Related topics: galaxies · model

The mathematics of prey detection in spider orb-webs

Spider webs are one of nature's most fascinating manifestations. Many spiders extrude proteinaceous silk to weave sticky webs that ensnare unsuspecting prey who venture into their threads. Despite their elasticity, these ...

A new view for glasses

Researchers at the University of Tokyo introduced a new physical model that predicts the dynamics of glassy materials based solely on their local degree of atomic structural order. Using computer simulations, they showed ...

An alloy that retains its memory at high temperatures

Using computer simulation, Alberto Ferrari calculated a design proposal for a shape memory alloy that retains its efficiency for a long time even at high temperatures. Alexander Paulsen manufactured it and experimentally ...

Grain boundaries in graphene do not affect spin transport

Researchers from the ICN2 Theoretical and Computational Nanoscience Group as well as the Université catholique de Louvain have used numerical simulations to show that spin diffusion length is independent of grain size. The ...

Industrial bread dough kneaders could use physics-based redesign

Bakers have been crafting bread for more than 6,000 years with four simple ingredients: flour, salt, water and yeast. Apart from using high-quality ingredients, the kneading process and amount of time the dough is given to ...

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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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