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Everyone has their own dreams for the future, and I, as a girl, also have my own unique ideals and pursuits. In this world full of opportunities and challenges, I firmly believe that my future is not a dream.

The power of education

Education is an important way to realize dreams. As a girl, I know the importance of education. Through studying, I can broaden my horizons, improve my ability and lay a solid foundation for realizing my dreams. Therefore, I will study hard, get excellent results in all fields, and lay the foundation for entering an ideal university.

vocational development

In the future career development, I will strive to pursue my passion and interest. Whether I choose to engage in science and technology, medicine, art or other fields, I will devote myself to it and constantly improve my professional skills and knowledge. Through continuous efforts and accumulated experience, I believe I can stand out in the workplace and become a leader in the industry.

independent

As a girl, I pursue an independent lifestyle. I believe that I have the ability to deal with all kinds of challenges and difficulties. No matter in the face of academic pressure or workplace competition, I will stick to my beliefs and bravely face and solve problems. I believe that I can become a strong and confident woman through continuous exercise and growth.

Aggressive

In order to realize my dream in the future, I will keep a positive attitude. No matter what difficulties and setbacks I encounter, I will learn from them and bravely meet the next challenge. I believe that every effort will make me stronger and more mature.

social responsibility

As a girl, I also have the consciousness of fulfilling social responsibility. I will pay attention to social issues and take an active part in public welfare activities. By dedicating myself, I hope to contribute to social development and progress.

tag

My future is not a dream. As a girl, I have unlimited potential and opportunities. Through the power of education, I can realize my dream. Adhere to an independent lifestyle, keep a positive attitude and fulfill social responsibilities. I believe I can create a future full of hope and possibility. Let’s pursue our dreams and create a better tomorrow together!

The incident of Zhao Wenqi’s unmarried children revealed another kind of family concept conflict. Zhao Wenqi released photos of unmarried children, but there was no husband. Netizens have speculated whether there is a hidden problem of marriage self-discipline behind this behavior. During the development of the whole incident, the social discussion on women’s self-discipline gradually warmed up, and Zhao Wenqi became the focus of the topic.

Finally, we focus on the libel of Zhao Liying. Rumors that suddenly broke out on the Internet accused Zhao Liying of tax evasion, which seriously endangered her reputation. Fans found that these rumors originated from other celebrity cases, and officials quickly dismissed them. While the rumor maker apologized to Zhao Liying, the incident revealed the harm of online rumors and called on the public to rationally identify information.

On the whole, the entertainment circle of this day is surging, and the stars are facing severe tests in family, marriage and moral choice. These events reflect the ups and downs of the entertainment circle, and the stars are always facing public scrutiny and comments under the dual pressure of public opinion and social media. This also makes us ponder, under the aura of stars, whether they are also facing trivial and real life problems like ordinary people, as well as many disturbances of family and marriage.

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.