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3 days ago · View a PDF of the paper titled Stronger Entanglement Criteria Based on Quantum Fisher Information, by Ao-Xiang Liu and 1 other authors. To optimize the entanglement detection, we formulate the metrologically operational entanglement condition in quantum Fisher information (QFI) by maximizing the QFI on the measurement orbit.
1 day ago · Wang H., Feng D., Liu K., Fault detection and diagnosis for multiple faults of VAV terminals using self-adaptive model and layered random forest, Build. Environ. 193 (2021). Google Scholar
1 day ago · Google Scholar Sotayo, A., et al. 2020. “Review of state of the art of dowel laminated timber members and densified wood materials as sustainable engineered wood products for construction and building applications.”
5 days ago · Semantic Scholar extracted view of "Perspective on Phase Transition in Layered Oxide Cathodes for Sodium-Ion Batteries: Mechanism, Influenced Factors, and Inhibition Strategies" by Jiayuan Zhang et al.
2 days ago · Leaking data through screen-shooting has become the main way of modern leaks. Digital watermarking technology can trace the leaker through the watermark information after the data is leaked. The current screen-shooting watermarking scheme can resist part of the distortion in the screen-shooting process, but it faces two problems. On the one hand, the watermark capacity is small. On the other hand, when the shot watermarked image is incomplete, high watermark extraction accuracy cannot be ...
3 days ago · Abstract. Physics-informed neural networks (PINNs) are a novel approach to solving partial differential equations (PDEs) through deep learning. They offer a unified manner for solving forward and inverse problems, which is beneficial for various engineering problems, including heat transfer analysis. However, traditional PINNs suffer from low accuracy and efficiency due to the fully-connected neural network framework and the method to incorporate physical laws. In this paper, a novel physics ...
3 days ago · BACKGROUND. A series of Pt@NZSM–5 and Pt/NZSM–5 nanosheets having different Si/Al ratios were prepared via an in situ synthesis and impregnation method, respectively, using C 22 H 45 –N + (CH 3) 2 –C 6 H 12 –N + (CH 3) 2 –C 6 H 13 (C 22–6–6) as the template agent.
