Results 61 to 70 of about 871,423 (283)
Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti +7 more
wiley +1 more source
As core algorithms of geographic computing, overlay analysis algorithms typically have computation-intensive and data-intensive characteristics. It is highly important to optimize overlay analysis algorithms by parallelizing the vector polygons after ...
Junfu Fan +5 more
doaj +1 more source
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos +11 more
wiley +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Energy-Efficient Hybrid Precoding With Low Complexity for mmWave Massive MIMO Systems
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) utilizes large antenna arrays and is considered a promising technology for fifth-generation (5G) and beyond wireless communication systems.
Yang Liu +5 more
doaj +1 more source
Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
Variational learning algorithms for quantum query complexity
Quantum query complexity is pivotal in the analysis of quantum algorithms, encompassing well-known examples like search and period-finding algorithms. These algorithms typically involve a sequence of unitary operations and oracle calls dependent on an ...
Zipeng Wu +4 more
doaj +1 more source
The paper presents the results of a study of approaches to solving the problem of combinatorial conditional optimization of the refueling plan along a fixed automobile route, taking into account restrictions on tank volume, initial and final fuel volumes
M. S. Esin, M. V. Abramov
doaj +1 more source
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto +8 more
wiley +1 more source
The knapsack problem is an optimization problem in computer science which involves determining the most valuable combination of items that can be packed into a knapsack (a container) with a limited capacity (weight or volume); the goal is to maximize the total profit of the items included in the knapsack without exceeding its capacity.This study ...
Bin Usman, Bashar +4 more
openaire +1 more source

