标签归档 上海私人后花园

Last night and this morning, the 37th round of the Premier League was in full swing. Avonii won the goal, Nottingham Forest beat Arsenal 1-0, Nottingham Forest won the relegation task ahead of schedule, and Arsenal lost and sent Manchester City to win three consecutive championships ahead of schedule. Casemiro barbed the door, and Manchester United’s 1-0 Bournemouth Champions League seat next season is close at hand; Watkins missed the goal, firmino scored a goal, and Liverpool scored 1-1 at Aston Villa. Although the Red Army has a glimmer of hope to enter the top four, it is already slim.

Nottingham Forest 1-0 Arsenal’s game, after being overtaken by Manchester City for more than half a season, young Arsenal obviously couldn’t bear it psychologically and lost points in successive games. In the 19th minute, Odegard made a mistake in passing the ball, Nottingham Forest made a quick counterattack, and White assisted Avonii to score the only goal in the game. Since then, although Arsenal tried to launch a counterattack, they did not get a good chance to break the door.

After the game, Arteta admitted that losing was his responsibility. He also said that the team had been leading for a long time but did not win the championship. On the one hand, it was a little regrettable, on the other hand, it also showed that it was still not in place. In 248 days, Arsenal became the longest leading team in the five major leagues but failed to win the championship. Manchester City won the league title for the fifth time in six years, and it is also the second team in the Premier League to win three consecutive championships.

Manchester United’s 1-0 match in Bournemouth, before the game, Manchester United goalkeeper Degea won this season’s Der goldene Handschuh Prize with 160 games. In the 8th minute of the game, Eriksson passed the ball to the restricted area, which was first tackled by the defender, and casemiro followed up with a barb to help Manchester United get a dream start of 1-0. Since then, the two teams have been attacking and defending each other, and Degea has once again devoted himself to the game. After winning this game, Manchester United basically locked in the qualification for next season’s Champions League.

Liverpool’s 1-1 Aston Villa game was the home curtain call performance of firmino, a meritorious player of the Red Army. In the 22nd minute, konate sent a spot in the penalty area, but unfortunately Watkins missed the penalty kick and Aston Villa missed the lead. In the 27th minute, Liverpool was the first to concede the goal. Ramsey scored a header after receiving a pass from his teammates in the restricted area, and Villa led 1-0. In the 89th minute, Salah assisted firmino to score a goal in front of the goal, helping the Liverpool draw 1-1. This goal is also the last swan song of the Red Army Erxia at home. How can the Red Army fans not burst into tears?

Other match results: Wolves 1-1 Everton, Fulham 2-2 Crystal Palace, Tottenham 1-3 brentford. The relegation teams will be in Everton, Leeds United and Leicester City, and two of the three teams will be relegated, which is a bit cruel.

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.