Related topics: galaxies · model

'Bottom-heavy squirmers' adopt characteristic group behaviours

From starling aberrations to self-turbulent fluids, 'active systems' encompass a wide family of phenomena in which individual objects propel themselves forward, allowing them to display intriguing collective behaviors. On ...

Elucidation of nanostructures in practical heterogeneous catalysts

Scientists from Japan Advanced Institute of Science and Technology (JAIST) and University of Torino (UNITO) have cooperatively clarified the nanostructure of the heterogeneous Ziegler-Natta catalyst by means of combined synchrotron ...

Quantum simulators for gauge theories

To simulate in a laboratory what happens in particle accelerators has been an ambitious goal in the study of the fundamental forces of nature pursued by high-energy physicists for many years. Now, thanks to research conducted ...

Membrane nanopore transport gets picky

Trying to determine how negatively charged ions squeeze through a carbon nanotube 20,000 times smaller than a human hair is no easy feat.

Machine-learning tool could help develop tougher materials

For engineers developing new materials or protective coatings, there are billions of different possibilities to sort through. Lab tests or even detailed computer simulations to determine their exact properties, such as toughness, ...

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Simulation

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

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