Allied Academies

Computational Material Science

Computational Material Science

An area of Materials Science called Computational Material Science uses computational techniques to comprehend the characteristics and behaviour of materials. Examples of these techniques include computer simulations and modelling. It enables scientists to predict the behaviour of substances at the atomic and molecular levels, which is often difficult or impossible to investigate experimentally. By enabling researchers to predict the behaviour of materials and create novel materials with particular features, Material Science offers an invaluable tool for Smart Material design. In order to enhance a material's qualities, processing might be optimised. The market for automobile interior materials is estimated to be worth USD 46.63 in 2018 and is expected to reach USD 55.41 billion by 2023, growing at a CAGR of 3.5%.

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