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Research team of Northeast University strives for the first time

Realize new breakthroughs in multiple frontier technology fields

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PART.1

Research on the New Aluminum -based composite material research

Out of important progress

Recently, the scientific research team of the School of Materials Science and Engineering of Northeast University has made important progress in the research of high MG content Al (MG) alloy base composite materials: AL (MG) matrix of the ultra-fine crystal high MG content AL (Mg) -al3mg2 composite material The high density stacking layer was found in the middle. This discovery has innovated the traditional cognition of high -density stacking layer due to high layers of errors. The relevant research results are published in Composites Part B: Engineering (composites part B: 245 (2022) 110211) journal

It is generally believed that under the action of conventional external loading loads, low -level fault -faced cubic metals (such as AG = ~ 20 MJ/m2) can occur at the same time, which can occur in the same lattice and transformed twin; ~ 166 mj/m2) only moved the lattice bit. The alloying method can greatly reduce the layer of error capacity of metal materials, but for AL, the layer error of the material can not be sensitive to the alloying effect. Through the alloyization, it can only reduce the layer errors. Therefore, in the traditional coarse crystal, (The average grain size is greater than 1 micron.) Among the aluminum alloy materials, high -density stacking layer is rarely observed.

Research on metal -based composite materials in the past showed that there was a difference in thermal expansion coefficient between enhanced body and metal matrix. This difference caused thermal stress at the interface of the exotic interface of rapid cooling samples, and then drove the interface to the soft phase metal substrate to launch geometry. Dislocation. In addition, some studies have found that when AL's grain size is lower than the critical size value, the plastic deformation of the material will occur from the transformation of a full -bodied orientation incomplete or wrong. By designing the heterogeneous interface with obvious different thermal expansion coefficients and the size effect of plastic deformation, the research has been successfully introduced to the ultra-fine crystal Al (Mg) -al3mg2 composite material. 1 shown. Based on the calculation of the first principle, the error of the Al-MG alloys can be significantly reduced with the rise of temperature, which may be one of the reasons for forming a high-density stacking layer. In addition, the ultra -fine crystal structure may be the second key factor that helps the crystal world/interface launch stacking layer. The study found not only broaden the awareness of lattice defects of aluminum -based materials, but also provides an important theoretical basis for designing high -strength aluminum -based materials based on high -density stacking layers.

Figure 1 High density stacking layer in the ultra-fine crystal Al (Mg) -AL3MG2 composite material

The first author of the paper was associate Professor Zhou Dengshan of Professor Zhang Deliang. He studied cooperating with Professor Junjun, Southern University of Science and Technology, and Professor Dierk Raabe, Germany. The study received project support from the National Natural Science Foundation of China (fund: 51701036) and the project support of the Liaoning Provincial Xingliao Talent Program (Fund Number: XLYC1802080), as well as the help of the Northeast University Analysis and Test Center.

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PART.2

Northeast University College of Science and Technology in response to neutral hydrogen intensity mapping the sky

Important progress has been made on the key issues of prospects

Recently, the team of Professor Zhang Xin of the School of Law of our school has made important progress on the key issues of the reduction of neutral hydrogen -to -mapping the sky. The study pointed out that the use of deep learning algorithms can effectively eliminate the effects of telescope system effects in the reduction of neutral hydrogen schedules, thereby promoting and completing the obstacles to the advancement and completion of major scientific tasks such as Dark Energy's accurate measurement.

