Results 121 to 130 of about 4,760,247 (349)
Matter and Radiation at Extremes, 2017 The low-mode shell asymmetry and high-mode hot spot mixing appear to be the main reasons for the performance degradation of the National Ignition Facility (NIF) implosion experiments.
Jianfa Gu +6 more
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The proposal and realization on more exact modeling of COIL performance
High Power Laser Science and Engineering, 2013 The chemical oxygen–iodine laser (COIL) is the shortest-wavelength high-power chemical laser that has been demonstrated. The characteristics, such as good atmospheric propagation, short wavelength and excellent transmission through optical fibers, make ...
Shouxian Li +5 more
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Quantum Principles and Mathematical Computability [PDF]
International Journal of Theoretical Physics, 2005 Taking the view that computation is after all physical, we argue that physics, particularly quantum physics, could help extend the notion of computability. Here, we list the important and unique features of quantum mechanics and then outline a quantum mechanical "algorithm" for one of the insoluble problems of mathematics, the Hilbert's tenth and ...
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Advanced Functional Materials, EarlyView.An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
Advanced 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
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Reconfigurable 3D Magnetic Nanoarchitectures
Advanced Functional Materials, EarlyView.This experimental study confirms that 3D magnetic tetrapods grown by focused electron beam‐induced deposition exhibit sequential, controllable magnetization reversal in the individual nanowire legs. The magnetic state of the nanoarchitecture can be controlled individually, on‐demand, through a variation of the direction and magnitude of the applied ...
Sabri Koraltan +8 more
wiley +1 more source
The development of laser-plasma interaction program LAP3D on thousands of processors
AIP Advances, 2015 Modeling laser-plasma interaction (LPI) processes in real-size experiments scale is recognized as a challenging task. For explorering the influence of various instabilities in LPI processes, a three-dimensional laser and plasma code (LAP3D) has been ...
Xiaoyan Hu +5 more
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Relativistic applications of symbolic mathematical computation [PDF]
, 1970 James C. Howard
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