Results 151 to 160 of about 6,488,304 (373)

Synthesis and Electronic Structure of the Fractionally Occupied Double Perovskite EuTa2O6 with Ordered Europium Vacancies

open access: yesAdvanced Functional Materials, EarlyView.
Two‐dimensional electronic states are the foundation of modern semiconductor technology. Here, we report molecular‐beam epitaxy growth of fractional double perovskite, EuTa2O6. Reciprocal space mapping and transmission electron microscopy confirm a layered ordering of A‐site cations.
Tobias Schwaigert   +15 more
wiley   +1 more source

Fixed-Point Grover Adaptive Search for Quadratic Binary Optimization Problems

open access: yesIEEE Transactions on Quantum Engineering
In this article, we study a Grover-type method for quadratic unconstrained binary optimization (QUBO) problems. For an $n$-dimensional QUBO problem with $m$ nonzero terms, we construct a marker oracle for such problems with a tunable parameter, $\Lambda \
Akos Nagy   +4 more
doaj   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh   +4 more
wiley   +1 more source

Harnessing the power of quantum systems based on spin magnetic resonance: from ensembles to single spins

open access: yesAdvances in Physics: X, 2017
Quantum computation provides great speedup over its classical counterpart for certain tasks. Spin system is one of the most important candidates to realize quantum computations.
Xing Rong   +7 more
doaj   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer

open access: yesIEEE Transactions on Quantum Engineering
The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena.
Niclas Schillo, Andreas Sturm
doaj   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

open access: yesAdvanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang   +9 more
wiley   +1 more source

Optimizing quantum convolutional neural network architectures for arbitrary data dimension

open access: yesFrontiers in Physics
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis.
Changwon Lee   +8 more
doaj   +1 more source

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

open access: yesAdvanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng   +5 more
wiley   +1 more source

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