Ni Shulei and doctoral student Gao Lilei and doctoral student Gao Liyang completed the study under the guidance of Associate Professor Li Yichao and Professor Zhang Xin.研究结果以《Eliminating Primary Beam Effect in Foreground Subtraction of Neutral Hydrogen Intensity Mapping Survey with Deep Learning》为题，发表在国际一流天文学期刊《天体物理期刊》（The Astrophysical Journal），受到该领域同行的广泛关注。

The hydrogen element is widely existed in various evolutionary periods of the universe since the darkness. The 21 cm spectrum line after cosmic red shift carries important information about the evolution of the universe. Observation of the 21 cm spectrum line is to study the origin, evolution of the universe, and solve many solutions to many. Important ways to major issues of cosmic science. After the universe is ionized, the neutral hydrogen is mainly distributed in the galaxy, which is an important tracer in the distribution of dark matter in the universe. By drawing the three -dimensional density distribution of neutral hydrogen in the cosmic space, detecting the power spectrum of dark matter spatial distribution, and then limiting observation of many cosmic problems, it is an important observation method for the future cosmology research of radio power. However, 21 cm radiation in the distant universe space is very weak and contains extremely bright prospects. How to extract a weak neutral hydrogen signal is a major challenge facing the intensity of neutral hydrogen peripherals. In the current prospects, it is mainly divided into blind algorithms and non -blind algorithms. Non -blind algorithms depend on the theoretical assumptions of the prospects, and the effect in actual data analysis is not good. The blind algorithm can to a certain extent to cope with the difficulty of removal of the prospects caused by complex system effects and improve the accuracy of the prospects. However, it usually causes serious signal loss and has certain randomness and instability. Among the many system effects, the system effect caused by the complex wave bouquet of the telescope will greatly increase the complexity of the prospect radiation spectrum, which is the most important system effect. In response to this main problem, the method of trying to adopt deep learning neural networks to improve this dilemma.

The results show that in the case of a simple antenna beam model, the consistency of the neutral hydrogen power spectrum recovered with the U-Net deep learning network recovers the PCA 27.4%than simply increase the PCA; in the case of the real antenna beam model, the U-Net uses U-NET The consistency of the neutral hydrogen power spectrum of deep learning network recovery is 144.7%higher than the PCA simply uses PCA. It can be seen that the outlook reduction method based on the U-NET deep learning network can effectively eliminate the interference signals caused by the complex wave bouquet of telescopes, greatly improve the effect of the prospects, and provide new in the future of neutral hydrogen intensity mapping to the sky. Inspiration.

The research topic has received the focus of the National Natural Science Foundation of China and the project, Liaoning Province's "Xingliao Yingcai Program" leading talent project, central university fundamental scientific research business fee project, intelligent introduction project (111 project) project, China manned space engineering science Research project funding.

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PART.3

The research group of Professor Sheng Ren of Northeast University in the basic research and

Important breakthroughs in the field of clinical transformation

On August 17, the research results of Professor Sheng Ren, the School of Life Sciences and Health of Northeast University, "Aberrantcholesterolism Metabolism and Wnt/β-Catenin Signaling Coalesce Via Frizzled5 Insupporting Cancer Growth" online published on the top international journal SCICINCED SCICINCED. Zheng Shaoqin, the 2019 level of our university, is the first author of this article. Northeast University is the first completion unit. Professor Sheng Ren is the communication author.

For the first time, the study revealed the interaction between cholesterol and important receptor protein FRIZZLED and the molecular mechanism of the protein palmization. It proposed a new concept of FRIZZLED5 as a cholesterol sensor to connect lipid metabolism and key cell signal pathways to promote tumor proliferation. Converting medicine provides new ideas and directions for the treatment of pancreatic cancer.

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PART.4

Undergraduate student at the Department of Physics of Northeast University in the Physics Department of the Department of Physics at the galaxy

Breakthroughs in general relativity inspection

Recently, Liu Xiaohui and Li Zhenhua, a 2018 undergraduate student at the Department of Physics Department of our school, under the guidance of Associate Professor Qi Jingzhao and Professor Zhang Xin of the Gravity wave cosmology and radio astronomy Research Center of Northeast University, completed an use of a broad -gravity lens observation data testing for a broader theory of relativity. The research results, published in the international first-class astronomical journal, "

