Results 31 to 40 of about 8,619,235 (382)

Wind Farm Modeling with Interpretable Physics-Informed Machine Learning

Energies, 2019
Turbulent wakes trailing utility-scale wind turbines reduce the power production and efficiency of downstream turbines. Thorough understanding and modeling of these wakes is required to optimally design wind farms as well as control and predict their ...
Michael F. Howland, John O. Dabiri
doaj   +1 more source

Analysis of the strong vertices of $$\Sigma _{c}\Delta D^{*}$$ Σ c Δ D ∗ and $$\Sigma _{b}\Delta B^{*}$$ Σ b Δ B ∗ in QCD sum rules

European Physical Journal C: Particles and Fields, 2023
In this work, we analyze the strong vertices $$\Sigma _{c}\Delta D^{*}$$ Σ c Δ D ∗ and $$\Sigma _{b}\Delta B^{*}$$ Σ b Δ B ∗ using the three-point QCD sum rules under the tensor structures $$i\epsilon ^{\rho \tau \alpha \beta }p_{\alpha }p_{\beta }$$ i ϵ
Jie Lu, Guo-Liang Yu, Zhi-Gang Wang, Bin Wu   +3 more
doaj   +1 more source

Data-Driven Optimal Power Flow: A Physics-Informed Machine Learning Approach [PDF]

IEEE Transactions on Power Systems, 2020
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not require the time-consuming parameter tuning process compared with the deep
Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu   +5 more
semanticscholar   +1 more source

Quantum Computing for High-Energy Physics: State of the Art and Challenges [PDF]

PRX Quantum, 2023
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup of numerical ...
A. D. Meglio, K. Jansen, I. Tavernelli, C. Alexandrou, Srinivasan Arunachalam, C. Bauer, K. Borras, S. Carrazza, Arianna Crippa, V. Croft, R. D. Putter, Andrea Delgado, V. Dunjko, D. Egger, E. Fernández-Combarro, Elina Fuchs, L. Funcke, D. González-Cuadra, M. Grossi, Jad C. Halimeh, Zoe Holmes, S. Kuhn, D. Lacroix, R. Lewis, D. Lucchesi, Miriam Lucio Martínez, F. Meloni, Antonio Mezzacapo, S. Montangero, Lento Nagano, V. Radescu, Enrique Rico Ortega, A. Roggero, Julian Schuhmacher, J. Seixas, P. Silvi, P. Spentzouris, F. Tacchino, K. Temme, K. Terashi, Jordi Tura i Brugués, Cenk Tüysüz, S. Vallecorsa, U. Wiese, Shinjae Yoo, Jinglei Zhang   +45 more
semanticscholar   +1 more source

Closed-loop controller based on reference signal tracking for absence seizures

Scientific Reports, 2022
Absent epilepsy is a kind of refractory epilepsy, which is characterized by 2–4 Hz spike and wave discharges (SWDs) in electroencephalogram. Open-loop deep brain stimulation (DBS) targeting the thalamic reticular nucleus (TRN) is an effective method to ...
Hudong Zhang, Yuting Chen, Yan Xie, Yuan Chai   +3 more
doaj   +1 more source

First-Principles Study on Optic-Electronic Properties of Charge-Ordered Indium Halide Perovskite Cs2In(I)In(III)Cl6 at High Pressure

Frontiers in Nanotechnology, 2021
Using the first principle method we studied, theoretically and in detail, the structural, optical, and electronic properties of a charge-ordered indium halide perovskite Cs2In(I)In(III)Cl6 at high pressure.
Yajing Wang, Shunwei Yao, Xiaolin Liu, Guohong Chen, Lin Peng   +4 more
doaj   +1 more source

Measurement of (n,α) cross section for set of structural material isotopes

EPJ Web of Conferences, 2017
A novel spectrometer was developed and used to measure the cross section for the (n,α) reaction at IPPE. Direct measurements of the α-particles yield from solid isotopic pure targets of 50, 52 and 53 chromium, 54 and 57 iron, 60 nickel, and 64 zinc were ...
Khryachkov Vitaly, Gurbich Alexander, Khromyleva Tatiana, Bondarenko Ivan, Ketlerov Vladimir, Prusachenko Pavel   +5 more
doaj   +1 more source

Dynamic effect of electromagnetic induction on epileptic waveform

BMC Neuroscience, 2022
Background Electromagnetic induction has recently been considered as an important factor affecting the activity of neurons. However, as an important form of intervention in epilepsy treatment, few people have linked the two, especially the related ...
Yuqin Sun, Yuting Chen, Hudong Zhang, Yuan Chai   +3 more
doaj   +1 more source

The Performance of the Two-Seeded GdBCO Superconductor Bulk with the Buffer by the Modified TSMG Method

Micromachines, 2023
The multiseeding technique is a method to grow large-sized REBa2Cu3O7−δ (REBCO, where RE is a rare earth element) high temperature superconducting bulks.
Yufeng Zhang, Chunyan Li, Ziwei Lou, Penghe Zhang, Yan Zhang, Shuangyuan Shen, Guanjie Ruan, Jiaying Zhang   +7 more
doaj   +1 more source

Physics-Informed Neural Networks for Power Systems [PDF]

IEEE Power & Energy Society General Meeting, 2019
This paper introduces for the first time, to our knowledge, a framework for physics-informed neural networks in power system applications. Exploiting the underlying physical laws governing power systems, and inspired by recent developments in the field ...
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis   +2 more
semanticscholar   +1 more source