Results 111 to 120 of about 3,905,200 (321)

Emergence of Light‐Transforming Layered Hybrid Halide Perovskites

Advanced Functional Materials, EarlyView.
The emerging class of light‐transforming layered halide perovskite materials is reviewed, outlining challenges for their development and perspectives toward application in the future. Abstract Layered hybrid halide perovskites (LHPs) have attracted considerable attention in optoelectronics.
Ghewa AlSabeh, Jovana V. Milić
wiley   +1 more source

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

A hybrid quantum-classical classification model based on branching multi-scale entanglement renormalization ansatz

Scientific Reports
Tensor networks are emerging architectures for implementing quantum classification models. The branching multi-scale entanglement renormalization ansatz (BMERA) is a tensor network known for its enhanced entanglement properties.
Yan-Yan Hou, Jian Li, Tao Xu, Xin-Yu Liu
doaj   +1 more source

Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification

IEEE Transactions on Quantum Engineering
Text sentiment analysis is an important task in natural language processing and has always been a hot research topic. However, in low-resource regions such as South Asia, where languages like Bengali are widely used, the research interest is relatively ...
Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu   +4 more
semanticscholar   +1 more source

Quantum Transfer Learning with Adversarial Robustness for Classification of High‐Resolution Image Datasets [PDF]

Advanced Quantum Technologies
The application of quantum machine learning to large‐scale high‐resolution image datasets is not yet possible due to the limited number of qubits and relatively high level of noise in the current generation of quantum devices.
Amena Khatun, Muhammad Usman
semanticscholar   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Basic quantum circuits for classification and approximation tasks

International Journal of Applied Mathematics and Computer Science, 2020
We discuss a quantum circuit construction designed for classification. The circuit is built of regularly placed elementary quantum gates, which implies the simplicity of the presented solution. The realization of the classification task is possible after
Wiśniewska Joanna, Sawerwain Marek, Obuchowicz Andrzej   +2 more
doaj   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification

Mathematics
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat, Manish Tomar, Pankaj Kumar, Rajesh Kumar, Athanasios V. Vasilakos   +4 more
doaj   +1 more source