As one of the cornerstones of modern physics, Einstein's general theory of relativity is the most successful gravity theory, which has been confirmed in all observations that has so far. However, in recent decades, on the one hand, people have pursued the general theory of relativity in higher measurement accuracy, such as the function of separating the time of the monthly separation of the monthly monthly monitoring of the moon laser ranging. The theory of relativity is still effective on the large scale of the universe. Especially after the universe accelerated expansion in 1998, a series of modified gravitational models were proposed to try to explain this phenomenon. The basic idea is: the general theory of relativity is no longer applicable on the large scale of the universe, so it needs to be corrected. The geometric effect drives the accelerated expansion of the universe. Therefore, it is of great significance to test the general theory of relativity on a larger scale. This not only involves the reliability of modern physics cornerstone, but also to help us explore the nature of dark energy. This is also a major in modern physics facing. question. Under the similarity of the weak field, the time and space rules are described by the two potential energy functions, that is, Newtonian potential and curvature, and its ratio is called a poston parameter. Under the theory of general relativity, these two potentials are equal, that is, the post -Newton parameters are equal to 1, and under the framework of non -relative theory, these two potential energy is not equal. So the value of Newton's parameters can be used as a parameter for our test of general relativity. At present, within the scale of the solar system, the limitation accuracy of the post -Newton parameters has reached 0.001%. However, in the scale and larger scale of the galaxy, the limit accuracy is much worse.

Gravity lens is an astronomical phenomenon predicted by the broader theory. It means that when the light emitted from the light source is near the large -quality celestial body, due to the distortion of time and space near the large quality celestial body, the light will be deflected, which will make the observer see the observer to see The imaging of the light source is distorted or multiple image, which is similar to a lens, so it is called a gravity lens phenomenon. In the universe, if large -quality celestial bodies such as galaxies or galaxies are used as a lens, and when the light source (usually a star or galaxy) and an observer are similar on the same straight line, the image of the image will be a multi Circle (that is, Einstein), such an astronomical phenomenon is called "strong gravity lens". In 1979, astronomers observed that the light emitted by the Star -like q0597+561 was bent under the gravity of a galaxy in front of it, forming an image of the same star -like body. This is the first strongly observed case in history Gravity lens incident. Since then, the gravitational lens effect has been one of the important tools of astronomy research (especially cosmic research) in the past 40 years. At present, strong gravity lens data has been widely used in research in cosmology. Because the imaging of a strong gravity lens is closely related to the space -time curvature around the lens galaxy, it can be used to calculate the imaging of the strong gravity lens by using a general theory of relativity. Compared with the distribution of the actual image, the general theory of relativity can be examined.

The Einstein ring generated by Hubble Space Telescope by a strong gravity lens

This paper uses the latest sample library composed of 161 strong gravitational lens data. Combined with the Pantheon sample library that can provide the IA type supernova standard (Pantheon sample library contains 1048 IA supernovas), it can be provided. Restricted, the limit accuracy was 6.4%, of which the prediction of heart values ​​and general theory of relativity meets well within a standard deviation range. This shows that the theory of Guangyi in the galaxy is still effective. It should be emphasized that the result of the paper is by far the most accurate constraint result of the theory of relativity in the galaxy scale.

Utilize the Gaussian process method and the rear Newton parameters and lens model parameters obtained in the cold and dark material cosmology model, the dotted line represents the prediction results of the general theory of relativity

In the future, with the construction and development of the new generation of optical patrol projects, the number of strong gravitational lens samples with higher accuracy will increase greatly. For example, the fourth -generation celestial patrol project currently planned and constructed in my country, and the Chinese Space Station Multi -Functional Optical Tour (CSSST) is planned to be launched in 2024. The 10 -year sky patrol area is about 17,500 square meters. Its high -resolution, multi -wave segment metering and seamless spectrometer patrol will provide high -quality and rich data for the study of cosmology. The observation and research of a strong gravitational lens is one of the important scientific goals of CSST Tiantian. Compared with the third -generation celestial patrol, CSST's sky patrol area is one larger, and the depth of the sky patrol is 1 to 2 stars. Thanks to CSST's large -scale sky patrol area and high space resolution, CSST is expected to observe hundreds of thousands of galaxy -gravitational lens samples in the heavenly area of ​​17,500 square meters. There is no doubt that the observation data of such large samples and high red shifts will play an extremely important role in understanding the evolution of the universe, the nature of dark energy, and the attention of the galaxy scale in the paper. Essence

