How can I help create materials to reduce pollution?

Among the applications of artificial intelligence, one of them is to help research find materials that help reduce air pollution, because the search for Professor Mahshid Ahmadi has sought from science and materials engineering at the University of Tennessee.

With the help of AI and robots, Ahmadi and his colleagues test the different types of a material called photocatalyst, which absorbs light to reach a high level of energy, from which reacts with another substance.

In the case of pollution, photocatalysis degrade the substances responsible for air pollution by absorbing sunlight. In this way, these materials can help reduce the level of pollution.

Photocaters have become one of the most promising technologies for air purification and are targets of several research in the past two decades. Some of the advantages offered by these materials are the need for other substances or a source of energy for the reaction, with the exception of light, as well as the fact that they offer security and are not toxic.

However, the air purification of photocatalysis also has limits. One is a slow treatment rate. In addition, the reaction can be quite affected according to the structure of the surface of the catalyst. Many research is still necessary to understand the most effective forms to use these materials to reduce pollution.

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Consequently, Professor Ahmadi even underlined in an article of The conversation The need to explore different photocatalysis materials to act and reduce pollution. But there are thousands of them, and this is where artificial intelligence comes into play.

How can I help create materials to reduce pollution?

In February of this year, the teacher and other colleagues published in the magazine Material chemistry a combined study of robots, experimental calculation simulations and Automatic learning.

With the use of robots, at least 100 different materials can be tested in an hour. These machines can move with precision to carry out tests and thus discover more characteristics of these materials which help when reducing pollution.

Already the Automatic learning Guide the process. Algorithms can analyze data from agile experiences and learn for the next tests carried out by robots. Algorithms of Automatic learning They quickly perceive algorithms and models.