Results 21 to 30 of about 9,853,002 (405)

Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study

open access: yesFrontiers in Physiology, 2018
Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with an acceptable long-term success. Although the location of ectopic foci tends to appear in specific hot-spots, they can be located virtually in any atrial region ...
Eduardo Jorge Godoy   +6 more
doaj   +1 more source

Computer simulation of channel processes [PDF]

open access: yesE3S Web of Conferences, 2019
The article discusses the results of numerical studies of flow movement with a sharp change in the channel parameters. The numerical study of the flow in the channels and rivers creates the possibility of a multivariate forecast of channel processes ...
Shokirov B   +4 more
doaj   +1 more source

Computer Simulation Using Particles

open access: yes, 1966
Computer experiments using particle models A one-dimensional plasma model The simulation program Time integration schemes The particle-mesh force calculation The solution of field equations Collisionless particle models Particle-particle/particle-mesh ...
R. Hockney, J. Eastwood
semanticscholar   +1 more source

Exact Ising model simulation on a quantum computer [PDF]

open access: yesQuantum, 2018
We present an exact simulation of a one-dimensional transverse Ising spin chain with a quantum computer. We construct an efficient quantum circuit that diagonalizes the Ising Hamiltonian and allows to obtain all eigenstates of the model by just preparing
Alba Cervera-Lierta
semanticscholar   +1 more source

Computer Simulation of Asphaltenes

open access: yesPetroleum Chemistry, 2018
The review describes theoretical approaches based on computer simulations at various levels of details (from quantum chemical calculations to atomistic and coarse-grained models) to study asphaltenes and systems containing asphaltenes. The used methods are described, their advantages and disadvantages are discussed in terms of computational costs and ...
S. V. Lyulin   +9 more
openaire   +3 more sources

Evolutionary computer simulations [PDF]

open access: yesPhysica A: Statistical Mechanics and its Applications, 2002
10 pages, plain TEX, no figures, STATPHYS ...
openaire   +3 more sources

Efficient Algorithms for Universal Quantum Simulation [PDF]

open access: yes5th International Conference on Reversible Computation (RC 2013), Victoria, BC, Canada, July 4-5, 2013. Proceedings. Lecture Notes in Computer Science Volume 7948, 2013, pp 1-10, 2013
A universal quantum simulator would enable efficient simulation of quantum dynamics by implementing quantum-simulation algorithms on a quantum computer. Specifically the quantum simulator would efficiently generate qubit-string states that closely approximate physical states obtained from a broad class of dynamical evolutions.
arxiv   +1 more source

Instability of Reissner–Nordström black hole in Einstein-Maxwell-scalar theory

open access: yesEuropean Physical Journal C: Particles and Fields, 2019
The scalarization of Reissner–Nordström black holes was recently proposed in the Einstein-Maxwell-scalar theory. Here, we show that the appearance of the scalarized Reissner–Nordström black hole is closely related to the Gregory-Laflamme instability of ...
Yun Soo Myung, De-Cheng Zou
doaj   +1 more source

A framework for evaluating epidemic forecasts

open access: yesBMC Infectious Diseases, 2017
Background Over the past few decades, numerous forecasting methods have been proposed in the field of epidemic forecasting. Such methods can be classified into different categories such as deterministic vs.
Farzaneh Sadat Tabataba   +6 more
doaj   +1 more source

Fluid Simulation System Based on Graph Neural Network [PDF]

open access: yesarXiv, 2022
Traditional computational fluid dynamics calculates the physical information of the flow field by solving partial differential equations, which takes a long time to calculate and consumes a lot of computational resources. We build a fluid simulation simulator based on the graph neural network architecture. The simulator has fast computing speed and low
arxiv  

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