It is reported that the first completion unit of the thesis is the Department of Physics of the School of Science, the School of Science, and the second completion unit. center. The research topic has received the focus of the National Natural Science Foundation of China and the project project, the leading talent project of the "Xingliao Yingcai Plan" in Liaoning Province, the central university's basic scientific research business fee project, the national college disciplinary introduction base (111 plan), China manned manned Funding of Aerospace Engineering Science Research Projects. The training of undergraduate scientific research and innovation has been obtained by the Institute of theoretical Physics Institute of the Chinese Academy of Sciences-Peng Yanwu Science and Education Cooperation Center, the Institute of High Energy Physics of the Chinese Academy of Sciences-Northeast University's "Qian Sanqiang" British Talent Class, Northeast University Innovation and Entrepreneurship College, college student innovation and entrepreneurial training program project project support. The first author Liu Xiaohui, a 2022 undergraduate graduate of Northeast University, has won honorary titles such as outstanding students and outstanding graduates in Liaoning Province during the school. At present, it has been sent to the National Observatory of the Chinese Academy of Sciences to study for a doctorate degree. The research direction is radio astronomy. It is reported that the "The Astrophysical Journal" magazine is one of the most international influential academic journals in the field of astronomy and celestial physics. It was founded in 1895. The magazine published the world's most original celestial physics cutting -edge research results. The famous physicist and Nobel winner Chandraseca had long been the editor -in -chief of the magazine. Since the 20th century, the results of the Nobel Prize in Physics in the field of astronomy have been published in "The Astrophysical Journal", which has continued to have a significant impact on the world's astronomical research.

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PART.5

The School of Materials of Northeast University in terms of alloy structure changes

Obtaining important progress

The School of Materials Science and Engineering of Northeast University has made progress in the study of high-entropy alloy structure. The relevant research results are published in Acta Materialia (Acta Mater.20222222 " , 238: 118207). The research uses the ball difference between the Northeast University Analysis and Test Center to correct the electron microscope combined with the first principle of the first principle. The first author of the paper is Zhao Xiaobo, a graduate graduate student of the School of Materials Science and Engineering of Northeast University, and Dr. Xie Hongbo and Professor Qin Gaowu of the School of Materials School of Materials. The study was mainly supported by the National Natural Science Foundation of China (No. 52101129) and the central university's basic scientific research business fee (No. N2202013).

The change of solid state is everywhere, which is the basis of modern materials science. In recent years, the BCC-type difficulty high-entropy alloys (Refractory High-ENTropy Alloys) are considered to have a wide range of application prospects in the future of high-temperature alloys, super bombs and superconducting fields. It is crucial to regulating its performance. However, due to the high -constructing entropy and atomic diffusion of high entropy alloys, large -scale Omega (ω) phase changes in the BCC high -entropy alloy system are considered very difficult.

In the high -entropy alloys of the BCC Tizrnbta model with a stable bccctus Tizrnbta model, the study used the sphere electron microscope to confirm the unusual ω and multi -type ω phase change in the system, and finally promoted the alloy community structure form. These chemical ordered ω and multi-type ω phase are formed by the BCC-2 structure in the separation product of the phase. The first principle calculation indicates that the BCC lattice can be transformed into a non -dense hexagonal super structure through adaptive atoms, and a specific cut response (substrate of the substrate is collectively applied to the (0001) ω atomic layer along the direction of the A or B axis Caused by restraint) can transition the completely orthodox super structure into a sub -orthogonal junction. The discovery of the transformation of ω and multi -type ω ultra -structural transformation in TizRNBTA alloys indicate that this kind of phase change phenomenon may be widely existed in the BCC -type high -entropy alloys, which will provide theoretical guidance for subsequent new advanced difficult melting high entropy alloys.

