Results 31 to 40 of about 203,307 (268)

The Power of Physical Representations.

open access: yesAI Mag., 1989
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
openaire   +3 more sources

What are the Problem Representations and Assumptions About Gender Underlying Research on Gender in Physics and Physics Education? A Systematic Literature Review

open access: yesRevista Brasileira de Pesquisa em Educação em Ciências, 2020
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

From concept to reality — A review to the primary test stand and its preliminary application in high energy density physics

open access: yesMatter and Radiation at Extremes, 2016
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
doaj   +1 more source

Pulsed power accelerator for material physics experiments

open access: yesPhysical Review Special Topics. Accelerators and Beams, 2015
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
doaj   +1 more source

Power System Security With Cyber-Physical Power System Operation [PDF]

open access: yesIEEE Access, 2020
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
openaire   +3 more sources

The S- and P-wave fully charmed tetraquark states and their radial excitations

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
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
doaj   +1 more source

A Data-Driven Reduced Order Modeling for Fluid Flow Analysis Based on Series Forecasting Intelligent Algorithm

open access: yesIEEE Access, 2022
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
doaj   +1 more source

Revisit assignments of the new excited $$\Omega _c$$ Ω c states with QCD sum rules

open access: yesEuropean Physical Journal C: Particles and Fields, 2017
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
doaj   +1 more source

Power laws in physics

open access: yesNature Reviews Physics, 2022
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.
openaire   +2 more sources

Wind farm power forecasting by physical data fusion

open access: yesZhongguo dianli
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
doaj   +1 more source

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