2021-12-19

Chapter 480 Choice

Looking at each item of data submitted by Peyton and the conclusion of the experiment, Steinman kept moving Nominate.

The various experimental data obtained in it are almost indistinguishable from their conclusions in terms of accuracy.

And Peyton was able to make such a result in a short period of time, which naturally satisfied him.

He was able to give No. 11 material to Peyton for research, of course, because it is a “material” that has been fully researched and has been thoroughly mastered. Various effects of this material have been obtained in experiments. Countless verifications.

This is no-secret material, and it’s just right for novice research.

After a while, from the conclusion of Peyton’s experiment, Steinman admired the word “active metal” for a while: “Yes, I actually discovered the essence of this No. 11 material!”

When they discovered the No. 11 material in fluid form, they took a big detour due to its properties and spent a lot of effort in discovering the essence of the material.

Of course, that was half a century ago, and considering the experimental conditions at the time, coupled with Peyton’s innate talent, it was normal.

“But there are limits to genius. I’ll give you a good lesson later!”

Professor Steinman smiled, ready to teach Peyton a good lesson.

He threw this material to Payton, not only to test Payton’s current state, but also to dampen Payton’s spirit.

A genius who wants to leave a name in the history of mathematics at a young age, pride is as it should be by rights.

But excessive pride is not good for the research of higher civilizations. For the achievements of higher civilizations, these researchers need to have a more humble and even religious heart.

Perhaps Peyton has come to an end in the field of mathematics, but there is still a long section of the road to go in fields such as physics.

In order to avoid Peyton’s frustration in order to cause irreversible results in the laboratory, it is a step that every innate talent researcher will go through when entering the laboratory.

And most of the beginning of this step is No. 11 material, who said there is a big hole in this material?

I thought to myself, organizing the language, and suddenly, Steinman’s face changed, and he carefully confirmed the above content.

After a long time, he put down the experimental report in his hand, and was silent for a while, opened the mouth and said: “How did you find the similarity between No. 11 material and plants?”

Naturally, Peyton would not Said to be the formation of the system, organize the language a little, he said: “Because of a model!”

“Model? What model?”

“Teacher, you understand computational materials science. Is it?”

Steinmen nodded, as a master of materials physics, he naturally understands this emerging field of materials.

Even their labs have computers for processing large-scale data, and there are researchers in this direction. As a cutting-edge materials science leader, he is accustomed to using supercomputers to process data.

The so-called Computational Materials Science is an interdisciplinary subject of materials science and computer science. The subject of computer simulation and design is the “computer experiment” in materials science research.

It involves many disciplines such as materials, physics, computer, mathematics, chemistry, etc. It belongs to an emerging discipline.

With the development of science and technology, the system of scientific research is becoming more and more complex, and the traditional analytical derivation method is no longer enough, or even powerless.

The development of computer science and the continuous improvement of computer computing power provide new means for the study of complex systems.

Computational materials science, a new discipline that takes a typical complex system such as materials as its research object, also emerged and developed rapidly.

For complex systems, because theoretical research often cannot give analytical expressions, or even if analytical expressions can be given, they often cannot be solved, so the guiding significance for experimental research is lost.

On the contrary, the experimental research without theoretical guidance can only be based on the original work, according to the scientific research personnel’s experience understanding, analysis and judgment, repeated exploration and repeated experiments under various technological conditions.

The fundamental reason for the disconnect between theoretical research and experimental research is not the theory and the experiment itself, but because people seek to reflect the objective reality comprehensively, which makes the theoretical system complex and requires huge data support.

Of course, the current computational materials science was born with the development of computers, and is still in an emerging state, far less important in the future.

Now Steinman doesn’t understand, what is he doing when he mentions computational materials science?

Although the computational materials science has made preliminary progress in the field of organic synthesis, the mainstream method is still to repeat the test continuously, analyze the properties of the material, and then do the test, and then analyze, Finally, a suitable result is obtained.

He does not think that there is a necessary connection between the study of No. 11 material and the phase property of plants.

Therefore, Steinman’s face was full of curiosity at this time, which was scholar’s instinctive thirst for unknown knowledge, not to mention that this knowledge was related to his own research direction.

Looking at Steinman’s curious face, Peyton suddenly realizes he’s found a big project.

Or a brand new field, a field that has not yet been developed, in which his innate talent can exert the greatest effect.

“A mathematical model!” said Payton.

“Math and computers?” Steinman vaguely realized something, but he was still full of confusion.

Seeing the appearance of his tutor, Peyton chose to forgive, which is the forgiveness instinct of a mathematician for the scumbag instinct.

The most important reason why mathematical research, especially theoretical mathematics, can always stand at the top of the chain of contempt is that this discipline stands at the top of IQ, and great mathematicians have an instinctive sense of superiority.

The rest of the disciplines are learned by people with insufficient IQ. You can’t understand what I study!

