Using big data to design gas separation membranes, reduce CO2
This article talks about a new method that combines big data and machine learning that can reduce CO2.
They apply machine learning to design and develop gas separation membranes faster and more efficiently.
They developed a new machine learning algorithm that will match the chemical structure of polymers with their gas transport properties, after doing this, they can have an idea of which structure makes the best membrane. After this process, they also apply the algorithm to 10 thousand known polymers to see which would produce the best material.
This algorithm was tested by synthesizing two of the most promising polymer membranes predicted by this approach and the results were really great. The results exceeded the upper bound for CO2/CH4 separation performance.
They also added that this method could also be extended to other membrane materials and could affect next generation's batteries and technologies for water purification.
In my opinion, working to reduce CO2 is really important because it is a threat for our environment and nature. I think every company should work to try to reduce CO2 as much as possible to preserve our environment and nature. Only if everyone works together to try to minimize the effects of these problems we can make it better. So I think that their iniciative of using big data for this purpose is really nice and I hope it works and can be widely used.
In my opinion, working to reduce CO2 is really important because it is a threat for our environment and nature. I think every company should work to try to reduce CO2 as much as possible to preserve our environment and nature. Only if everyone works together to try to minimize the effects of these problems we can make it better. So I think that their iniciative of using big data for this purpose is really nice and I hope it works and can be widely used.
I found this article really interesting, however it can be a little bit confusing and difficult to read because there are a lot of really specific and scientific words in it. If you are interested in the topic you should definitely check it out!
Link to the article: https://www.sciencedaily.com/releases/2020/05/200515225304.htm
Student ID: D0766156
Name: Erick
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ReplyDeleteIts such a nice article!
ReplyDeleteCo2 is the crisis problem in the world. we have to do some effort to solve it, but there is a limit to individual efforts. So I think government should take the lead to use BigData to solve this big problem. The increase in carbon dioxide (CO2) concentration in the atmosphere slowed down around Tokyo from January to April this year. It was observed by the greenhouse gas observation technology satellite "Ibuki" and announced by the Japan Aerospace Exploration Agency (JAXA). It seems that economic activity is stagnant due to the spread of new coronavirus infection. Let's set the cooling temperature 1 degree higher and the heating temperature 1 degree lower. By adjusting the incidence of sunlight using a curtain and incorporating Cool Biz and Warm Biz, you can spend without relying on the air conditioner. Let's wait a little while before starting air conditioning. It is possible to reduce CO2 by approximately 33 kilograms annually. Take showers one minute a day for the whole family. Reduction of approximately 69 kilograms of CO2 annually. Let's stop idling for 5 minutes a day. When parking or stopping for a long time, turn off the car engine. It also helps reduce emissions of air pollutants. CO2 reduction of approximately 39 kilograms per year.