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Sneijder on the Champions League final: Facing Barcelona in 10 years, people also think that we are doomed to failure.

Live on May 21st, when interviewed by Gazzetta dello Sport, Inter Milan star Sneijder talked about the 2010 Champions League semi-final and the upcoming Champions League final between Inter Milan and Manchester City.

Do you still remember the stadium atmosphere when you faced Barcelona in the semi-final of the Champions League in 2010?

"Of course, the scene is like a fairy tale, and I will never forget it. The San Siro will be unique on some nights. The scene against Milan the other day reminds me of the stadium atmosphere when I played against Barcelona in the Champions League semi-final 13 years ago. Accompanied by Materazzi, the’ crazy’ brother, it is even more interesting. "

Do you think Inter Milan have a chance to win the championship against Manchester City this time?

"There is no impossible game. Of course, there are difficult games, but in a single round, anything can happen and Inter can achieve anything. In addition, when facing Barcelona in 2010, people also felt that we were doomed to fail, but on the contrary, we proved that we could compete with Barcelona and win the game. "

In 2010, you won the semi-final against Guardiola’s almost perfect team. This time Inter Milan will face Guardiola again. Do you think Inter Milan can win in the same way?

"The team is different, the player structure is different, and football has also changed. Guardiola has been making tactical innovations, and he has an extraordinary team. Although Guardiola’s frontcourt is gorgeous, the defense line is not airtight, and there may always be some gaps. Then in terms of physical confrontation, Inter Milan is great, Inter Milan is very organized and disciplined, and can give feedback when facing Manchester City. "

But Manchester City has Harland. He is like a monster. How will you stop Harland?

"Harland may be the most destructive center player in European football at present, but no team can win by one player alone. In this case, Inter must work together with Qi Xin, and the whole team will participate in the defense. However, there are too many threatening players in Manchester City, so it is useless to just pay attention to and defend Harland. They also have De Braune and Mahrez, who have defended Harland. Maybe De Braune will seek shooting opportunities and defend De Braune. Maybe Mahrez is empty again. Inter Milan must unite as one, not afraid of strong enemies, and hold their heads high. "

Can lautaro be a key Mr Milito?

"That’s what I think, lautaro and Milito are Argentine fighters. Lautaro can follow Zanetti’s example. In the derby, lautaro wore the captain’s armband of Inter Milan. I think lautaro has the appearance of Zanetti and Milito, and he can be a beautiful fairy tale of the Nerazzurri. "

Lautaro is on the shortlist for the Golden Globe Award. If he can play a key role in the Champions League final, do you think lautaro deserves the Golden Globe Award?

"lautaro must think that winning the Champions League with Inter Milan is the best thing. Moreover, lautaro has won the World Cup, which is a very heavy trophy. In general, I think lautaro is very strong, he is still growing, and now he is at the peak. "

Artificial intelligence replaces manual labor, uses machine learning to carry out scientific research and match the best alloy!

A large group of researchers found that machine learning can be used to help metallurgists find the best metal mixture to make the required alloys. In this way, they found an alloy with a thermal coefficient lower than that currently recorded.

The research was carried out by scientists from Max Planck Institute for Iron Research, who cooperated with colleagues from darmstadt University of Technology, Delft University of Technology and Royal Institute of Technology.

For thousands of years, people have been mixing metals according to their own needs and learned a lot about alloy manufacturing. But finding the right combination always requires some inspiration, patience and luck.

Therefore, most alloys are made from a single base metal (such as iron), and the obtained characteristics are observed by adding a small amount of other metals.

However, in the past few decades, the situation has begun to change-some researchers have begun to make alloys containing several metals in equal parts.

Of course, it is much more difficult to make this alloy with specified characteristics. In this new work, researchers apply machine learning to help this process. They first reduced the test space to only one application-making alloys that will not expand and contract too much when exposed to temperature changes.

In order to create a machine learning application, researchers searched and found metal features that can be used for comparison purposes, and then trained their systems using the information in the currently available databases. In the process, they developed a process to find an alloy suitable for the required goal.

The team’s process was reduced to three main steps: First, they created a new mixture using a model based on information stored in a database describing metal characteristics. Then, they use the second model to help predict the properties of some alloys they created in the first step. The last step is to study the candidate alloys produced by the system and select some of them for practical testing.

Using this system, the researchers obtained 1000 candidates, which were narrowed down to three alloys. Then, they made three kinds of alloys using the mixture described in the system and tested their physical properties.

The team used data from real alloys to train the system and repeated the whole process. They chased it for seven times and found an alloy with a thermal coefficient lower than the current record.

In their paper published in the journal Science, the team described their three-step process and its performance in the test. Scientists from the Institute of Metals, Chinese Academy of Sciences published an article on the prospect in the same issue, describing the work done by the team on this new project.

Reference: https://techxplore.com/news/2022-10-machine-optimal-mixture-metals-desired.html.