Results 121 to 130 of about 296,091 (283)

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

On the classification of quantum symmetries

20 pages; minor ...
Gordienko, A. S., Pekarsky, A. I.
openaire   +2 more sources

Quantum Classification Outside the Promised Class

Computers
This paper studies the important problem of quantum classification of Boolean functions from an entirely novel perspective. Typically, quantum classification algorithms allow us to classify functions with a probability of 1.0, if we are promised that they meet specific unique properties.
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris   +4 more
openaire   +3 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Designing quantum multi-category classifier from the perspective of brain processing information

Machine Learning: Science and Technology
In the field of machine learning, the multi-category classification problem plays a crucial role. Solving the problem has a profound impact on driving the innovation and development of machine learning techniques and addressing complex problems in the ...
Xiaodong Ding, Jinchen Xu, Zhihui Song, Yifan Hou, Zheng Shan   +4 more
doaj   +1 more source

Quantum dots for biosensing: Classification and applications

Biosensors and Bioelectronics
Quantum dots (QDs) are the smallest nanomaterials (2-10 nm), with unique optical and electronic properties. Thanks to these properties, QDs have been standing during the last years as signal tags for different applications, including bioimaging, fluorescent biosensors and electrochemical assays.
Quesada-González, Daniel, Merkoçi, Arben   +1 more
openaire   +3 more sources

Stepwise On‐Surface Synthesis and Transformations of Two‐Dimensional Covalent Organic Frameworks by Controlled Thermal Stimuli

Advanced Materials, EarlyView.
The seminal transformation of a 2D‐COF (SURFCOF‐IMDEA1) into a 2D porous COF (SURFCOF‐IMDEA2) on Au(111) by a sequential C‐C coupling and ladderization triggered by thermal annealing steps at increasing temperatures is reported. Abstract The development of covalent organic frameworks (COFs) is currently a primary objective in materials science, taking ...
Ana Barragán, Elena Pérez‐Elvira, Diego J. Vicent, Marco Lozano, Diego Soler‐Polo, Koen Lauwaet, José M. Gallego, Rodolfo Miranda, José I. Urgel, Pavel Jelínek, Nazario Martín, David Écija   +11 more
wiley   +1 more source

An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks

IEEE Access
Recent advancements in quantum machine learning have spurred the development of hybrid quantum-classical convolutional neural networks (HQCCNNs), which have demonstrated promising potential for image classification tasks.
Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan   +4 more
doaj   +1 more source

General Quantum Hilbert Space Modeling Scheme for Entanglement

, 2013
We work out a classification scheme for quantum modeling in Hilbert space of any kind of composite entity violating Bell's inequalities and exhibiting entanglement.
Aerts, Diederik, Sozzo, Sandro
core