Results 111 to 120 of about 33,969 (261)

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Stimuli‐Responsive Hierarchical Structuring Controls Survival and Programs Hydrogelation of Supramolecular Metallofibers

Advanced Materials, EarlyView.
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler, László Mérai, Kai Ludwig, Rainer Haag, Quinn A. Besford, Alex J. Plajer   +5 more
wiley   +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

Operation Limits of Integrated Photo‐Rechargeable Batteries

Advanced Materials, EarlyView.
This study elucidates the operational limitations of integrated photo‐rechargeable batteries. We demonstrate that the photo‐charging process is fundamentally restricted not only by material‐to‐material energy level alignment but also by transient capacitive charge accumulation within the cathode framework.
Byung‐Man Kim, Arvind Pujari, Hooman Abbasi, Weidong Xu, Yutong Han, Samuel D. Stranks, Michael De Volder   +6 more
wiley   +1 more source

DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION

Journal of Problems in Computer Science and Information Technologies
This research explores the integration of quantum computing with classical machine learning to enhance data classification tasks using Quantum Neural Networks (QNN) and Parameterized Quantum Circuits (PQC).
Aksultan Mukhanbet, Nurtugan Azatbekuly, Beimbet Daribayev   +2 more
doaj   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Quantum-enhanced satellite image classification

CoRR
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dynamics of many-body spin Hamiltonians, the method generates expressive quantum features that, when combined with classical processing, lead to quantum-enhanced classification accuracy.
Qi Zhang, Anton Simen, Carlos Flores-Garrigos, Gabriel Alvarado Barrios, Paolo A. Erdman, Enrique Solano, Aaron C. Kemp, Vincent Beltrani, Vedangi Pathak, Hamed Mohammadbagherpoor   +9 more
openaire   +2 more sources

Nonwoven‐Based Textile Architectures for Energy Storage Applications: Materials, Preparation, Characterization, and Prospects

Advanced Materials Interfaces, EarlyView.
Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam, Md. Hanif Munshi, Rijon Saha, Shaikh Almoon Hussain, Aqib Adnan Shafin, Shumsul Arefin, Md. Kamruzzaman   +6 more
wiley   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

Fuzzy C-Means and Explainable AI for Quantum Entanglement Classification and Noise Analysis

Mathematics
Quantum entanglement plays a fundamental role in quantum mechanics, with applications in quantum computing. This study introduces a new approach that integrates quantum simulations, noise analysis, and fuzzy clustering to classify and evaluate the ...
Gabriel Marín Díaz
doaj   +1 more source