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New quality materials beyond present-day semiconductors

New materials that supersede present-day semiconductors

How do remarkable properties of matter emerge from complex correlations of the atomic or electronic constituents, and how can we control these properties? 

In this article from — your go-to source for the latest information on AI systems and AI applications — we’ll explore this topic in more depth.

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Emergent phenomena, in which a difficult outcome occurs from the correlated interactions of many simple components, can be widely seen in nature. Examples include the exchange of neurons in the human brain results in mind, the freezing of water, or the giant magnetoresistance behavior that powers disk drives. If we can learn the fundamental rules of correlations and emergence and then learn how to control them, we could produce, among many possibilities, an entirely new generation of materials that supersede present-day semiconductors and superconductors.

One possible approach to controlling emergent properties is through complex models and simulations, which can capture the intricate interactions between individual particles or atoms. Another system is to directly manipulate these interactions at a macroscopic scale by engineering new materials with precisely tailored properties. We can better understand how matter behaves on a fundamental level and potentially develop new materials with remarkable properties that could revolutionize many different fields through these methods. Thus, while the emergence of complex phenomena in nature may seem daunting or even random, it is ultimately driven by well-defined rules and principles that we can harness and control through various techniques.

Despite their importance, emergent phenomena are still not fully understood and remain an active area of research. One challenge is that these phenomena often involve many interacting components, making them challenging to study using traditional methods. However, recent advances in computing power and data analysis have allowed us to develop new techniques for understanding and controlling these phenomena. For example, artificial intelligence and machine learning algorithms can automatically identify patterns in data that would be difficult to discern by human inspection. We can learn about the hidden rules governing emergent phenomena and develop new ways to control them.

In summary, emergent phenomena are a fascinating area of research with the potential to revolutionize many different fields. By understanding the rules governing these phenomena, we can develop new methods — such as intricate AI systems and AI technology — for controlling them, unlocking a world of possibilities for new materials and technologies.

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