A race to solve the COVID protein puzzle

Among the many unknown factors in the science of COVID-19, one involves the structures of the proteins that make up the exterior of the coronavirus. A coronavirus particle has multiple proteins, including the familiar spiky ...

Much improved climate predictions from statistical mechanics

A study from the European Horizon 2020 TiPES project confirms that the large uncertainties of climate models used in the IPCC reports might be reduced considerably by the use of statistical mechanics. The technique, which ...

New opportunities for ocean and climate modelling

In their model simulations, climate researchers always have to make compromises. Even with the largest computers available worldwide, they can only reproduce the real world to a limited extent. Depending on the application, ...

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Simulation & Modeling for Acquisition, Requirements, and Trainin

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