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44 results about "Atom model" patented technology

Structure detection method of protein cryoelectron microscopy density map

The invention discloses a structure detection method of a protein cryoelectron microscopy density map, which belongs to the field of bioinformatics. The method comprises the following steps of: 1) selecting an atom matching conditions in an atom model to indicate the atom model; 2) selecting a key point in a protein cryoelectron microscopy density map to be inspected and adding the key point to a set M; 3) for a point g in the set M, calculating a point g which is closest to the point p in a set M and is used as a corresponding point to the point p, and adding the point g in a set G; 4) calculating a rotation quaternion q and a translation vector t of the atom model according to the sets P and G; 5) calculating a rotation matrix R according to the rotation quaternion q, and calculating the position of each rotated atom coordinate according to R and t, so as to obtain the matching result of the atom model and the density map, and 6) obtaining the structure of the protein cryoelectron microscopy density map to be detected according to the matching result meeting the requirements. The method has the advantages that the robustness is good, the data model is not required to be coincident with density data, the calculated amount is small, and programming is easy to realize.
Owner:COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI

Molecular structure and chemical bond classification assembling model for chemical teaching

InactiveCN108461025AEasy to understandIntuitive and clear teachingEducational modelsRubber materialChemical reaction
The present invention discloses a molecular structure and chemical bond classification assembling model for chemical teaching. The model comprises an atom model and a chemical bond model, the atom model is made of elastic rubber and is configured to differentiate the atomic species according to different colors and radiuses, and a plurality of jacks are uniformly arranged at the surface of the atom model; the chemical bond model comprises a [Sigma]-bond model and a [Pi]-bond model, the [Sigma]-bond model is made of rigid plastic materials, the [Pi]-bond model is made of elastic rubber materials, the chemical bond model is a rod-shaped configuration and two ends of the chemical bond model are provided with plugs, the middle portion of the chemical bond model are provided with breaking points, the breaking points are connected through flexible glue sleeve, and the breaking points are configured to demonstrate the broken bond re-connection process of the chemical bonds in the chemical reaction. The molecular structure and chemical bond classification assembling model for chemical teaching can be used for demonstration of a molecular structure and chemical reaction process in the chemical teaching to allow teaching to be more visual and clear, facilitate deep understanding of students to the chemical reaction principle and process and improve the teaching effect.
Owner:蚌埠市易跑道教育科技有限公司

Combination simulation method and device based on semantic mapping, equipment and medium

The invention relates to a semantic mapping-based combination simulation method and device, equipment and a medium, and the method comprises the steps: obtaining a combination simulation task, wherein the combination simulation task comprises a plurality of simulation events, and each simulation event is formed by connecting a plurality of simulation parts; converting the simulation parts into atomic models by defining internal execution logic and external interface logic of the simulation parts, and converting the combination simulation task into a semantic layer combination simulation model; according to the combination simulation task, obtaining a pre-stored grammar layer combination simulation model; and according to the semantic layer combination simulation model and the grammar layer combination simulation model, obtaining a mapping relation of conversion from the semantic layer to the grammar layer, establishing an executable layer combination simulation model corresponding to each simulation event, and inputting the executable layer combination simulation models into a simulation system for combination simulation. By adopting the method, the relation between simulation system construction and simulation context constraint can be established, the modeling process is simple and rapid, and modeling results are convenient to combine.
Owner:HUNAN GAOZHI SCI & TECH CO LTD

Method for quantitatively analyzing force field parameters of n-pentane/iso-pentane separation in molecular sieves

The invention relates to a method for quantitatively analyzing force field parameters of n-pentane / iso-pentane separation in molecular sieves. The method comprises the following steps of: constructingn-pentane and iso-pentane models by adoption of a united atom model; calling out an MFI molecular sieve, establishing a 2*2*2 supercell, carrying out structure and unit cell optimization, and selecting a debugging force field; correspondingly adjusting R0 and D0, and applying adjusted parameters to Monte Carlo simulation until simulation data accords with experiment data; carrying out Monte Carlosimulation calculation by utilizing Sorption, and determining force field parameters through comparing single-component adsorption isotherm and adsorption heat simulation data with the experiment data; and applying debugged parameters to research of double-component competitive adsorption. According to the method, a new force field aiming at specific system adsorption separation of n-pentane / iso-pentane is constructed on the basis of MS software, the calculation result is correct, and popular guiding significance is brought to adsorption separation behaviors of alkane in molecular sieves.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Multi-scale modeling calculation method for bearing steel material M50 alloy

The invention discloses a multi-scale modeling calculation method of a bearing steel material M50 alloy, and belongs to the field of multi-phase alloy multi-scale modeling. Comprising the following steps: delimiting a sample observation area; carrying out phase type and distribution identification and elemental composition and crystal structure analysis on the sample in the observation area to obtain a mesoscopic element mass ratio and elemental compositions of different phases; establishing an atomic scale model of a single phase according to the phase type and the crystal structure; establishing an equation through the mesoscopic element mass ratio and phase element composition, and solving the number of each phase in the atomic model and the proper size of an iron matrix; randomly inserting several phase structures into the iron matrix according to the obtained phase proportion, and optimizing the structure to obtain a micro-mesostructure model of the bearing steel material M50 alloy; various properties of the alloy can be simulated on the mesoscale based on the model, and the structural transformation process of the alloy on the atomic scale during heat treatment and damage and the damage mechanism of the M50 alloy can be simulated and observed.
Owner:XI AN JIAOTONG UNIV

Structure detection method of protein cryoelectron microscopy density map

The invention discloses a structure detection method of a protein cryoelectron microscopy density map, which belongs to the field of bioinformatics. The method comprises the following steps of: 1) selecting an atom matching conditions in an atom model to indicate the atom model; 2) selecting a key point in a protein cryoelectron microscopy density map to be inspected and adding the key point to a set M; 3) for a point g in the set M, calculating a point g which is closest to the point p in a set M and is used as a corresponding point to the point p, and adding the point g in a set G; 4) calculating a rotation quaternion q and a translation vector t of the atom model according to the sets P and G; 5) calculating a rotation matrix R according to the rotation quaternion q, and calculating the position of each rotated atom coordinate according to R and t, so as to obtain the matching result of the atom model and the density map, and 6) obtaining the structure of the protein cryoelectron microscopy density map to be detected according to the matching result meeting the requirements. The method has the advantages that the robustness is good, the data model is not required to be coincident with density data, the calculated amount is small, and programming is easy to realize.
Owner:COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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