Results 31 to 40 of about 203,307 (268)
The Power of Physical Representations.
Commonsense reasoning about the physical world, as exemplified by "Iron sinks in water" or "If a ball is dropped it gains speed," will be indispensable in future programs. We argue that to make such predictions (namely, envisioning), programs should use abstract entities (such as the gravitational field), principles (such as the principle of ...
Varol Akman, Paul J. W. ten Hagen
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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
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Pulsed power technology, whereas the electrical energy stored in a relative long period is released in much shorter timescale, is an efficient method to create high energy density physics (HEDP) conditions in laboratory.
Jianjun Deng +30 more
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Pulsed power accelerator for material physics experiments
We have developed the design of Thor: a pulsed power accelerator that delivers a precisely shaped current pulse with a peak value as high as 7 MA to a strip-line load.
D. B. Reisman +14 more
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Power System Security With Cyber-Physical Power System Operation [PDF]
Cyber-attacks on a cyber-physical power system could lead to significant data failure, false data injection and cascading failure of physical power system components. This paper proposes an advanced approach based on a ternary Markovian model of cyber-physical components interactions to capture the subsystem layers' interactions of the cyber-physical ...
Peju Adesina Oyewole, Dilan Jayaweera
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The S- and P-wave fully charmed tetraquark states and their radial excitations
Inspired by recent progresses in observations of the fully charmed tetraquark states by LHCb, CMS, and ATLAS collaborations, we perform a systematic study of the ground states and the first radial excitations of the S- and P-wave $$\textrm{cc}\bar ...
Guo-Liang Yu +4 more
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In this work, we propose a data-driven reduced-order model (ROM) for high dimensional flow fields by combining flow modal decomposition and multiple regression.
Li Xu +4 more
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Revisit assignments of the new excited $$\Omega _c$$ Ω c states with QCD sum rules
In this article, we distinguish the contributions of the positive parity and negative parity $$\Omega _c$$ Ω c states, study the masses and pole residues of the 1S, 1P, 2S and 2P $$\Omega _c$$ Ω c states with the spin $$J=\frac{1}{2}$$ J = 1 2 and ...
Zhi-Gang Wang, Xing-Ning Wei, Ze-Hui Yan
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Getting the most from power-law-type data can be challenging. James Sethna points out some of the pitfalls in studying power laws arising from emergent scale invariance, as well as important opportunities.
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Wind farm power forecasting by physical data fusion
Power forecasting is a fundamental research topic in the wind power industry. Existing wind power forecasting methods predominantly rely on either data-driven or physics-driven approaches, with few studies combining physical models and data-driven ...
Jun ZHAO, Shifeng ZHANG, Jinge SONG
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