For example, even now, even if Peyton told Steinman his research findings in detail, the other party would express his inability to do anything because of his “shallow” mathematical knowledge.

I don’t understand it!

It’s a daze.

Don’t doubt this, Peyton’s paper on Hodge’s conjecture, people who can really understand it, there are less than 20 people in the world, most of them are top mathematicians, and there is absolutely no Steinman among them. .

To be precise, most Nobel Prize winners are mathematicians.

In the end, for many non-mathematical researchers, mathematics is just a tool.

They just need to know how to use it, but they don’t necessarily need to know, at least not in-depth.

Steinman, the Nobel Prize winner, does not have the foundation to understand Peyton’s thought.

Mathematics is the foundation of all disciplines. As a big mathematician, he is studying materials physics. At the time.

Peton instinctively established a mathematical model in his mind, and used the mathematical model to cooperate with big data analysis to deduce the results of the material and narrow the scope of the experiment, which can play an extremely powerful effect in the experiment.

It will even become the trend of material science in the future.

Although the relationship between this material and plants is known from the system…

“Establish a mathematical model, use computer thinking to narrow the scope of the experiment…”

Payton said simply.

Steinman seemed to understand nodded: “Tell me about it in detail.”

Looking at his unwilling teacher, Peyton shook his head, he didn’t want to hit you Yes, didn’t you deliver it to the door yourself?

Since you want to hear it, let you understand it.

“In order to analyze the cognitive materials as a whole and avoid the influence of other factors, my initial idea is to use the Early-Stage of the condensed matter stage as the starting point to judge various phase problems. “

“Using mathematical thinking, we can regard the condensed state of this fluid as a spherical cap-like crystal nucleus deposited on a flat substrate, which is a three-dimensional spherical surface in the abstract. We can set θ is the contact angle, r is the radius of curvature, a is the radius of the contact surface, and γ is the surface tension…”

Some things are just not clear.

After thinking about it, Peyton took the marker on the table and wrote on the whiteboard.

【Sv=(π/3)(2+cosθ)(1-cosθ)】

【Gt=(Gf+zFη/Ω)Svr+γSAr+(γSN-γSE )πrsinθ]

The more formulas you write on the whiteboard, the more you write.

The tip of the pen jumps on the whiteboard, and lines of calculations pop out.

The entire mathematical model is like a carefully constructed skeleton, supporting the blood and flesh of the research results.

Being aware of every detail of it, Payton can deduce it on the spot fluently even if he has not recited it deliberately.

At this time, Steinman’s eyes were fixed on the whiteboard, for fear of missing a detail.

Vaguely, he could realize how important knowledge this is and how much help it can bring to his experimental work.

Maintaining full concentration is like learning a whole new body of knowledge.

Steinman has rarely had such an experience since he was forty years old.

By that time, he had already established himself as an authority in the field.

However, even so, he has begun to fail to keep up with Payton’s train of thought.

“Stop!”

Professor Steinman took a deep breath, pointed to a formula, opened the mouth and said: “The derivation of this formula will be explained in detail.”

Peyton glanced at the derivation process of this formula, which involved some quantum formulas, interspersed with some topological theories, and integrated mathematics and physics, even experts in condensed matter It is not necessarily a quick understanding, and it is indeed not something that ordinary Nobel laureates can understand.

Payton briefly talked about the conversion process, and Steinman seemed to understand nodded.

The derivation of Peyton’s mathematical system continues. On the whiteboard, neat rows of formulas are placed in neat rows, full of mathematical charm and infinite mysteries.

“According to the relevant conclusions, we can draw the compatibility between the phase and the plant. After doing the experiment, the result is officially verified.”

Payton said relaxedly and put it down. pen in hand.

And Steinman looked at the formula on the whiteboard, but his heart was full of helplessness, and his mind was in chaos.

At this stage of Payton’s “mathematical model”, he has begun to understand many things on the whiteboard.

It’s not that he doesn’t understand mathematics, he just hasn’t studied it so deeply.

After all, materials science is an experiment-based discipline, and most of the data are made, not calculated.

But now someone tells him that a mathematical model can actually create something from nothing, and get the experimental results before the experiment.

He seemed to have no better way than to doubt life.

Vaguely, he could see that Peyton’s report contained knowledge of topology, fluids, geometry, etc., many of which involved his blind spots.

Perhaps, he has to take the time to study it, Steinman thought helplessly.

If Payton knew what he was thinking, he would have persuaded him to give up.

Perhaps Steinman has this innate talent, but his energy can’t keep up.

“Peton, you are a genius. You have redefined my understanding of materials physics. Regarding information materials science, you can completely reshape this discipline and become its founder.”

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Peyton smiled slightly: “It’s just some little tricks, little tricks, it’s not enough to establish a discipline.

(End of this chapter)

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