Selective and Precise Editing of Digital Polymers Through Parallel or Series Toehold‐Mediated Strand Displacement

Advanced Functional Materials, EarlyView.
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski, Cyril Antheaume, Jean‐François Lutz, Maria Nerantzaki   +3 more
wiley   +1 more source

In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device

Advanced Functional Materials, EarlyView.
In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang, Rohan Dhall, Matthew M. Schneider, Cun Li, Chengyu Song, Sundar Kunwar, Hongyi Dou, Natanii R. Yazzie, Henry Tran, Daniel Appuing, Jim Ciston, Nicholas G. Cucciniello, Pinku Roy, Michael T. Pettes, John Watt, Winson Kuo, Haiyan Wang, Ye Cao, Rodney J. McCabe, Aiping Chen   +19 more
wiley   +1 more source

Laser‐Based Sculpturing of Embedded Ultrathin Metal‐Oxide Nanopores for Enhanced Biomolecular Sensing

Advanced Functional Materials, EarlyView.
Controlled laser‐drilling of embedded HfO2 membranes creates three layer nanopores with Gaussian‐shaped cavities sculptured in the supporting layers. These embedded solid‐state nanopores slow DNA translocation by 12‐fold compared to SiNx pores, enabling high‐resolution, label‐free detection of short DNAs, RNAs, and proteins.
Jostine Joby, Yulia Marom, Guocong Lin, Aleksandra Baron‐Wiechec, Amit Meller   +4 more
wiley   +1 more source

Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation

Sensors
Universal image segmentation aims to handle all segmentation tasks within a single model architecture and ideally requires only one training phase. To achieve task-conditioned joint training, a task token needs to be used in the multi-task training to ...
Yipeng Qu, Joohee Kim
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text [PDF]

, 2023
Xiang Li, Jinglu Wang, Xiaohao Xu, Muqiao Yang, Fan Yang, Yizhou Zhao, Rita Singh, Bhiksha Raj   +7 more
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Understanding and Tuning Mobile Interfaces in Ferroelectric Hf0.5Zr0.5O2 Thin Films in Relation to Microstructure

Advanced Functional Materials, EarlyView.
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker, Yoonsang Park, Kihong Kim, Ji Soo Kim, Nives Strkalj, Atif Jan, Giuliana Di Martino, Benson K. Tsai, Haiyan Wang, Ping Lu, Duk‐Hyun Choe, Judith L. MacManus‐Driscoll   +11 more
wiley   +1 more source

Incorporating physicians’ contouring style into auto-segmentation of clinical target volume for post-operative prostate cancer radiotherapy using a language encoder

Machine Learning: Health
Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, the absence of the prostate gland and unclear anatomical landmarks
Hengrui Zhao, Chien-Yi Liao, Daniel Yang, Steve Jiang, Dan Nguyen   +4 more
doaj   +1 more source