Results 21 to 30 of about 9,389,610 (402)
Physics-Guided Deep Neural Networks for Power Flow Analysis [PDF]
Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc. However, PF equations can be out-of-date or even unavailable due to system
Xinyue Hu+3 more
semanticscholar +1 more source
Unleashing the full power of LHCb to probe stealth new physics [PDF]
In this paper, we describe the potential of the LHCb experiment to detect stealth physics. This refers to dynamics beyond the standard model that would elude searches that focus on energetic objects or precision measurements of known processes.
M. Borsato+40 more
semanticscholar +1 more source
Design and Emulation of Physics-Centric Cyberattacks on an Electrical Power Transformer
Malware that attack the electrical power grid consist of exploits and operations modules. The exploits are similar to those of traditional malware. These malware hack into an industrial computer and subsequently deploy operational modules.
John Olijnyk+2 more
doaj +1 more source
First results from a 760-GW linear transformer driver module for Z-pinch research
In this paper, the results of tests on a 0.76-TW linear transformer driver (LTD) module for Z-pinch research are presented for the first time. Ten LTD cavities, each generating a 1-MA/90-kV pulse on a matched load, were connected in series with a ...
Lin Chen+11 more
doaj +1 more source
Study of a Si-based light initiated multi-gate semiconductor switch for high temperatures
Light initiated multi-gate semiconductor switch (LIMS) is a kind of power electronic device which has many differences from traditional thyristor triggered by electric pulse.
Chongbiao Luan+9 more
doaj +1 more source
Data-Driven Optimal Power Flow: A Physics-Informed Machine Learning Approach [PDF]
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+5 more
semanticscholar +1 more source
Background The role of delayed feedback stimulation in the discussion of Parkinson's disease (PD) has recently received increasing attention. Stimulation of pedunculopontine nucleus (PPN) is an emerging treatment for PD.
Yingpeng Liu+4 more
doaj +1 more source
This work offers a systematic literature review of Brazilian and international research on gender in physics and physics education published over the last decade (2010–2019). We draw on a poststructuralist analytical approach to discuss assumptions about
Carolina de Barros Vidor+3 more
doaj +3 more sources
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+3 more
doaj +1 more source
A switchable terahertz metamaterial absorber between ultra-broadband and dual bands
Based on the phase change properties of vanadium dioxide (VO2), we propose a terahertz metamaterial absorber that can be switched flexibly between ultra-broadband and dual bands.
Zhi Ren+13 more
doaj +1 more source