On the other hand, the research has further enhanced people's understanding of ω phase change. The ω phase change that occurs in the IV -family metal or alloy is usually three types: heat -free displacement, temperature diffusion displacement, or equivalent temperature -free displacement. The distribution (separation) and displacement transformation also contains the universal-organizable-ordered super-structural transformation and cutting of the atomic layer collective displacement. In addition, traditional ω is often nano -scale, with plate or ellipsoida, and is completely common with the BCC matrix; There is a half -common relationship with the BCC matrix.

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PART.6

Professor Xu Wei team of Northeast University is based on migration under minimal samples

Important breakthroughs in the design of steel material fatigue design

东北大学轧制技术与连轧自动化国家重点实验室徐伟教授团队在Acta Materialia 235 (2022) 118103发表题为"On theuse of transfer modelling to design new steels with excellent rotating bendingfatigue resistance even in the case of very small The research results of Calibration DataSets ", the first author of the article is Wei Xiaoyi, a laboratory doctoral student, and Professor Xu Wei. With the development of material gene engineering and data science, machine learning methods have been widely used in organizational performance prediction and composition process design of new materials, and have achieved remarkable results. However, although the machine learning strategy can directly build a connection between the alloy "ingredients/process-performance" or "composition/process/organization-performance", and to further realize the high-efficiency optimization design of the alloy, it is currently commonly used. Machine learning strategies are inevitably highly rely on high -quality databases that include hundreds of or even thousands of alloy samples. For alloy design (such as fatigue performance) with high test time and funding performance, building such a large -scale and high -quality database is obviously extremely difficult. Usually, under a new alloy system to be developed, it can be being developed. The number of samples that can be used can only reach dozens of groups, which is far less than supporting the establishment of traditional machine learning models. Therefore, the high cost established by databases has become the core bottleneck that restricts the further development of artificial intelligence methods in the field of alloy design.

In response to the bottlenecks of alloy optimization design under the above minimal samples, Professor Xu Wei's team proposed the migration learning prediction and design method of mechanical theory guidance. In this method, first build a source model with a low -cost tensile performance big data set, and then guide the high correlation between stretching performance and fatigue performance. Learn the prediction framework to achieve accurate prediction of fatigue strength under minimalist samples. The prediction model was then combined with the high -throughput optimization algorithm to form an efficient alloy computing design framework. Based on the large sample data set that contains more than 30 fatigue performance data based on the design framework, a new type of high fatigue strength low -alloy steel is successfully designed. The migration prediction and design framework proposed by the work greatly reduced the data of high -cost fatigue data Demand, which in turn reduces the time and demand for the accumulation of data required to build accurate models, and greatly reduces the alloy R & D cycle and cost. In addition, through the prediction and design process of comparison of migration models, the ability to improve the performance and design efficiency of the theory of mechanics to the migration of mechanical theoretical guidance is clearly revealed. At the same time, the work further clarified the portability and applicability of the two migration frameworks. The research results provide feasible ideas for high -efficiency performance optimization and design of steel materials based on minimal sample data.

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PART.7

Professor Zhao Yuhai team in Northeast University in the field of semantic code search

Get the latest research progress

Professor Zhao Yuhai, School of Computer Science and Engineering, Northeast University, has achieved the latest research progress in the field of semantic code search. The paper "How to Better Utilize Code Graphs In Semantic Code Search?" Symposium on the Foundation of Software Engineering/EUROPEAN SOFTWARE Engineering Conference long text (CCF A conference). The results of the research were jointly completed by researchers, Professor Zhao Yuhai (Communication Author) and Dr. Shi Yuzen (First Author) in conjunction with Singapore University of Science and Technology, Singapore University of Management, Macau University of Science and Technology, and Huawei Software Engineering Application Technology Laboratory.

This work mainly faces the current semantic code search model that cannot effectively learn the structure information of the code diagram. It proposes a unique and reversible code chart-sequenceless conversion method. This method can be flexibly integrated with the existing mainstream models, and better use the code chart structure information to improve the effectiveness of semantic code search. Compared with the existing model, the two new semantic code search models proposed by this method GSMM and GSCodebert are significantly better than the best level of the same type in public evaluation indicators. Figure structure information. The results have been well received by the reviewer during the review process, have important research value and application prospects, and largely promote the development of semantic code search fields.

