Related topics: galaxies · model

Next step in simulating the universe

Computer simulations have struggled to capture the impact of elusive particles called neutrinos on the formation and growth of the large-scale structure of the universe. But now, a research team from Japan has developed a ...

Chemical compounds in foods can inhibit a key SARS-CoV-2 enzyme

Chemical compounds in foods or beverages like green tea, muscadine grapes and dark chocolate can bind to and block the function of a particular enzyme, or protease, in the SARS-CoV-2 virus, according to a new study by plant ...

Pulsating aurora: Killer electrons in strumming sky lights

Computer simulations explain how electrons with wide-ranging energies rain into Earth's upper and middle atmosphere during a phenomenon known as the pulsating aurora. The findings, published in the journal Geophysical Research ...

Researchers prove water has multiple liquid states

Water is a ubiquitous liquid with many highly unique properties. The way it responds to changes in pressure and temperature can be completely different from other liquids, and these properties are essential to many practical ...

Demise of a glacier, uncovering a fjord

The Hardanger region in southwestern Norway is famous for a mild climate, steep rock walls and delicious apples. Towards the end of the last Ice Age, things were different. Climate was frigid, too cold for humans to settle, ...

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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.

This text uses material from Wikipedia, licensed under CC BY-SA