ESEC/FSE is one of the international conferences with the highest academic status in the field of software engineering. It is very strict with the review of submission papers. It not only has high requirements for the original innovation in the dissertation, but also requires the practical practicality of the paper to solve the practical problems of the project. sex. It is reported that this is the first author of the first school of computer science and engineering as the top conference paper in the software engineering field of Northeast University. The result was the latest of the latest latest of KDD 2021 (ACM SIGDDDDDDDDDDDs Conference Discovery and DAND DISCovery and DISCovery and DISCovery and DISCovery and Discovery and Discovery, a master's degree, After the research results, another major academic achievement was achieved. The continuous achievements of the above -mentioned breakthrough research results marked that the scholars of the School of Computer Science and Engineering have made great progress in the field of cross -research field -based disciplines. The academic influence and contribution of our school in related fields have laid a good foundation for the exchanges and interactions between our school scholars and the top international scholars in the future.

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PART.8

Team of Northeast University Academy of Science

Important breakthrough

Recently, the team of Associate Professor Song Yu and Professor Liu Xiaoxia in the Department of Chemistry of the School of Sciences of our school have made important progress in the field of ion -ion battery in the water system zinc ion battery. For the first time, the transitional metal -based bisroxidexide was used for mild water -based zinc ion batteries. The research results "COBALT-NICKELDOUBLE HYDROXIDE TOWARD MILD MILD AQUEOUS ZINC-You Batteries" is published online in the international authoritative journal Advanced Functional Materials. The result is the first completion unit of the Northeast University School of Science and Technology. Our school's analysis and testing center provides key support for the structure of the work material structure and other data collection.

Water -based zinc ion batteries have the advantages of low cost, high safety, and have broad prospects in large -scale energy storage applications. At present, water -based zinc -ion battery positive materials mainly include metal oxides, conductive polymers, polycotic compounds, and Prussian blue categories. Low -low energy density and complex energy storage mechanisms limited the development of zinc ion batteries. The dual -hydrogen oxide (LDHS) of the two -dimensional layer of structure (LDHS) is widely used in alkaline batteries due to good electrochemical activity and high discharge voltage (~ 1.6 VVS. Zn2+/Zn). However, a strong alkaline electrolyte may cause the formation of insulation zinc branches and environmental pollution. Due to the limitation of ZN2+on the surface of laminar -like hydrogen oxide and internal mass transmission dynamics, such materials are difficult to apply in the neutral water -based zinc ion battery.

Professor Song Yu and Professor Liu Xiaoxia of the Department of Chemistry of Northeast University Institute of Sciences proposed the "electrochemical induction activation" strategy to introduce hydrogen spaces in cobalt -nickel hydrogen oxides to improve ZN2+to adsorb thermodynamics on the electrode surface, accelerate the internal electronics of the material, It is used to improve the zinc storage properties of dihydrogen oxide. This material has a high ratio of 185 MAH G-1 under the current density of 1.2 A G-1, an average discharge voltage of 1.61V, and an excellent energy density of 296.2 WH KG-1. Zinc ion battery positive material.

Figure 1 Electrochemical preparation and appearance representation of cobalt -nickel hydroxide

For the first time, the transitional metal -based bipotreal is applied to a mild water -based zinc ion battery. The main scientific discoveries of this work are: 1) Electrochemical induction activation methods can destroy the O-H key and introduce hydrogen spaces in the transitional metal hydrogen oxide; Improve its cationic adsorption thermodynamics and provide rich cationic embedded active sites; 3) Transfer metal dual -hydrogen oxide experienced ZN2+/H+embedded mechanism in weak acid sulfate electrolytes. This work focuses on the frontier of the energy field and provides new opportunities for preparation of high performance and sustainable water -based zinc ion batteries.

Source | Northeast University News Network

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